CN117560103A

CN117560103A - Perception processing method and device, terminal and network side equipment

Info

Publication number: CN117560103A
Application number: CN202210918051.7A
Authority: CN
Inventors: 李健之; 姜大洁; 姚健; 丁圣利
Original assignee: Vivo Mobile Communication Co Ltd
Current assignee: Vivo Mobile Communication Co Ltd
Priority date: 2022-08-01
Filing date: 2022-08-01
Publication date: 2024-02-13
Also published as: WO2024027538A1

Abstract

The application discloses a perception processing method, a device, a terminal and network side equipment, which belong to the technical field of perception, and the perception processing method in the embodiment of the application comprises the following steps: the first device determining a first measurement result based on the multi-port known beam measurement; the first device determines a first set of beams based on the first measurement, the first set of beams including at least one beam that satisfies a perception condition.

Description

Perception processing method and device, terminal and network side equipment

Technical Field

The application belongs to the technical field of perception, and particularly relates to a perception processing method, a device, a terminal and network side equipment.

Background

With the development of communication technology, in a communication system, measurement of a sensing target can be performed based on a sensing signal or a sense-of-general integrated signal. Currently, beam management is typically performed on a single port basis to determine the set of beams used to transmit the perceived signal or the perceived integrated signal. Therefore, in the prior art, the accuracy of sensing is lower due to the limitation of the number of ports.

Disclosure of Invention

The embodiment of the application provides a perception processing method, a device, a terminal and network side equipment, which can solve the problem of lower perception precision.

In a first aspect, a perceptual processing method is provided, including:

the first device determining a first measurement result based on the multi-port known beam measurement;

the first device determines a first set of beams based on the first measurement, the first set of beams including at least one beam that satisfies a perception condition.

In a second aspect, a perceptual processing method is provided, comprising:

the target perception node receives first beam information from a computing node, wherein the first beam information comprises beam information of at least part of beams in a first beam set determined by the computing node based on a first measurement result of multi-end perception beam measurement;

the target sensing node executes sensing service based on the first beam information;

the target sensing node is a first sensing node or a second sensing node, the first sensing node is a transmitting node of a first signal for multi-port sensing beam measurement, and the second sensing node is a receiving node of the first signal.

In a third aspect, a perception processing apparatus is provided, including:

a first determining module for determining a first measurement result based on multi-port sensor beam measurement;

A second determining module for determining a first set of beams based on the first measurement result, the first set of beams comprising at least one beam satisfying a perception condition.

In a fourth aspect, a sensing processing device is provided, which is applied to a target sensing node, and includes:

a second receiving module configured to receive first beam information from a computing node, where the first beam information includes beam information of at least some beams in a first set of beams determined by the computing node based on a first measurement result of multi-port perceptual beam measurement;

the second execution module is used for executing a perception service based on the first beam information;

In a fifth aspect, there is provided a terminal comprising a processor and a memory storing a program or instructions executable on the processor, which when executed by the processor, performs the steps of the method according to the first aspect, or performs the steps of the method according to the second aspect.

In a sixth aspect, a terminal is provided, comprising a processor and a communication interface, wherein,

the processor is configured to determine a first measurement result based on multi-port aware beam measurement, if the terminal is a first device; determining a first set of beams based on the first measurement, the first set of beams comprising at least one beam that satisfies a perception condition;

or, in the case that the terminal is a sensing node, the communication interface is configured to receive first beam information from a computing node, where the first beam information includes beam information of at least some beams in a first beam set determined by the computing node based on a first measurement result of multi-port sensing beam measurement; the processor is configured to perform a sensing service based on the first beam information; the target sensing node is a first sensing node or a second sensing node, the first sensing node is a transmitting node of a first signal for multi-port sensing beam measurement, and the second sensing node is a receiving node of the first signal.

In a seventh aspect, a network side device is provided, comprising a processor and a memory storing a program or instructions executable on the processor, which when executed by the processor, implement the steps of the method as described in the first aspect, or implement the steps of the method as described in the second aspect.

In an eighth aspect, a network-side device is provided, including a processor and a communication interface, where,

the processor is configured to determine a first measurement result based on multi-port aware beam measurement in case the network side device is a first device; determining a first set of beams based on the first measurement, the first set of beams comprising at least one beam that satisfies a perception condition;

or in the case that the network side device is a sensing node, the communication interface is configured to receive first beam information from a computing node, where the first beam information includes beam information of at least part of beams in a first beam set determined by the computing node based on a first measurement result of multi-port sensing beam measurement; the processor is configured to perform a sensing service based on the first beam information; the target sensing node is a first sensing node or a second sensing node, the first sensing node is a transmitting node of a first signal for multi-port sensing beam measurement, and the second sensing node is a receiving node of the first signal.

In a ninth aspect, there is provided a communication system comprising: a terminal and a network side device, where the terminal is configured to perform the steps of the sensing processing method according to the first aspect or the second aspect, and the network side device is configured to perform the steps of the sensing processing method according to the first aspect or the second aspect.

In a tenth aspect, there is provided a readable storage medium having stored thereon a program or instructions which when executed by a processor, performs the steps of the method according to the first aspect or performs the steps of the method according to the second aspect.

In an eleventh aspect, there is provided a chip comprising a processor and a communication interface, the communication interface and the processor being coupled, the processor being for running a program or instructions, implementing the steps of the method as described in the first aspect, or implementing the steps of the method as described in the second aspect.

In a twelfth aspect, there is provided a computer program/program product stored in a storage medium, the computer program/program product being executed by at least one processor to implement the steps of the method as described in the first aspect, or to implement the steps of the method as described in the second aspect.

The method comprises the steps of determining a first measurement result based on multi-port sensing beam measurement through first equipment, and determining a first beam set based on the first measurement result, wherein the first beam set comprises at least one beam meeting a sensing condition. As the sensing measurement is performed on a plurality of ports, the number of ports for beam management is increased, and thus, the array aperture is fully utilized to realize high-precision/super-resolution sensing. Therefore, the embodiment of the application improves the sensing precision, improves the sensing SNR and solves the problem of limited high-frequency sensing coverage range.

Drawings

FIG. 1 is a schematic diagram of a network architecture for use herein;

FIG. 2 is a flow chart of a perception processing method provided in the present application;

FIG. 3 is a schematic view of a perception scenario in which a perception processing method provided in the present application is applied;

FIG. 4 is a schematic diagram of another perceptual scene to which the perceptual processing method provided in the present application is applied;

FIG. 5 is a flow chart of another perception processing method provided herein;

FIG. 6 is a block diagram of a perception processing apparatus provided herein;

FIG. 7 is a block diagram of another perception processing apparatus provided herein;

FIG. 8 is a block diagram of a communication device provided herein;

fig. 9 is a block diagram of a terminal provided in the present application;

fig. 10 is a block diagram of a network side device provided in the present application;

fig. 11 is a block diagram of another network side device provided in the present application.

Detailed Description

Technical solutions in the embodiments of the present application will be clearly described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application are within the scope of the protection of the present application.

The terms first, second and the like in the description and in the claims, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments of the application are capable of operation in sequences other than those illustrated or otherwise described herein, and that the terms "first" and "second" are generally intended to be used in a generic sense and not to limit the number of objects, for example, the first object may be one or more. Furthermore, in the description and claims, "and/or" means at least one of the connected objects, and the character "/" generally means a relationship in which the associated object is an "or" before and after.

It is noted that the techniques described in embodiments of the present application are not limited to long term evolution (Long Term Evolution, LTE)/LTE evolution (LTE-Advanced, LTE-a) systems, but may also be used in other wireless communication systems, such as code division multiple access (Code Division Multiple Access, CDMA), time division multiple access (Time Division Multiple Access, TDMA), frequency division multiple access (Frequency Division Multiple Access, FDMA), orthogonal frequency division multiple access (Orthogonal Frequency Division Multiple Access, OFDMA), single carrier frequency division multiple access (Single-carrier Frequency Division Multiple Access, SC-FDMA), and other systems. The terms "system" and "network" in embodiments of the present application are often used interchangeably, and the techniques described may be used for both the above-mentioned systems and radio technologies, as well as other systems and radio technologies. The following description describes a New air interface (NR) system for purposes of example and uses NR terminology in much of the description that follows, but these techniques are also applicable to applications other than NR system applications, such as generation 6 (6) ^th Generation, 6G) communication system。

Fig. 1 shows a block diagram of a wireless communication system to which embodiments of the present application are applicable. The wireless communication system includes a terminal 11 and a network device 12. The terminal 11 may be a mobile phone, a tablet (Tablet Personal Computer), a Laptop (Laptop Computer) or a terminal-side Device called a notebook, a personal digital assistant (Personal Digital Assistant, PDA), a palm top, a netbook, an ultra-mobile personal Computer (ultra-mobile personal Computer, UMPC), a mobile internet appliance (Mobile Internet Device, MID), an augmented reality (augmented reality, AR)/Virtual Reality (VR) Device, a robot, a Wearable Device (weather Device), a vehicle-mounted Device (VUE), a pedestrian terminal (PUE), a smart home (home Device with a wireless communication function, such as a refrigerator, a television, a washing machine, or a furniture), a game machine, a personal Computer (personal Computer, PC), a teller machine, or a self-service machine, and the Wearable Device includes: intelligent wrist-watch, intelligent bracelet, intelligent earphone, intelligent glasses, intelligent ornament (intelligent bracelet, intelligent ring, intelligent necklace, intelligent anklet, intelligent foot chain etc.), intelligent wrist strap, intelligent clothing etc.. Note that, the specific type of the terminal 11 is not limited in the embodiment of the present application. The network-side device 12 may comprise an access network device or core network device, wherein the access network device may also be referred to as a radio access network device, a radio access network (Radio Access Network, RAN), a radio access network function or a radio access network element. The access network device may include a base station, a WLAN access point, a WiFi node, or the like, where the base station may be referred to as a node B, an evolved node B (eNB), an access point, a base transceiver station (Base Transceiver Station, BTS), a radio base station, a radio transceiver, a basic service set (Basic Service Set, BSS), an extended service set (Extended Service Set, ESS), a home node B, a home evolved node B, a transmission receiving point (Transmitting Receiving Point, TRP), or some other suitable terminology in the field, and the base station is not limited to a specific technical vocabulary so long as the same technical effect is achieved, and it should be noted that in the embodiment of the present application, only the base station in the NR system is described by way of example, and the specific type of the base station is not limited. The core network device may include, but is not limited to, at least one of: core network nodes, core network functions, mobility management entities (Mobility Management Entity, MME), access mobility management functions (Access and Mobility Management Function, AMF), session management functions (Session Management Function, SMF), user plane functions (User Plane Function, UPF), policy control functions (Policy Control Function, PCF), policy and charging rules function units (Policy and Charging Rules Function, PCRF), edge application service discovery functions (Edge Application Server Discovery Function, EASDF), unified data management (Unified Data Management, UDM), unified data repository (Unified Data Repository, UDR), home subscriber server (Home Subscriber Server, HSS), centralized network configuration (Centralized network configuration, CNC), network storage functions (Network Repository Function, NRF), network opening functions (Network Exposure Function, NEF), local NEF (or L-NEF), binding support functions (Binding Support Function, BSF), application functions (Application Function, AF), and the like. In the embodiment of the present application, only the core network device in the NR system is described as an example, and the specific type of the core network device is not limited.

