CN114079866B

CN114079866B - Signal transmission method, equipment and device

Info

Publication number: CN114079866B
Application number: CN202010795639.9A
Authority: CN
Inventors: 龚秋莎; 苏昕; 常国兵; 王蒙军; 毕海
Original assignee: Datang Mobile Communications Equipment Co Ltd
Current assignee: Datang Mobile Communications Equipment Co Ltd
Priority date: 2020-08-10
Filing date: 2020-08-10
Publication date: 2022-12-23
Anticipated expiration: 2040-08-10
Also published as: CN114079866A; WO2022033347A1

Abstract

The invention provides a signal transmission method, a device and a device, wherein the method comprises the following steps: determining the measurement values of the current time and the previous time of the terminal in a three-dimensional cell environment, wherein the three-dimensional cell environment is a three-dimensional model constructed based on a detection perception mode; predicting a predicted value of the position at the next moment according to the measured value through a prediction function, and acquiring a wave beam/scheduling information/modulation and coding strategy MCS determined to be adopted according to the three-dimensional cell environment model and the predicted value of the position; and performing signal transmission after performing beam forming/scheduling information scheduling/MCS modulation by using the beam. The method provided by the invention can realize the fast beam tracking of narrow beams or more accurately schedule UE (user equipment) in a mobile scene, and ensure low delay and high-reliability transmission of services.

Description

Signal transmission method, equipment and device

Technical Field

The present invention relates to the field of communications technologies, and in particular, to a signal transmission method, device, and apparatus.

Background

The current 5G NR (New Radio, new air interface) system supports millimeter wave frequency band communication, and a base station/terminal often needs to form a narrow beam by using a beamforming technology and intensively radiate in a smaller spatial region, so that the energy efficiency on a Radio frequency transmission link is higher, and the transmission power loss of the base station/terminal is reduced; in an IMT (International Mobile telecommunications System) -2030 System, communication in a terahertz frequency band (0.1 to 10 THz) is supported, and a base station/terminal uses a higher-gain antenna and a pencil-shaped ultra-narrow beam formed by integrating a greater number of antennas and using a beam forming technology to overcome high path loss of the terahertz frequency band, so as to improve the coverage area of a cell. The method has three application scenes of enhancing mobile broadband, massive large connection, low time delay and high reliability, and is future mobile communication. Therefore, how to obtain accurate channel information, implement fast beam tracking of narrow beams in a mobile scene, and ensure low delay and high reliability transmission of services is a key technical problem to be solved.

Common beam tracking techniques in the prior art include:

(1) The Direction Of the beam required by the beamformer is obtained by using a DOA (Direction Of Arrival) estimation technique. Assuming that the observation point is far away from the antenna element, the angles of the two trains of waves reaching the observation point can be considered to be the same, and the phase difference of the two trains of waves changes along with the change of the observation angle. And estimating the DOA through the uplink signal by utilizing the reciprocity of the channel and calculating a downlink beamforming vector by using the DOA.

(2) Estimating CSI (channel State Information) according to a reference signal, obtaining Precoding Matrix Indicator (PMI) of beamforming, and tracking channel change by updating Precoding weights.

(3) For analog domain beamforming, the optimal beam direction is determined by beam scanning. Taking downlink transmission as an example, a base station sends a group of reference signals, the reference signals correspond to a group of downlink beams, a user measures wireless signals emitted by different beams and reports related information to the base station, the base station determines the best transmitting beam aiming at the user according to the user report, and meanwhile, the user adopts corresponding receiving beams. Using channel reciprocity, a user may employ a downlink beam pair for uplink transmission. The uplink beam scanning process is similar to the downlink, and the network configures an SRS (Sounding Reference Signal) to complete a corresponding process.

Because the channel is not ideal, when the estimation of the direction of arrival is adopted, the influence of the phase error on the angle estimation performance cannot be ignored; also, the accuracy of CSI estimation may affect the effect of precoding shaping. In addition, the higher the system working frequency band is, the narrower formed beam is adopted to ensure the coverage of the cell, and in this case, the traversing beam scanning strategy brings high time complexity.

Disclosure of Invention

The invention provides a signal transmission method, a device and a device, which solve the problem that when a narrow beam is subjected to rapid beam tracking in a mobile scene, the direction of arrival estimation is adopted, and phase errors affect the angle estimation performance; the accuracy of CSI estimation may affect the effect of precoding beamforming; in the case of narrow shaped beams, the traversal beam scanning time is high in complexity, and other problems caused by inaccurate scheduling due to position influence are solved.

In a first aspect, the present invention provides a signal transmission method, including:

determining the measured values of the current time and the previous time of the terminal in a three-dimensional cell environment, wherein the three-dimensional cell environment is a three-dimensional model constructed based on a detection sensing mode;

predicting a predicted value of the position at the next moment according to the measured value through a prediction function, wherein the prediction function is used for estimating average acceleration according to the measured value and calculating the predicted value of the position at the next moment according to the current speed and the average acceleration; initializing relevant parameters of the prediction function by a machine learning method; adjusting the relevant parameters of the prediction function according to the time delay requirement and the change of the position; acquiring a wave beam/scheduling information/modulation and coding strategy MCS which is determined to be adopted according to the three-dimensional cell environment model and the predicted value of the position;

and performing signal transmission after performing beam forming/scheduling information scheduling/MCS modulation by using the beam.

Optionally, the signal transmission is performed after the beam forming/scheduling information is used for scheduling/MCS modulation