For ease of understanding, some of the matters related to the embodiments of the present application are described below:

1. communication awareness integration (Integrated Sensing and Communication, ISAC).

Wireless Communication and radar Sensing (C & S) have been developed in parallel, but with limited intersections. They share much in terms of signal processing algorithms, devices, and to some extent system architecture. In recent years, conventional radars are moving toward more general wireless perception. Wireless perception may broadly refer to retrieving information from a received radio signal. For wireless sensing related to the sensing target position, dynamic parameters such as reflection delay, arrival angle, departure angle, doppler and the like of a target signal can be estimated through a common signal processing method; for sensing target physical characteristics, this can be achieved by measuring the natural signal pattern of the device/object/activity. The two sensing modes can be respectively called sensing parameter estimation and pattern recognition. In this sense, wireless sensing refers to more general sensing techniques and applications that use radio signals.

Communication awareness integration may also be referred to as universal awareness integration, ISAC has the potential to integrate wireless awareness into mobile networks, referred to herein as awareness mobile networks (Perceptive Mobile Networks, PMNs). Perceived mobile networks are capable of providing both communication and wireless perceived services and are expected to be a ubiquitous wireless sensing solution due to their large broadband coverage and powerful infrastructure. The perception mobile network can be widely applied to communication and sensing in the fields of traffic, communication, energy, precision agriculture and safety. The sensor network can also provide complementary sensing capability for the existing sensor network, has unique day and night operation function, and can penetrate fog, leaves and even solid objects.

Multiple-Input Multiple-Output (MIMO) radar and high-precision parameter estimation techniques.

MIMO radar can obtain higher detection/estimation resolution, higher maximum identifiable target number, and better clutter suppression capability relative to phased Array (Phase Array) using waveform diversity (Waveform Diversity) and Virtual Array (Virtual Array) characteristics. MIMO radars can be further classified into a centralized MIMO radar (Co-located MIMO Radar) and a distributed MIMO radar (Distributed MIMO Radar) according to antenna deployment locations. The MIMO radar virtual array principle is as follows. Considering the total number of the MIMO radar transmitting array antennas as M, and the position coordinates of each transmitting antenna as x _T,m M=0, 1,..m-1, total number of receive array antennas N, each receive antenna coordinate x _R,n N=0, 1,..n-1. Assuming that the transmit signals of the transmit antennas are orthogonal, then:

wherein s is _m (t) represents the transmission signal of the mth antenna, s _k (t) represents the kthTransmitting signal of antenna, delta _mk Is a dirac function. At this time, the receiver separates the transmission signals using M matched filters for each reception antenna, so that the receiver obtains NM reception signals in total. Considering 1 far field point target, the target response obtained by the mth matched filter of the nth receive antenna can be expressed as:

Wherein u is _t Is 1 unit vector pointing from radar transmitter to point target, alpha ^(t) And lambda is the carrier frequency wavelength of the transmitted signal and is the reflection coefficient of the point target.

It can be seen that the phase of the reflected signal is determined jointly by the transmitting antenna and the receiving antenna. Equivalently, the target response of equation (2) is exactly the same as that obtained for 1 array with NM antennas, and the equivalent array antenna position coordinates are:

{x _T,m +x _R,n |m＝0,1,...,M-1；n＝0,1,...,N-1} (3)

the Array with NM antennas is called Virtual Array (VA). When the MIMO radar is actually deployed, an array comprising NM virtual antennas which are not overlapped with each other can be constructed by reasonably setting the positions of a transmitting array and/or a receiving array and only by N+M physical antennas. Better angular resolution can be obtained because virtual arrays tend to be able to form larger array apertures.

Considering the implementation complexity and hardware cost, most 5G and 6G massive antenna arrays adopt a hybrid array architecture, i.e. one digital channel is individually connected to one physical antenna sub-array (i.e. one group of physical antenna array elements), and the sub-array senses one group of phase shifters to realize analog beamforming. The digital channel is often smaller than the actual number of physical antenna elements. If the traditional high-precision parameter estimation algorithm (such as MUSIC, ESPRIT and the like) is directly adopted, the high-precision angle sensing potential of the large-scale antenna array cannot be fully exerted. Document [4 ] ]An augmented beam domain angle estimation method is provided, which can solveThe above problems. The core idea is as follows. Consider a linear array of N antennas, where consecutive L antennas are a sub-array, connected to one digital channel via a phase shifter, for a total of M digital channels, i.e., n=ml. Let b _m For the m-th sub-array, the antenna receives the signal vector r (n) ∈C ^N×1 Digital channel signal vector z (n) ∈C combined with shaping ^M×1 The relation of (2) is:

wherein B epsilon CN x M is an analog beamforming matrix. Obviously, the dimension of the received signal vector z (N) is changed from n×1 to m×1 compared to the full digital channel array, and if M is too small, on the one hand, the angular estimation resolution is reduced, and on the other hand, the number of signals that can be estimated is significantly limited. The augmented beam domain estimation method is based on the idea that by changing B, T groups of linearly independent z (n) are generated and spliced together, so that the degrees of freedom of the vector dimension and the correlation matrix of the received signals are further expanded, namely z (n) =B ^H (n) r (n), the received signal vector is [ z (n), z (n+1),. Z (n+t-1)]The dimension becomes mt×1.

3. New air interface (NR) beam management.

Currently, idle frequency bands of mobile communication networks are increasingly reduced, and there is a situation that the frequency band is gradually developed towards high frequency, such as millimeter wave (mmWave) pushed by 5GNR, and terahertz (THz) pushed by 6G, and these frequency bands have a large amount of available resources. However, higher frequencies mean greater transmission loss, and therefore beam management techniques are used in NR. In a mobile communication network, it is possible for both a base station and a User Equipment (UE) to form a beam with a narrow lobe width using beamforming. The purpose of beam management is to acquire and maintain a set of base station-terminal beam pairs available for Downlink (DL) and Uplink (UL) transmission/reception, thereby improving Link performance. Beam management includes the following aspects: beam scanning, beam measurement, beam reporting, beam indication, beam failure recovery.

In the downlink beam management process, beam scanning is divided into three phases of P1, P2 and P3, wherein:

stage P1: the base station and the terminal scan simultaneously, the beam of the base station is wider, and the reference signal is a synchronization signal block (Synchronization Signal and PBCH block, SSB). The protocol specifies the sending behavior of the base station, but the behavior of the terminal is not specified;

and P2: the terminal fixes the receiving beam, the base station scans the narrow beam, and the reference signal is a channel state information reference signal (Channel State Information Reference Signal, CSI-RS);

and P3: the base station fixes the transmitting beam (narrow beam), the terminal narrow beam scans, the terminal beam scans are self-behavior, the base station needs to cooperate with the fixed beam to send.

Of the three processes described above, P1 must be performed, and P2 and P3 are not required. On the basis of P1, if higher requirements are made of service, a P2 process can be executed; if the terminal capability is available and the base station considers that the service performance can be further improved, a P3 procedure can be performed. The P1 process usually depends on SSB only, the P3 process is not suitable for SSB because the terminal needs to be fixed to transmit beams, and the CSI-RS should be used, and the P2 process can be based on SSB or CSI-RS.

Beam scanning for upstream beam management is based on SRS. Similar to the downstream, it can be divided into stages U1, U2 and U3, wherein:

stage U1: the base station scans the transmitting beam of the terminal to determine the optimal transmitting beam of the UE, and simultaneously scans the receiving beam of the TRP to determine the optimal receiving beam of the base station; (this procedure is optional)

And U2: under the condition that the sending beam of the UE is fixed, the base station scans the receiving beam of the TRP and determines the optimal receiving beam;

and U3: on the premise of determining the optimal receiving beam, the base station selects the optimal UE transmitting beam by scanning the transmitting beam of the terminal;

uplink beam management may be accomplished by configuring dedicated sounding reference signal (Sounding Reference Signal, SRS) resources, or by determining the best uplink transmit beam (direction) from the best downlink transmit beam based on beam reciprocity.

If the receiving quality of the user control channel is lower than a certain threshold due to shielding, the terminal side initiates a beam failure recovery flow. The beam failure detection is mainly based on SSB or CSI-RS reference signals configured at the base station side. And the terminal detects that the number of failures is greater than or equal to the maximum number parameter of failures in the duration of the failure detection timer, triggers a beam failure recovery flow, TRP receives an uplink recovery request signal through receiving end beam scanning, reselects a new SSB corresponding beam according to the parameter configuration of beam recovery, initiates a random access process on a physical random access channel (Physical Random Access Channel, PRACH) resource for beam recovery, reestablishes a new beam pair with a base station, and recovers transmission.

4. And (5) sensing measurement.

In a mobile communication network, a base station (including some 1 or more transmission and reception points (Transmission Reception Point, TRP) on the base station, user Equipment (User Equipment, DMRS), UE (including 1 or more subarrays/panels (panels) on the UE), may be used as a sensing node participating in a sensing/passing integrated service.

Depending on whether the sensing node is the same device, two sensing modes can be divided: a sends out B and receives, A spontaneously self-receives. The A-sending B-receiving means that the sensing node A and the sensing node B are not the same equipment and are separated in physical position; a self-receiving means that the first signal transmission and reception are performed by the same device, and the sensing node a senses by receiving a signal echo transmitted by itself. This patent mainly discusses a transmit-receive sensing mode.

The node that sends and/or receives the first signal is referred to as a sensing node. The node for indicating, scheduling, controlling the Sensing node and calculating the Sensing result may be a certain node in the Sensing node, or may be a device in the core network, for example, a Sensing Function (SF), an access and mobility management Function (Access and Mobility Management Function, AMF), a Sensing application server in the core network, etc.

As 5G and future 6G will increasingly use high-band communications, NR introduces beam management for overcoming high-frequency attenuation, enhancing communication coverage, and guaranteeing communication quality. For a base station or UE with multiple antennas, one digital channel is typically connected to multiple physical antenna elements that produce directional beams using analog beamforming. When the sensing node senses less a priori information about the environment or the sensing traffic is sensing a larger area, a single beam of the above hardware architecture may not cover the sensing target/sensing area. If a wide beam is used to increase perceived coverage, the perceived angular resolution will decrease again due to the increased beam width. Furthermore, since fewer ports are used for beam management (SSB is single port, CSI-RS port number is 1 or 2 (cross polarization)), it is impossible or difficult to achieve high accuracy sensing based on MIMO radar principles.

To this end, the present application provides a sensing node with beam management of at least two ports (or multi-ports) where each port is mapped to a physical antenna/antenna sub-array of different array locations. Multiport aware beam management includes at least: sensing beam scanning, sensing beam measurement, sensing beam reporting/indication, sensing beam failure recovery. And obtaining the optimal sensing beam set of each port based on sensing beam measurement results of at least two ports, and further fully utilizing the array aperture to realize high-precision sensing.

The following describes in detail the perception processing method provided in the embodiments of the present application through some embodiments and application scenarios thereof with reference to the accompanying drawings.

Referring to fig. 2, an embodiment of the present application provides a sensing processing method, as shown in fig. 2, including:

step 201, a first device determines a first measurement result based on multi-port sensor beam measurement;

in this embodiment of the present application, the first device may be understood as a computing node that computes the first measurement result. The first device may specifically be a sensing node, or a sensing function network element, which is not further limited herein.

Alternatively, sensing beam scanning is performed at least two ports by the first sensing node and/or the second sensing node to achieve sensing measurements based on multi-port sensing beam measurements. The first sensing node is a transmitting node of a first signal for the sensing measurement, and the second sensing node is a receiving node of the first signal.

Alternatively, the first measurement result may be understood as a sensing beam measurement result, and may specifically include a measurement value of a sensing measurement quantity of the multi-port sensing beam measurement.

Step 202, the first device determines a first set of beams based on the first measurement result, the first set of beams comprising at least one beam satisfying a perception condition.

Optionally, after determining the first measurement result, the first device may determine the first beam set, i.e. the beam set satisfying the sensing condition, according to the first measurement result. The at least one beam satisfying the sensing condition may be understood that the sensing measurement quantity corresponding to the at least one beam satisfies the sensing condition, that is, the measurement value of the sensing measurement quantity of the at least one beam is better, and may be used for a subsequent sensing service. The first set of beams described above may be understood as the best perceived set of beams.

The method comprises the steps of determining a first measurement result based on multi-port sensing beam measurement through first equipment, and determining a first beam set based on the first measurement result, wherein the first beam set comprises at least one beam meeting a sensing condition. As the sensing measurement is performed on a plurality of ports, the number of ports for beam management is increased, and thus, the array aperture is fully utilized to realize high-precision/super-resolution sensing. Therefore, the embodiment of the application improves the sensing precision, improves the sensing signal-to-noise ratio (Signal Noise Ratio, SNR) and solves the problem of limited high-frequency sensing coverage range.

Optionally, in some embodiments, the method further comprises:

the first device sends first beam information to the second device, wherein the first beam information comprises beam information of at least part of beams in the first beam set;

the first device is one of a first sensing node, a second sensing node and a sensing function network element, the second device comprises at least one device except the first device in the first sensing node, the second sensing node and the sensing function network element, the first sensing node is a transmitting node of a first signal for multi-port sensing beam measurement, and the second sensing node is a receiving node of the first signal.

In this embodiment of the present application, in the process of sensing beam measurement based on multiple ports, the first sensing node may perform a beam scanning operation (may also be referred to as a sensing beam scanning operation) and/or the second sensing node may perform a beam scanning operation, where, for different situations, the content included in the corresponding first beam information is different. For example, in some embodiments, the first beam information satisfies at least one of:

in the case that a first sensing node performs a first beam scanning operation on N ports, and the second sensing node receives the first signal using at least one port, the first beam information includes beam information of a transmission beam of the first sensing node in the first beam set;

In the case that a first sensing node uses at least one port to send a first signal, and the second sensing node performs a second beam scanning operation on M ports, the first beam information includes beam information of a receiving beam of the second sensing node in the first beam set;

in the case that a first sensing node performs a first beam scanning operation on N ports and the second sensing node performs a second beam scanning operation on M ports, the first beam information includes beam information of a transmission beam of the first sensing node in the first beam set and/or beam information of a reception beam of the second sensing node in the first beam set;

the first beam scanning operation is used for sending a first signal, the second beam scanning operation is used for receiving the first signal, and N and M are integers larger than 1.

In this embodiment, for the case that the first sensing node performs the first beam scanning operation on N ports and the second sensing node uses at least one port to receive the first beam scanning operation, it may be understood that the beam scanning rule performs the multi-port sensing beam scanning for only the first sensing node; for the case that the first sensing node uses at least one port to send a first signal and the second sensing node performs a second beam scanning operation on M ports, it can be understood that the beam scanning rule performs multi-port sensing beam scanning for only the second sensing node; for the case that the first sensing node performs the first beam scanning operation on N ports and the second sensing node performs the second beam scanning operation on M ports, it may be understood that the beam scanning rule performs multi-port sensing beam scanning for both the first sensing node and the second sensing node.

The scanning rule is different for each of the corresponding computing nodes, and the transmission rule is different for each of the corresponding first beam information, which will be described in detail below.

For rule 1, multi-port aware beam scanning by only the first aware node may include the following:

1) And if the second sensing node is a computing node of the first measurement result, the second sensing node transmits beam information of a transmitting beam of the first sensing node meeting the sensing condition to the first sensing node. Optionally, the second sensing node sends beam information of the sending beam of the first sensing node meeting the sensing condition to the sensing function network element;

2) If the first sensing node is a computing node of the first measurement result, optionally, the first sensing node sends beam information of a sending beam of the first sensing node meeting the sensing condition to the sensing function network element and/or the second sensing node;

3) And if the sensing function network element is a calculation node of the first measurement result, the sensing function network element transmits beam information of a transmission beam of the first sensing node meeting the sensing condition to the first sensing node. Optionally, the sensing function network element sends beam information of the sending beam of the first sensing node meeting the sensing condition to the second sensing node.

For rule 2, multi-port aware beam scanning by only the second aware node may include the following:

1) If the second sensing node is a computing node of the first measurement result, optionally, the second sensing node sends beam information of a receiving beam of the second sensing node meeting the sensing condition to the sensing function network element and/or the first sensing node;

2) If the first sensing node is a computing node of the first measurement result, the first sensing node sends beam information of a receiving beam of the second sensing node meeting the sensing condition to the second sensing node; optionally, the first sensing node sends beam information of a receiving beam of the second sensing node meeting the sensing condition to the sensing function network element;

3) And if the sensing function network element is a calculation node of the first measurement result, the sensing function network element sends the beam information of the receiving beam of the second sensing node meeting the sensing condition to the second sensing node. Optionally, the sensing function network element sends beam information of the receiving beam of the second sensing node meeting the sensing condition to the first sensing node.

For rule 3, the first sensing node and the second sensing node each perform multi-port sensing beam scanning, which may include the following:

1) And if the second sensing node is a computing node of the first measurement result, the second sensing node transmits beam information of a transmitting beam of the first sensing node meeting the sensing condition to the first sensing node. Optionally, the second sensing node sends beam information of the sending beam of the first sensing node meeting the sensing condition and/or a receiving beam set of the second sensing node meeting the sensing condition to the sensing function network element;

2) If the first sensing node is a computing node of the first measurement result, the first sensing node sends beam information of a receiving beam of the second sensing node meeting the sensing condition to the second sensing node; optionally, the first sensing node sends beam information of the receiving beam of the second sensing node meeting the sensing condition and/or a sending beam set of the first sensing node meeting the sensing condition to the sensing function network element;

3) If the sensing function network element is a computing node of the first measurement result, the sensing function network element sends beam information of a sending beam of the first sensing node meeting the sensing condition to the first sensing node. The sensing function network element sends beam information of a receiving beam of the second sensing node meeting the sensing condition to the second sensing node; optionally, the sensing function network element sends beam information of the receiving beam of the second sensing node meeting the sensing condition to the first sensing node. Optionally, the sensing function network element sends beam information of the sending beam of the first sensing node meeting the sensing condition to the second sensing node.

Optionally, the beam information may include at least one of a resource IDentifier (ID) of the first signal, a beam IDentifier, a number of beams, a beam angle, a precoding vector for forming a beam, a beam forming vector for forming a beam, a precoding matrix for forming a beam, and a beam forming matrix for forming a beam.

Optionally, in some embodiments, where the first device is a first aware node, the method further comprises any one of:

the first device performs a first beam scanning operation on N ports, where N is an integer greater than 1, and the first beam scanning operation is used to send a first signal;

the first device transmitting the first signal using at least one port;

wherein the first signal is used for the multi-port sensor beam measurement.

Alternatively, the first beam scanning operation may be understood as that the first sensing node performs multi-port sensing beam scanning. In this embodiment of the present application, for rule 1 and rule 3, the first device performs a first beam scanning operation on N ports, and for rule 2, the first device uses at least one port to send the first signal.

Optionally, in some embodiments, the first device determining the first measurement of the multi-port known beam measurement comprises:

the first device receives first information from a sensing function network element or a second sensing node;

the first device determines the first measurement result according to the first information.

Optionally, in some embodiments, where the first device is a second aware node, the method further comprises any one of:

the first device performs a second beam scanning operation on M ports, where M is an integer greater than 1, the second beam scanning operation being used to receive the first signal;

the first device receives the first signal using at least one port;

wherein the first signal is used for the multi-port sensor beam measurement.

Alternatively, the first beam scanning operation may be understood as that the first sensing node performs multi-port sensing beam scanning. In this embodiment of the present application, for rule 2 and rule 3, the first device performs a first beam scanning operation on N ports, and for rule 1, the first device uses at least one port to send the first signal.

Optionally, the first device determining the first measurement result based on the multi-port known beam measurement comprises:

The first equipment receives second information from a sensing function network element or a first sensing node, wherein the first sensing node is a transmitting node of the first signal;

the first device determines the first measurement result according to the second information.

Optionally, in some embodiments, where the first device is a sensing function network element, determining, by the first device, a first measurement result of the first measurement includes:

the first device receives second information from the first sensing node and receives first information from the second sensing node;

the first device determines the first measurement result according to the first information and the second information;

the first sensing node is a transmitting node of a first signal for the first measurement, and the second sensing node is a receiving node of the first signal.

Optionally, the first information satisfies at least one of:

in the case where the first sensing node performs a first beam scanning operation on N ports and the second sensing node receives the first signal using at least one port, the first information includes at least one of: the method comprises the steps of parameter configuration information of a first signal, received signal IQ data of the first signal, precoding matrixes of N ports, beam forming matrixes of N ports, mapping relation between the received signal IQ data of the first signal and the precoding vectors of the N ports, mapping relation between the received signal IQ data of the first signal and the beam forming vectors of the N ports, equivalent channel matrixes, mapping relation between the equivalent channel matrixes and the precoding vectors of the N ports, mapping relation between the equivalent channel matrixes and the beam forming vectors of the N ports and equivalent channel correlation matrix eigenvectors;

In the case that the second sensing node performs a second beam scanning operation on M ports, the first information includes at least one of: the method comprises the steps of parameter configuration information of a first signal, received signal IQ data of the first signal, precoding matrixes of M ports, beam forming matrixes of M ports, mapping relation between the received signal IQ data of the first signal and the precoding vectors of the M ports, mapping relation between the received signal IQ data of the first signal and the beam forming vectors of the M ports, equivalent channel matrixes, mapping relation between the equivalent channel matrixes and the precoding vectors of the M ports, mapping relation between the equivalent channel matrixes and the beam forming vectors of the M ports and equivalent channel correlation matrix eigenvectors;

the second beam scanning operation is used for receiving the first signal, and M and N are integers which are larger than 1.

Optionally, the second information satisfies at least one of:

in the case that the first sensing node performs a first beam scanning operation on N ports, the second information includes at least one of: parameter configuration information of a first signal, precoding matrixes of the N ports, beamforming matrixes of the N ports, mapping relation between precoding vectors of the N ports and received signal IQ data of the first signal, mapping relation between beamforming vectors of the N ports and the received signal IQ data of the first signal, the number of scanned beams, a beam scanning time interval and physical antenna information mapped when the N ports perform beam scanning;

In the case where the first sensing node transmits a first signal using at least one port and the second sensing node performs a second beam scanning operation on M ports, the second information includes at least one of: the method comprises the steps that parameter configuration information of a first signal is used for sending a precoding matrix of at least one port of the first signal by a first sensing node, a beam forming matrix of the at least one port of the first signal is used for sending the beam forming matrix of the at least one port of the first signal by the first sensing node, and physical antenna information mapped by the at least one port of the first signal is used for sending by the first sensing node;

the first beam scanning operation is used for sending the first signal, the second beam scanning operation is used for receiving the first signal, and N and M are integers larger than 1.

In this embodiment of the present application, first information exchanged between the first sensing node, the second sensing node, and the sensing function network element corresponding to the different scanning rules is different. This will be described in detail below.

For rule 1 above, the first sensing node may transmit the configured first signal on N ports based on beam scanning, and the second sensing node receives the first signal transmitted by the first sensing node using at least one port. The following cases exist based on the difference of the computing nodes:

1) If the second sensing node is a computing node of the first measurement result, the first sensing node and/or the first device sends at least one of the following information to the second sensing node: the method comprises the steps of configuring parameter information of a first signal, precoding/beam forming matrixes of N ports of a first sensing node, mapping relation between precoding/beam forming vectors of the N ports and IQ data of received signals of the first signal, the number of scanning beams, a beam scanning time interval and physical antenna information mapped when the N ports are used for carrying out beam scanning;

2) If the first sensing node is a computing node of the first measurement result, the second sensing node and/or the first device sends at least one of the following information to the first sensing node: parameter configuration information of the first signal, received signal IQ data of the first signal, a mapping relation between the received signal IQ data of the first signal and precoding/beamforming vectors of N ports, an equivalent channel matrix, a mapping relation between the equivalent channel matrix and the precoding/beamforming vectors of N ports, and an equivalent channel correlation matrix eigenvector;

3) If the first device is a computing node of the first measurement result, the first sensing node needs to send at least one item of information to the first device: the method comprises the steps of configuring parameter information of a first signal, precoding/beam forming matrixes of N ports of a first sensing node, mapping relation between precoding/beam forming vectors of the N ports and IQ data of received signals of the first signal, the number of scanning beams, a beam scanning time interval and physical antenna information required to be mapped when the N ports perform beam scanning;

The second aware node needs to send at least one of the following information to the first device: the method comprises the steps of parameter configuration information of a first signal, received signal IQ data of the first signal, a mapping relation between the received signal IQ data of the first signal and precoding/beamforming vectors of N ports, an equivalent channel matrix, a mapping relation between the equivalent channel matrix and the precoding/beamforming vectors of N ports, and an equivalent channel correlation matrix eigenvector.

For rule 2 above, the first sensing node may transmit the first signal using at least one port and the second sensing node receives the configured first signal on M ports based on beam scanning. The following cases exist based on the difference of the computing nodes:

1) If the second sensing node is a computing node of the first measurement result, the first sensing node and/or the first device sends at least one of the following information to the second sensing node: parameter configuration information of the first signal, a precoding/beamforming matrix of at least one port of the first sensing node, and physical antenna information mapped when the at least one port of the first sensing node performs beam scanning;

2) If the first sensing node is a computing node of the first measurement result, the second sensing node and/or the first device sends at least one of the following information to the first sensing node: the method comprises the steps of configuring parameter information of a first signal, receiving signal IQ data of the first signal, precoding/beamforming matrixes of M ports of a second sensing node, mapping relation between the receiving signal IQ data of the first signal and the precoding/beamforming vectors of the M ports, equivalent channel matrixes, mapping relation between the equivalent channel matrixes and the precoding/beamforming vectors of the M ports, and equivalent channel related matrix eigenvectors;

3) If the first device is a computing node of the first measurement result, the first sensing node sends at least one of the following information to the first device: parameter configuration information of the first signal, a precoding/beamforming matrix of at least one port of the first sensing node, and physical antenna information mapped when the at least one port of the first sensing node performs beam scanning;

the second aware node sends at least one of the following information to the first device: the method comprises the steps of configuring parameter information of a first signal, receiving signal IQ data of the first signal, precoding/beamforming matrixes of M ports of a second sensing node, mapping relation between the receiving signal IQ data of the first signal and the precoding/beamforming vectors of the M ports, equivalent channel matrixes, mapping relation between the equivalent channel matrixes and the precoding/beamforming vectors of the M ports, and equivalent channel related matrix eigenvectors.

For rule 3 above, the first sensing node may transmit configured first signals on N ports based on beam scanning and the second sensing node receives configured first signals on M ports based on beam scanning. The following cases exist based on the difference of the computing nodes:

3) If the first device is a computing node of the first measurement result, the first sensing node sends at least one of the following information to the first device: the method comprises the steps of configuring parameter information of a first signal, precoding/beam forming matrixes of N ports of a first sensing node, mapping relation between precoding/beam forming vectors of the N ports and IQ data of received signals of the first signal, the number of scanning beams, a beam scanning time interval and physical antenna information mapped when the N ports are used for carrying out beam scanning;

Optionally, in some embodiments, the perceptual condition comprises at least one of:

at least one measured value of the sensing measurement quantity obtained by calculating the single beam in the scanning beam set is higher than or equal to a first preset threshold in a first preset time period, or the times of being higher than the first preset threshold in the first preset time period are larger than the first preset times;

the method comprises the steps that at least one measured value of a sensing measurement quantity obtained by calculation of at least two beams in a scanning beam set is higher than or equal to a second preset threshold in a first preset time period, or the times of the measured value being higher than the second preset threshold in the first preset time period are larger than a second preset times, and the at least two beams comprise beams of at least two ports;

The measured value of at least one perception measured value obtained by calculation of a single wave beam in the scanning wave beam set is higher than or equal to the first measured value in a first preset time period, or the times of being higher than the first measured value in the first preset time period is larger than a third preset times;

the measured value of at least one perception measured value obtained by calculation of at least two beams in the scanning beam set is higher than or equal to the first measured value in a first preset time period, or the times of being higher than the first measured value in the first preset time period is larger than a fourth preset times;

the at least two beams comprise beams of at least two ports, and the first measured value is a measured value of a perceived measured quantity corresponding to a first historically determined beam set.

In this embodiment, the measured value of the sensing measurement quantity being higher than the first preset threshold may be understood that the measured value of the sensing measurement quantity is better than the first preset threshold, that is, the sensing performance on the corresponding beam is better, and the requirement of sensing precision can be met. The fact that the measured value of the sensing measurement quantity is higher than the first measured value can be understood that the measured value of the sensing measurement quantity is better than the first measured value, namely the sensing performance of the corresponding wave beam is better than the sensing performance of the historical wave beam, and the sensing precision and the sensing performance can be further improved.

Optionally, in some embodiments, before the first device determines the first measurement result based on the multi-port known beam measurement, the method further comprises:

under the condition that the first device receives the sensing request, first parameter configuration information, second parameter configuration information and third parameter configuration information are determined according to target sensing capability information of a sensing node, wherein the first parameter configuration information is used for multi-port sensing beam scanning, the second parameter configuration information is used for multi-port sensing beam measurement, and the third parameter configuration information is used for executing a sensing service.

Optionally, the perception request includes at least one of the following information:

perceived quality of service (Quality of Service, qoS) or perceived integrated QoS;

sensing a target type;

at least one physical range in which the perception target is located;

the physical range of the at least one sensing region;

historical prior information of at least one perceived target;

historical prior information for at least one sensing region;

sensing state information of the node.

In the embodiment of the present application, the perceived QoS or the integrated QoS may include at least one of the following: the method comprises the steps of sensing/passing integrated service type, sensing/passing integrated service priority, sensing detection probability, sensing false detection probability, sensing identification accuracy requirement, sensing resolution requirement, sensing error requirement, sensing delay budget, maximum sensing range requirement, continuous sensing capability requirement and sensing update frequency requirement. Optionally, communication QoS, such as communication delay budget, packet error rate, and the like, may be further included.

The perceived target types may include pedestrians, common vehicles such as large cars, motorcycles, bicycles, and the like.

The historical prior information of the perceived target may include historical state information of the perceived target including, for example, location, speed, orientation, radar cross-sectional area (Radar Cross Section, RCS), and the like.

The historical prior information of the sensing region may include historical environmental information of the sensing region including, for example, environmental wireless channel characteristics, traffic volume, building type, and building distribution density, among others.

The status information of the sensing node may include location information of the sensing node, orientation information of the sensing node antenna array (e.g., horizontal azimuth and vertical elevation of a panel normal), sensing node antenna array height information, sensing node motion status information (e.g., stationary, moving speed size direction), etc.

Optionally, the target perceptual capability information comprises multiport beamforming capability information and other perceptual capability information besides the multiport beamforming capability information;

wherein the multiport beamforming capability information includes at least one of: supporting a maximum number of ports for sensing; the beam forming type supported by each port; the quantization accuracy of the amplitude adjustment of each port beamforming; quantization accuracy of phase adjustment of each port beamforming; physical antenna information mapped with each port; minimum and/or average delay of switching of precoding weights of all ports; minimum and/or average delay of each port beamforming weight switch; minimum and/or average delay for each port precoding to take effect; minimum and/or average delays for each port beamforming to take effect; in the case that at least one port uses analog beamforming, the port corresponds to a 3dB beamwidth; in the case where at least one port uses analog beamforming, the port minimum beam scan angle interval; in the case that at least one port uses analog beamforming, the maximum number of beams is the ports; in the case where at least one port uses analog beamforming, the port beam scans a maximum angular range.

In this embodiment of the present application, when a certain sensing node is not a computing node, the sensing node needs to report target sensing capability information.

For example, in some embodiments, where the first device is a first aware node, the method further comprises:

the first device receives target sensing capability information of a second sensing node from the second sensing node;

the first sensing node is a transmitting node of a first signal for multi-port sensing beam measurement, and the second sensing node is a receiving node of the first signal.

For example, in some embodiments, where the first device is a second aware node, the method further comprises:

the first device receives target awareness capability information of a first awareness node from the first awareness node.

For example, in some embodiments, where the first device is a awareness functional network element, the method further comprises:

the first device receives target awareness capability information of a first awareness node from the first awareness node and receives target awareness capability information of a second awareness node from the second awareness node.

Optionally, the physical antenna information may include at least one of: the total number of antenna array elements (or total number of array elements in horizontal and vertical directions), array (linear array/area array) indication, antenna array element spacing (including horizontal array element spacing, vertical array element spacing), array element polarization (vertical polarization/horizontal polarization/±45° polarization/circular polarization), antenna array element 3D pattern, antenna sub-array (also referred to as Panel (Panel)) total number, panel array (linear array/area array) indication, panel spacing (including horizontal Panel spacing, vertical Panel spacing), antenna array aperture, steering vector/steering matrix of all array elements of the antenna array relative to a known reference point, panel array aperture, steering vector/steering matrix of all array elements of the antenna relative to a known reference point, steering vector/steering matrix of all array elements of any certain Panel relative to a known reference point.

Optionally, the other perceptibility information may include at least one of:

the maximum bandwidth of the perceived service is supported;

the available time-frequency domain resources of the first signal comprise time-frequency resource positions, resource frequency domain densities, frequency domain numbers, resource time domain length/number, density/period and the like;

The port first signal resources may be in an orthogonal manner (including time division multiplexing (Time Division Multiplexing, TDM), frequency division multiplexing (Frequency Division Multiplexing, FDM), doppler frequency division multiplexing (Doppler Division Multiplexing, DDM), code division multiplexing (Code Division Multiplexing, CDM), or a combination of at least 2 of the foregoing multiplexing schemes).

Alternatively, the reporting of the target perceptibility information may be periodic or triggered according to a perception request.

Optionally, the first parameter configuration information includes at least one of:

sensing the beam scanning number of at least two ports of the node;

sensing beam scanning angle intervals of at least two ports of the node;

sensing a beam scanning angle range of at least two ports of the node;

sensing at least one beam scanning angle of at least two ports of the node;

sensing a beam scanning time interval of at least two ports of the node;

beam scanning precoding vectors or beam scanning precoding matrices of at least two ports of the sensing node;

a beam scanning beamforming vector or a beam scanning beamforming matrix of at least two ports of the sensing node;

beam forming indexes of at least two ports of the sensing node;

Precoding codebook indexes of at least two ports of the sensing node;

sensing time domain configuration information of first signals of at least two ports of a node;

sensing frequency domain configuration information of first signals of at least two ports of a node;

indication information of beam scanning rules;

the orthogonal mode configuration information of the first signal;

at least one port of the sensing node is used for carrying out physical antenna indication information of beam scanning;

wherein the first signal is used for the first measurement, and the beam scanning rule comprises at least one of: only a first sensing node performs multiport sensing beam scanning, only a second sensing node performs multiport sensing beam scanning, and both the first sensing node and the second sensing node perform multiport sensing beam scanning, wherein the first sensing node is a transmitting node of a first signal, and the second sensing node is a receiving node of the first signal.

In this embodiment of the present application, the time domain configuration information may include time domain position (including a start position) information, time domain density information, and time domain length information. If the distribution is uniform, the information of the initial index, the number, the time domain length, the interval/density and the like of the corresponding Resource Element (RE), the Resource Block (RB), the first signal pulse (Burst) (consisting of 1 or more RE/RB), or the first signal Frame (Frame) (consisting of 1 or more bursts) should be included; if the distribution is non-uniform, all RE/RB/burst/frame index information should be included. The first signal resources of different time domain positions are in one-to-one correspondence with different beams during beam scanning according to a preset rule.

Alternatively, the frequency domain configuration information may include frequency domain location (including a start location) information, frequency domain density information, frequency domain width (bandwidth) information. If the information is uniformly distributed in a comb shape, the information such as the initial index, the interval and the like of the corresponding RE/RB is contained; if the distribution is non-uniform, all RE/RB index information and the like should be contained); the first signal resources at different frequency domain positions are in one-to-one correspondence with different beams during beam scanning according to a preset rule.

Optionally, for multi-port sensing beam scanning, the beam scanning order of each port may be the same or different on at least two ports of the first sensing node and/or the second sensing node, and each port beam scanning order may be indicated by the beam scanning rule, where the first signal resources of different time domain and/or frequency domain positions are in one-to-one correspondence with different beams during beam scanning according to a predetermined rule.

Alternatively, the orthogonal configuration information may include an orthogonal indication (the orthogonal includes TDM, FDM, DDM, CDM, and a combination of the above at least 2 multiplexing schemes (e.g., tdm+fdm, etc.)), parameter configuration information related to the first signals of the ports orthogonal to each other, such as a time-frequency pattern of the first signals of the ports, a type of orthogonal coding (the orthogonal coding may be Walsh codes, hadamard codes, barker codes, etc.), DDM initial phases, and phase modulation slopes, etc.

Optionally, the physical antenna indication information includes at least one of the following: antenna element ID, panel ID, position information of antenna element relative to a local reference point on the antenna array (Cartesian coordinates (x, y, z) or spherical coordinates can be used)Represented), the position information of the panel relative to a certain local reference point on the antenna array (Cartesian coordinates (x, y, z) or spherical coordinates +.>Representation), bitmap information of antenna elements (e.g.: the bitmap indicates that an element is selected for transmitting and/or receiving a first signal using a "1" and indicates that an element is not selected (or vice versa) using a "0", bitmap information for panel.

It should be noted that, the multi-port sensing beam scanning may be implemented by digital beam forming, or may be implemented by analog beam forming; each port beam scans a beamforming/precoding matrix, or a beamforming/precoding codebook index, and the corresponding scanned beam may be spatially discontinuous.

Optionally, the second parameter configuration information includes at least one of:

a perceived measurement quantity of at least one port for beam measurement;

port identification of at least two ports for beam measurement;

time domain configuration information of a first signal of at least two ports for beam measurement;

Frequency domain configuration information of a first signal of at least two ports for beam measurement;

physical antenna information of at least two ports for beam measurement;

in the case that the first signal is transmitted through at least two ports, configuring information of the orthogonal mode of the first signal of each port;

third indication information, the third indication information is used for indicating the perception condition;

and fourth indication information, wherein the fourth indication information is used for indicating a judgment condition of the failure of the sensing beam corresponding to the first beam set.

It should be understood that the above-mentioned sensing measurement may be obtained from one port, or may be calculated based on at least two ports. Wherein, the comprehensive calculation is to obtain one measurement value, and not obtain two measurement values respectively.

For the third indication information, decision information of the above-mentioned sensing condition may be included, for example, threshold information for determining at least one sensing measurement of the best sensing beam may be included.

For the fourth indication information, decision information for judging that the sensing beam fails may be included, for example, at least one sensing measurement quantity threshold information for judging that the sensing beam fails may be included.

Optionally, the perceptual measurement comprises at least one of:

a received strength (amplitude or power) or received signal strength indication (Received Signal Strength Indicator, RSSI) of a perceived target or perceived area reflected signal of at least two ports;

a reception quality indication of a signal reflected by a perception target or a perception region of at least two ports;

a received signal-to-noise ratio, SNR, or signal-to-interference plus noise ratio (SINR) of a perceived target or perceived region reflected signal of at least two ports;

received signal digital homodromous and quadrature (Inphase Quadrature, IQ) data of a first signal of the at least two ports;

an equivalent channel matrix of at least two ports;

based on the equivalent channel matrix of at least two ports, the obtained channel parameters;

equivalent channel correlation matrix of at least two ports;

based on the equivalent channel correlation matrix of at least two ports, calculating the obtained channel parameters;

a parameter estimation result obtained by calculation based on an equivalent channel matrix of at least two ports or a matrix of the received first signal;

the resulting radar spectrum is calculated based on an equivalent channel matrix of at least two ports or a matrix of received first signals.

Optionally, the above-mentioned equivalent matrix may be understood as an equivalent channel matrix formed by splicing ports of the sensing node after performing at least one precoding/beamforming, where the matrix includes the effect of at least one precoding/beamforming. The above-mentioned equivalent channel correlation matrix can be understood as a correlation matrix of an antenna port domain of the equivalent channel matrix.

Optionally, based on the equivalent channel matrix of at least two ports, the obtained channel parameters may include at least one of: coherence time, coherence bandwidth, doppler spread, delay spread, path loss, etc.

Optionally, based on the equivalent channel correlation matrix of at least two ports, the calculated channel parameters may include at least one of: rank of the equivalent channel matrix or the correlation matrix, eigenvalue of the singular value/correlation matrix of the equivalent channel matrix, eigenvector of the correlation matrix, condition number of the equivalent channel matrix, singular value/eigenvalue expansion of the equivalent channel matrix.

Optionally, the parameter estimation result includes at least one measurement value of the presence, quantity, speed, distance, angle, position coordinates of the sensing target, amplitude and/or phase of the sensing target reflected signal, doppler frequency of the sensing target reflected signal, RCS of the sensing target, quantity of the sensing target, or mean value and standard deviation/variance of multiple measurements.

Optionally, the radar spectrum includes a delay spectrum, a Doppler spectrum, an angle spectrum, and a combination spectrum of any two or three of the above, such as a delay-Doppler spectrum, an angle-Doppler spectrum, and the like.

Alternatively, the measurement quantity required by the multi-port sensing beam measurement may include the current sensing service sensing/passing sensing integrated measurement quantity, or may be one subset of the current sensing service sensing/passing sensing integrated measurement quantity.

Optionally, in some embodiments, the second parameter configuration information may further include a multiport aware beam measurement report configuration. The multi-port aware beam measurement report configuration may include reporting principles, for example, may be periodic reporting or event triggering principles; the measurement report format, such as reporting the measurement result/the maximum number of measurement types, the number of beams corresponding to the measurement result of each reporting measurement, and the like.

Optionally, the multi-port perceptual beam measurement report comprises at least the measurement result of the perceived measurement quantity required for the measurement.

Optionally, the second parameter configuration information may further include measurement event and related parameters (including measurement event definition, event related parameters, handover decision conditions, etc.), measurement IDs (i.e. measurement identities, each corresponding to a set of predefined multi-port sensing beam measurement amounts and measurement configuration information, and a measurement report configuration).

Optionally, in case the first device is a sensing node, the method further comprises:

the first device performs a perception service based on the first beam information.

In this embodiment of the present application, the first device may execute the sensing service based on the third parameter configuration information, and send the sensing result to the sensing requester. It should be noted that, the multiple sensing beams of a single port may be implemented by time division multiplexing, or frequency division multiplexing. The parameter configuration information of the second signal (the second signal is used for performing the sensing service) in the third parameter configuration information may be the same as or different from the parameter configuration information of the first signal in the first parameter configuration information and the second parameter configuration information in the beam measurement process. Wherein the parameter configuration information of the first signal may include time domain configuration information, frequency domain configuration information, orthogonal mode configuration information, etc., i.e. the parameter configuration information of the first signal may include at least part of the parameter configuration information in the first parameter configuration information and/or at least part of the parameter configuration information in the second parameter configuration information.

Optionally, in some embodiments, the method further comprises:

The first device obtains a second measurement result obtained by executing a sensing service based on the first beam information, wherein the second measurement result comprises a sensing measurement quantity;

the first device performs sensing beam detection according to the second measurement result;

the first device executes a first operation under the condition that the result of sensing beam detection meets the judgment condition of sensing beam failure;

wherein the first operation includes at least one of:

selecting at least one beam from the history scanning beams as a new perceived beam to replace the failed beam;

re-determining at least one of the first parameter configuration information and the second parameter configuration information in case there is no beam satisfying the sensing condition and/or no beam satisfying the sensing condition among the historically scanned beams;

re-performing port selection or re-performing mapping of ports to physical antennas or sub-arrays and re-determining at least one of the first parameter configuration information and the second parameter configuration information;

the first parameter configuration information is used for multi-port sensing beam scanning, the second parameter configuration information is used for multi-port sensing beam measurement, and the third parameter configuration information is used for executing sensing service.

In this embodiment of the present application, because the state of the sensing target/area or the environment where the sensing service is located is changed, if some or all of the beams in the original first beam set do not belong to the best sensing beam any more, the sensing beam needs to be recovered, and the first beam set is determined again based on the first operation. Therefore, according to the embodiment of the application, the perception performance can be further improved.

It should be appreciated that since at least one of the first parameter configuration information and the second parameter configuration information is re-determined, it is necessary to re-perform the perceived beam scanning based on the re-determined first parameter configuration information and second parameter configuration information to re-determine the first beam set.

Optionally, the beam used for sensing beam detection is at least one beam of at least one port in the first set of beams. For example, the first sensing node or the sensing function network element may perform sensing beam detection based on a measurement value of a sensing measurement quantity of the sensing traffic.

Optionally, the decision condition for the perceived beam failure includes:

the measured value of at least one sensing measurement in the first wave beam set is lower than a third preset threshold in a second preset time period, or the times of being lower than the third preset threshold in the second preset time period is larger than the third preset times.

For a better understanding of the present application, the following detailed description is provided by way of some examples.

In some embodiments, the perception processing method provided by the application can realize high-precision recognition and positioning of the perception target. As shown in fig. 3, assuming that the terminal transmits the first signal using a fixed beam, the base station performs beam scanning and beam measurement to identify and locate a certain vehicle. Wherein the identification requires the base station to identify the target vehicle from a plurality of closely spaced vehicles and the positioning can be achieved by angulating and ranging the target. The sensing function network element initially determines the approximate range of beam scanning based on the historical prior information of the sensing target in the sensing request, such as the historical position information of the sensing target or the approximate area where the sensing target is located. The sensing function network element thus determines parameter configuration information of beam scanning and beam measurement, instructs the base station to perform beam scanning and measurement by using 6 ports (B1-B6) as shown in fig. 3 (in this example, it is assumed that each port maps 8 physical antenna elements, including different polarized antennas), and explicitly and/or implicitly indicates information such as the number of beams scanned by each port, precoding/beamforming vectors used by each beam scanning, and the like, and indicates a sensing measurement quantity to be measured in the beam measurement process of each port. The base station obtains the best set of perceived beams for the 6 ports of fig. 3 based on multi-port perceived beam scanning and measurement. Wherein the best perceived beam set for different ports may be different, for example port B1 and port B2 in fig. 3.

In some embodiments, trajectory tracking may be implemented based on the perception processing method provided herein. When the perceived target volume is small, high-precision trajectory perception of the target is necessary. Fig. 4 shows a schematic diagram of a base station and a terminal for tracking a target of an unmanned aerial vehicle. The base station is assumed to send a first signal, the terminal receives and feeds back a sensing result, or the terminal feeds back a measurement quantity, and the sensing result is calculated by the base station or the first device. In the beam management process, the base station and the terminal both perform beam scanning. If the beam measurement is performed at the terminal, the base station or needs to inform the terminal of its own parameter configuration information, including parameter configuration information of the first signal, precoding/beamforming matrixes of 6 ports (B1-B6) of the base station shown in fig. 4, mapping relation between precoding/beamforming vectors of 6 ports and IQ data of the first signal reception signal, the number of scanned beams, and physical antenna information mapped when the 6 ports perform beam scanning.

It should be noted that the first signal type for beam scanning and beam measurement, and their parameter configuration information, may be different from the first signal type and parameter configuration information used for the perceived service. In the beam scanning and beam measurement process, prior information of the general area of the unmanned aerial vehicle may not be obtained, and from the viewpoint of saving the overhead of sensing resources, beam scanning may be performed based on the SSB and/or CSI-RS signals of NR. And after the optimal sensing beam set is obtained, performing high-precision sensing by using the optimal sensing beam set based on other first signals. The other first signals may occupy more resources in the time-frequency domain. The beam scanning and beam measurement can also be different from the antenna ports used for the sensing service, for example, the beam scanning and beam measurement base station side only uses B2, B3, B5 and B6, and the sensing service process can use B1-B6 ports because the array type and array element layout of the physical antenna subarray mapped by the B1 and B4 ports are consistent with those of B2 and B5, wherein the B1 and B4 ports multiplex the precoding/beamforming matrixes of the B2 and B5 ports.

It should be noted that when the position of the unmanned aerial vehicle is moved greatly (for example, from position 1 to position 4 in the figure), a possible part of beams in the original best perceived beam set do not meet the condition as the best perceived beam, and beam recovery is required.

In some embodiments, the perception processing method provided based on the application can be used for perceived area environment reconstruction/object imaging. The embodiment of the application completes the sensing service based on the multiport sensing beam management process. The method is suitable for scenes with larger sensing area range and less possibility of changing the state of the sensing area in a short time, such as three-dimensional reconstruction of environment and imaging of objects. It should be noted that the number of base stations, terminals involved in the awareness may be more than one. When the sensing service is performed, the base station can send a first signal in beam scanning, and the terminal receives the first signal; the terminal may transmit the first signal during beam scanning, and the base station may receive the first signal. In the sensing request, a sensing result calculation node (for example, a sensing function network element) needs to acquire information such as a position of a base station, a terminal, an antenna panel orientation, and the like. Based on multi-port beam measurement, the sensing function network element can obtain information such as an exit angle (comprising an exit azimuth angle and an exit pitch angle), an arrival angle (comprising an arrival azimuth angle and an arrival pitch angle), a time delay, a complex amplitude and the like of the environment reflection paths of each base station or terminal side, and further obtain an environment reconstruction/object imaging result. It should be noted that, the computing node may also be a certain base station participating in sensing, and specific interaction information is not described herein again with reference to the above embodiment according to the difference of the computing nodes.

In some embodiments, the perception processing method provided based on the application can be used for realizing perception auxiliary communication. For example, if the perceived measurement quantity of the beam measurement includes a measurement quantity related to communication, such as the first signal received power, the best communication beam pair of the base station and the terminal can be obtained at the same time. Based on the multi-port known beam management, the primary reflector in the environment can be located. The information of the reflection paths of the sensing targets relative to the departure angles (including departure azimuth angles and departure pitch angles), arrival angles (including arrival azimuth angles and arrival pitch angles), time delay, complex amplitude and the like of the base station and the terminal in the same area and working in the sub 6GHz frequency band can be obtained by combining the position information of the base station and the terminal, and the information can be used for assisting the base station and the terminal in channel estimation and channel prediction. If the perception target is also a terminal for communication, the positioning result can be sent to the base station side for communication with the terminal to assist the terminal to carry out communication beam management, and the optimal communication beam alignment and updating are realized by using lower resource overhead compared with the traditional beam management.

Referring to fig. 5, an embodiment of the present application further provides a sensing processing method, as shown in fig. 5, where the sensing processing method includes:

Step 501, the target sensing node receives first beam information from a computing node, wherein the first beam information comprises beam information of at least part of beams in a first beam set determined by the computing node based on a first measurement result of multi-port sensing beam measurement;

step 502, the target sensing node executes sensing service based on the first beam information;

Optionally, the first beam information satisfies at least one of:

Optionally, in the case that the target sensing node is the first sensing node, the method further comprises any one of:

the target sensing node performs first beam scanning operation on N ports, wherein the first beam scanning operation is used for sending the first signal, and N is an integer greater than 1;

the target awareness node sends the first signal using at least one port.

Optionally, before the target awareness node receives the first beam information from the computing node, the method comprises:

the target awareness node sends second information to a computing node, wherein the second information is used for determining the first measurement result.

Optionally, the second information satisfies at least one of:

The first beam scanning operation is used for sending the first signal, and N is an integer greater than 1.

Optionally, in the case that the target sensing node is a second sensing node, the method further comprises any one of:

the target sensing node performs a second beam scanning operation on M ports, wherein the second beam scanning operation is used for receiving the first signal, and M is an integer greater than 1;

the target awareness node receives the first signal using at least one port.

the target awareness node sends first information to a computing node, wherein the first information is used for determining the first measurement result.

Optionally, the first information satisfies at least one of:

the second beam scanning operation is used for receiving a first signal, and M is an integer greater than 1.

Optionally, the method further comprises:

the target sensing node sends target sensing capability information of the target sensing node to the computing node, wherein the target sensing capability information is used for determining first parameter configuration information, second parameter configuration information and third parameter configuration information, the first parameter configuration information is used for multi-port sensing beam scanning, the second parameter configuration information is used for multi-port sensing beam measurement, and the third parameter configuration information is used for executing a sense-through service.

sensing the beam scanning number of at least two ports of the node;

sensing beam scanning angle intervals of at least two ports of the node;

sensing a beam scanning angle range of at least two ports of the node;

sensing at least one beam scanning angle of at least two ports of the node;

sensing a beam scanning time interval of at least two ports of the node;

beam forming indexes of at least two ports of the sensing node;

precoding codebook indexes of at least two ports of the sensing node;

indication information of beam scanning rules;

the orthogonal mode configuration information of the first signal;

a perceived measurement quantity of at least one port for beam measurement;

port identification of at least two ports for beam measurement;

physical antenna information of at least two ports for beam measurement;

Optionally, the method further comprises:

the target sensing node obtains a second measurement result obtained by executing sensing service based on the first beam information, wherein the second measurement result comprises a sensing measurement quantity;

the target sensing node performs sensing beam detection according to the second measurement result;

the target sensing node executes a first operation under the condition that a sensing beam detection result meets a judgment condition of sensing beam failure;

Wherein the first operation includes at least one of:

the first parameter configuration information is used for multi-port sensing beam scanning, and the second parameter configuration information is used for multi-port sensing beam measurement.

Optionally, the decision condition for the perceived beam failure includes:

According to the perception processing method provided by the embodiment of the application, the execution main body can be a perception processing device. In the embodiment of the present application, a sensing processing device executes a sensing processing method as an example, and the sensing processing device provided in the embodiment of the present application is described.

Referring to fig. 6, an embodiment of the present application further provides a sensing processing apparatus, applied to a first device, as shown in fig. 6, where the sensing processing apparatus 600 includes:

a first determining module 601, configured to determine a first measurement result based on multi-port sensor beam measurement;

a second determining module 602 is configured to determine a first beam set based on the first measurement result, where the first beam set includes at least one beam that satisfies a perception condition.

Optionally, the perception processing apparatus 600 further includes:

a first sending module, configured to send first beam information to a second device, where the first beam information includes beam information of at least some beams in the first beam set;

Optionally, the first beam information satisfies at least one of:

Optionally, in case the first device is a first sensing node, the sensing processing apparatus 600 further includes a first execution module configured to execute any one of the following:

performing a first beam scanning operation on N ports, the first beam scanning operation being for transmitting a first signal, N being an integer greater than 1;

transmitting the first signal using at least one port;

wherein the first signal is used for the multi-port sensor beam measurement.

Optionally, the first determining module 601 includes:

a receiving unit, configured to receive first information from a network element with a sensing function or a second sensing node;

and the determining unit is used for determining the first measurement result according to the first information.

Optionally, in the case that the first device is a second sensing node, the sensing processing apparatus 600 further includes a first execution module configured to execute any one of the following:

performing a second beam scanning operation on M ports, the second beam scanning operation being for receiving the first signal, M being an integer greater than 1;

receiving the first signal using at least one port;

wherein the first signal is used for the multi-port sensor beam measurement.

Optionally, the first determining module 601 includes:

the receiving unit is used for receiving second information from a sensing function network element or a first sensing node, and the first sensing node is a transmitting node of the first signal;

and the determining unit is used for determining the first measurement result according to the second information.

Optionally, in case the first device is a network element with a awareness function, the first determining module 601 includes:

a receiving unit for receiving the second information from the first sensing node and the first information from the second sensing node;

a determining unit configured to determine the first measurement result according to the first information and the second information;

Optionally, the second information satisfies at least one of:

Optionally, the first information satisfies at least one of:

Optionally, the perceptual condition comprises at least one of:

Optionally, the first determining module 601 is further configured to determine, when a sensing request is received, first parameter configuration information, second parameter configuration information and third parameter configuration information according to target sensing capability information of a sensing node, where the first parameter configuration information is used for multi-port sensing beam scanning, the second parameter configuration information is used for multi-port sensing beam measurement, and the third parameter configuration information is used for performing a sense-through service.

perceived quality of service QoS or generic QoS;

sensing a target type;

at least one physical range in which the perception target is located;

the physical range of the at least one sensing region;

historical prior information of at least one perceived target;

historical prior information for at least one sensing region;

sensing state information of the node.

sensing the beam scanning number of at least two ports of the node;

sensing beam scanning angle intervals of at least two ports of the node;

sensing a beam scanning angle range of at least two ports of the node;

sensing at least one beam scanning angle of at least two ports of the node;

sensing a beam scanning time interval of at least two ports of the node;

beam forming indexes of at least two ports of the sensing node;

precoding codebook indexes of at least two ports of the sensing node;

indication information of beam scanning rules;

the orthogonal mode configuration information of the first signal;

a perceived measurement quantity of at least one port for beam measurement;

port identification of at least two ports for beam measurement;

physical antenna information of at least two ports for beam measurement;

Optionally, the perceptual measurement comprises at least one of:

a received strength or received signal strength indication of a perceived target or perceived area reflected signal of at least two ports;

a received signal-to-noise ratio, SNR, or signal-to-interference-plus-noise ratio, SINR, of the perceived target or perceived region reflected signal of the at least two ports;

The received signal digital homodromous and quadrature IQ data of the first signal of the at least two ports;

an equivalent channel matrix of at least two ports;

equivalent channel correlation matrix of at least two ports;

Optionally, in the case that the first device is a first sensing node, the sensing processing apparatus 600 further includes:

the first receiving module is used for receiving target perception capability information of a second perception node from the second perception node;

Optionally, in the case that the first device is a sensing node, the sensing processing apparatus 600 further includes:

And the first execution module is used for executing the perception service based on the first beam information.

Optionally, the perception processing apparatus 600 further includes:

a first acquisition module, configured to acquire a second measurement result obtained by performing a sensing service based on the first beam information, where the second measurement result includes a sensing measurement quantity;

the first detection module is used for detecting the sensing beam according to the second measurement result;

the first execution module is used for executing a first operation under the condition that the result of sensing the beam detection meets the judgment condition of sensing the beam failure;

wherein the first operation includes at least one of:

Referring to fig. 7, the embodiment of the present application further provides a sensing processing device, which is applied to a target sensing node, as shown in fig. 7, the sensing processing device 700 includes:

a second receiving module 701, configured to receive first beam information from a computing node, where the first beam information includes beam information of at least some beams in a first beam set determined by the computing node based on a first measurement result of multi-port perceptual beam measurement;

a second executing module 702, configured to execute a sensing service based on the first beam information;

Optionally, the first beam information satisfies at least one of:

Optionally, in the case that the target sensing node is the first sensing node, the second execution module 702 is further configured to execute any one of the following:

performing a first beam scanning operation on N ports, where the first beam scanning operation is used to send the first signal, and N is an integer greater than 1;

The first signal is transmitted using at least one port.

Optionally, the perception processing apparatus 700 further includes:

and the second sending module is used for sending second information to the computing node, wherein the second information is used for determining the first measurement result.

Optionally, the second information satisfies at least one of:

Optionally, in the case that the target sensing node is a second sensing node, the second execution module 702 is further configured to execute any one of the following:

the first signal is received using at least one port.

Optionally, the perception processing apparatus 700 further includes:

and the second sending module is used for sending first information to the computing node, wherein the first information is used for determining the first measurement result.

Optionally, the first information satisfies at least one of:

Optionally, the perception processing apparatus 700 further includes:

the second sending module is configured to send, to the computing node, target sensing capability information of the target sensing node, where the target sensing capability information is used to determine first parameter configuration information, second parameter configuration information, and third parameter configuration information, where the first parameter configuration information is used for multi-port sensing beam scanning, the second parameter configuration information is used for multi-port sensing beam measurement, and the third parameter configuration information is used to execute a sense-of-talk service.

sensing the beam scanning number of at least two ports of the node;

sensing beam scanning angle intervals of at least two ports of the node;

sensing a beam scanning angle range of at least two ports of the node;

sensing at least one beam scanning angle of at least two ports of the node;

sensing a beam scanning time interval of at least two ports of the node;

beam forming indexes of at least two ports of the sensing node;

precoding codebook indexes of at least two ports of the sensing node;

indication information of beam scanning rules;

the orthogonal mode configuration information of the first signal;

a perceived measurement quantity of at least one port for beam measurement;

port identification of at least two ports for beam measurement;

physical antenna information of at least two ports for beam measurement;

Optionally, the perception processing apparatus 700 further includes:

a second acquisition module, configured to acquire a second measurement result obtained by performing a sensing service based on the first beam information, where the second measurement result includes a sensing measurement quantity;

the second detection module is used for detecting the sensing beam according to the second measurement result;

the second execution module is further configured to execute a first operation when the result of sensing beam detection meets a decision condition of sensing beam failure;

Wherein the first operation includes at least one of:

Optionally, the decision condition for the perceived beam failure includes:

The sensing processing device in the embodiment of the present application may be an electronic device, for example, an electronic device with an operating system, or may be a component in an electronic device, for example, an integrated circuit or a chip. The electronic device may be a terminal, or may be other devices than a terminal. By way of example, terminals may include, but are not limited to, the types of terminals 11 listed above, other devices may be servers, network attached storage (Network Attached Storage, NAS), etc., and embodiments of the application are not specifically limited.

The sensing processing device provided in the embodiment of the present application can implement each process implemented by the embodiments of the methods of fig. 2 to 5, and achieve the same technical effects, so that repetition is avoided, and no further description is provided herein.

Optionally, as shown in fig. 8, the embodiment of the present application further provides a communication device 800, including a processor 801 and a memory 802, where a program or an instruction capable of running on the processor 801 is stored in the memory 802, and the program or the instruction implements each step of the above embodiment of the sensing processing method when being executed by the processor 801, and the steps can achieve the same technical effect, so that repetition is avoided, and no further description is given here.

The embodiment of the application also provides a terminal, which comprises a processor and a communication interface, wherein the processor is used for determining a first measurement result based on multi-port sensing beam measurement under the condition that the terminal is first equipment; determining a first set of beams based on the first measurement, the first set of beams comprising at least one beam that satisfies a perception condition;

The terminal embodiment corresponds to the terminal-side method embodiment, and each implementation process and implementation manner of the method embodiment can be applied to the terminal embodiment, and the same technical effects can be achieved. Specifically, fig. 9 is a schematic hardware structure of a terminal for implementing an embodiment of the present application.

The terminal 900 includes, but is not limited to: at least some of the components of the radio frequency unit 901, the network module 902, the audio output unit 903, the input unit 904, the sensor 905, the display unit 906, the user input unit 907, the interface unit 908, the memory 909, and the processor 910, etc.

Those skilled in the art will appreciate that the terminal 900 may further include a power source (e.g., a battery) for powering the various components, and the power source may be logically coupled to the processor 910 by a power management system so as to perform functions such as managing charging, discharging, and power consumption by the power management system. The terminal structure shown in fig. 9 does not constitute a limitation of the terminal, and the terminal may include more or less components than shown, or may combine some components, or may be arranged in different components, which will not be described in detail herein.

It should be appreciated that in embodiments of the present application, the input unit 904 may include a graphics processing unit (Graphics Processing Unit, GPU) 9041 and a microphone 9042, with the graphics processor 9041 processing image data of still pictures or video obtained by an image capture device (e.g., a camera) in a video capture mode or an image capture mode. The display unit 906 may include a display panel 9061, and the display panel 9061 may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like. The user input unit 907 includes at least one of a touch panel 9071 and other input devices 9072. Touch panel 9071, also referred to as a touch screen. The touch panel 9071 may include two parts, a touch detection device and a touch controller. Other input devices 9072 may include, but are not limited to, a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and so forth, which are not described in detail herein.

In this embodiment, after receiving downlink data from a network side device, the radio frequency unit 901 may transmit the downlink data to the processor 910 for processing; in addition, the radio frequency unit 901 may send uplink data to the network side device. Typically, the radio frequency unit 901 includes, but is not limited to, an antenna, an amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like.

The memory 909 may be used to store software programs or instructions as well as various data. The memory 909 may mainly include a first storage area storing programs or instructions and a second storage area storing data, wherein the first storage area may store an operating system, application programs or instructions (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like. Further, the memory 909 may include a volatile memory or a nonvolatile memory, or the memory 909 may include both volatile and nonvolatile memories. The nonvolatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable EPROM (EEPROM), or a flash Memory. The volatile memory may be random access memory (Random Access Memory, RAM), static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (ddr SDRAM), enhanced SDRAM (Enhanced SDRAM), synchronous DRAM (SLDRAM), and Direct RAM (DRRAM). Memory 909 in embodiments of the present application includes, but is not limited to, these and any other suitable types of memory.

Processor 910 may include one or more processing units; optionally, the processor 910 integrates an application processor that primarily processes operations involving an operating system, user interface, application programs, etc., and a modem processor that primarily processes wireless communication signals, such as a baseband processor. It will be appreciated that the modem processor described above may not be integrated into the processor 910.

Wherein the processor 910 determines a first measurement result based on the multi-port sensor beam measurement; a first set of beams is determined based on the first measurement, the first set of beams including at least one beam that satisfies a perception condition.

The method comprises the steps of determining a first measurement result based on multi-port sensing beam measurement, and determining a first beam set based on the first measurement result, wherein the first beam set comprises at least one beam meeting a sensing condition. As the sensing measurement is performed on a plurality of ports, the number of ports for beam management is increased, and thus, the array aperture is fully utilized to realize high-precision/super-resolution sensing. Therefore, the embodiment of the application improves the sensing precision, improves the sensing SNR and solves the problem of limited high-frequency sensing coverage range.

The embodiment of the application also provides a network side device, which comprises a processor and a communication interface, wherein the processor is used for determining a first measurement result based on multi-port sensing beam measurement when the network side device is a first device; determining a first set of beams based on the first measurement, the first set of beams comprising at least one beam that satisfies a perception condition;

The network side device embodiment corresponds to the network side device method embodiment, and each implementation process and implementation manner of the method embodiment can be applied to the network side device embodiment, and the same technical effects can be achieved.

Specifically, the embodiment of the application also provides network side equipment. As shown in fig. 10, the network side device 1000 includes: an antenna 1001, a radio frequency device 1002, a baseband device 1003, a processor 1004, and a memory 1005. The antenna 1001 is connected to a radio frequency device 1002. In the uplink direction, the radio frequency device 1002 receives information via the antenna 1001, and transmits the received information to the baseband device 1003 for processing. In the downlink direction, the baseband device 1003 processes information to be transmitted, and transmits the processed information to the radio frequency device 1002, and the radio frequency device 1002 processes the received information and transmits the processed information through the antenna 1001.

The method performed by the network side device in the above embodiment may be implemented in a baseband apparatus 1003, where the baseband apparatus 1003 includes a baseband processor.

The baseband apparatus 1003 may, for example, include at least one baseband board, where a plurality of chips are disposed on the baseband board, as shown in fig. 10, where one chip, for example, a baseband processor, is connected to the memory 1005 through a bus interface, so as to call a program in the memory 1005 to perform the network device operation shown in the above method embodiment.

The network side device may also include a network interface 1006, such as a common public radio interface (common public radio interface, CPRI).

Specifically, the network side device 1000 of the embodiment of the present invention further includes: instructions or programs stored in the memory 1005 and executable on the processor 1004, the processor 1004 invokes the instructions or programs in the memory 1005 to perform the methods performed by the modules shown in fig. 6 or fig. 7, and achieve the same technical effects, and are not repeated here.

Specifically, the embodiment of the application also provides network side equipment. As shown in fig. 11, the network side device 1100 includes: a processor 1101, a network interface 1102, and a memory 1103. The network interface 1102 is, for example, a common public radio interface (common public radio interface, CPRI).

Specifically, the network side device 1100 of the embodiment of the present invention further includes: instructions or programs stored in the memory 1103 and capable of being executed on the processor 1101, the processor 1101 calls the instructions or programs in the memory 1103 to execute the method 6 or the method executed by each module shown in fig. 7, and achieve the same technical effects, so that repetition is avoided, and therefore, the description is omitted herein.

The embodiment of the present application further provides a readable storage medium, where a program or an instruction is stored on the readable storage medium, and when the program or the instruction is executed by a processor, the processes of the foregoing embodiment of the sensing processing method are implemented, and the same technical effects can be achieved, so that repetition is avoided, and no further description is given here.

Wherein the processor is a processor in the terminal described in the above embodiment. The readable storage medium includes computer readable storage medium such as computer readable memory ROM, random access memory RAM, magnetic or optical disk, etc.

The embodiment of the application further provides a chip, the chip includes a processor and a communication interface, the communication interface is coupled with the processor, and the processor is used for running a program or an instruction, so as to implement each process of the above embodiment of the sensing processing method, and achieve the same technical effect, so that repetition is avoided, and no redundant description is provided here.

It should be understood that the chips referred to in the embodiments of the present application may also be referred to as system-on-chip chips, or the like.

The embodiments of the present application further provide a computer program/program product, where the computer program/program product is stored in a storage medium, and the computer program/program product is executed by at least one processor to implement each process of the above-mentioned embodiment of the perception processing method, and the same technical effects can be achieved, so that repetition is avoided, and details are not repeated here.

The embodiment of the application also provides a communication system, which comprises: the terminal is configured to execute each process of each method embodiment of the terminal side in fig. 2 to 5, and the network side device is configured to execute each process of each method embodiment of the network side in fig. 2 to 5, so that the same technical effects can be achieved, and for avoiding repetition, a detailed description is omitted herein.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element. Furthermore, it should be noted that the scope of the methods and apparatus in the embodiments of the present application is not limited to performing the functions in the order shown or discussed, but may also include performing the functions in a substantially simultaneous manner or in an opposite order depending on the functions involved, e.g., the described methods may be performed in an order different from that described, and various steps may also be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solutions of the present application may be embodied essentially or in a part contributing to the prior art in the form of a computer software product stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk), comprising several instructions for causing a terminal (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method described in the embodiments of the present application.

The embodiments of the present application have been described above with reference to the accompanying drawings, but the present application is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those of ordinary skill in the art without departing from the spirit of the present application and the scope of the claims, which are also within the protection of the present application.

Claims

1. A perception processing method, comprising:

2. The method according to claim 1, wherein the method further comprises:

3. The method of claim 2, wherein the first beam information satisfies at least one of:

4. The method of claim 1, wherein in the case where the first device is a first aware node, the method further comprises any one of:

the first device transmitting the first signal using at least one port;

wherein the first signal is used for the multi-port sensor beam measurement.

5. The method of claim 4, wherein the first device determining a first measurement of the multi-port known beam measurement comprises:

6. The method of claim 1, wherein in the case where the first device is a second aware node, the method further comprises any one of:

The first device receives the first signal using at least one port;

wherein the first signal is used for the multi-port sensor beam measurement.

7. The method of claim 6, wherein the first device determining a first measurement based on a multi-port known beam measurement comprises:

8. The method of claim 1, wherein, in the case where the first device is a awareness functional network element, the first device determining a first measurement result of the first measurement comprises:

9. The method according to claim 7 or 8, wherein the second information satisfies at least one of:

10. The method according to claim 5 or 8, wherein the first information satisfies at least one of:

11. The method of claim 1, wherein the perceptual condition comprises at least one of:

12. The method of any of claims 1-11, wherein prior to the first device determining a first measurement result based on multi-port sensor beam measurement, the method further comprises:

Under the condition that the first device receives the sensing request, determining first parameter configuration information, second parameter configuration information and third parameter configuration information according to target sensing capability information of a sensing node, wherein the first parameter configuration information is used for multi-port sensing beam scanning, the second parameter configuration information is used for multi-port sensing beam measurement, and the third parameter configuration information is used for executing a sense-on service.

13. The method of claim 12, wherein the perception request includes at least one of the following information:

perceived quality of service QoS or generic QoS;

sensing a target type;

at least one physical range in which the perception target is located;

the physical range of the at least one sensing region;

historical prior information of at least one perceived target;

historical prior information for at least one sensing region;

sensing state information of the node.

14. The method of claim 12, wherein the target perceptual capability information comprises multiport beamforming capability information and other perceptual capability information in addition to the multiport beamforming capability information;

15. The method of claim 12, wherein the first parameter configuration information comprises at least one of:

sensing the beam scanning number of at least two ports of the node;

sensing beam scanning angle intervals of at least two ports of the node;

sensing a beam scanning angle range of at least two ports of the node;

sensing at least one beam scanning angle of at least two ports of the node;

sensing a beam scanning time interval of at least two ports of the node;

beam forming indexes of at least two ports of the sensing node;

precoding codebook indexes of at least two ports of the sensing node;

indication information of beam scanning rules;

the orthogonal mode configuration information of the first signal;

16. The method of claim 12, wherein the second parameter configuration information comprises at least one of:

a perceived measurement quantity of at least one port for beam measurement;

port identification of at least two ports for beam measurement;

physical antenna information of at least two ports for beam measurement;

17. The method of claim 16, wherein the perceived measurement comprises at least one of:

an equivalent channel matrix of at least two ports;

equivalent channel correlation matrix of at least two ports;

18. The method of claim 12, wherein, in the case where the first device is a first aware node, the method further comprises:

19. The method of claim 2, wherein in the case where the first device is a sensing node, the method further comprises:

20. The method according to claim 2, wherein the method further comprises:

Wherein the first operation includes at least one of:

21. The method of claim 20, wherein the decision condition for perceived beam failure comprises:

22. A perception processing method, comprising:

23. The method of claim 22, wherein the first beam information satisfies at least one of:

24. The method according to claim 22, wherein in case the target sensing node is a first sensing node, the method further comprises any one of:

the target awareness node sends the first signal using at least one port.

25. The method of claim 24, wherein prior to the target awareness node receiving the first beam information from the computing node, the method comprises:

26. The method of claim 25, wherein the second information satisfies at least one of:

27. The method according to claim 22, wherein in case the target sensing node is a second sensing node, the method further comprises any one of:

the target awareness node receives the first signal using at least one port.

28. The method of claim 27, wherein prior to the target awareness node receiving the first beam information from the computing node, the method comprises:

29. The method of claim 28, wherein the first information satisfies at least one of:

30. The method of claim 22, wherein the method further comprises:

31. The method of claim 30, wherein the target perceptual capability information comprises multiport beamforming capability information and other perceptual capability information in addition to the multiport beamforming capability information;

32. The method of claim 30, wherein the first parameter configuration information comprises at least one of:

sensing the beam scanning number of at least two ports of the node;

sensing beam scanning angle intervals of at least two ports of the node;

sensing a beam scanning angle range of at least two ports of the node;

sensing at least one beam scanning angle of at least two ports of the node;

sensing a beam scanning time interval of at least two ports of the node;

beam forming indexes of at least two ports of the sensing node;

precoding codebook indexes of at least two ports of the sensing node;

indication information of beam scanning rules;

the orthogonal mode configuration information of the first signal;

33. The method of claim 30, wherein the second parameter configuration information comprises at least one of:

a perceived measurement quantity of at least one port for beam measurement;

port identification of at least two ports for beam measurement;

physical antenna information of at least two ports for beam measurement;

34. The method of claim 22, wherein the method further comprises:

wherein the first operation includes at least one of:

35. The method of claim 34, wherein the decision condition for perceived beam failure comprises:

36. A perception processing apparatus, comprising:

37. A perception processing apparatus applied to a target perception node, comprising:

38. A terminal comprising a processor and a memory storing a program or instructions executable on the processor, which when executed by the processor, implement the steps of the perception processing method as claimed in any one of claims 1 to 35.

39. A network side device comprising a processor and a memory storing a program or instructions executable on the processor, which when executed by the processor, implement the steps of the awareness processing method of any of claims 1 to 35.

40. A readable storage medium, wherein a program or instructions is stored on the readable storage medium, which when executed by a processor, implements the steps of the perception processing method as claimed in any one of claims 1 to 35.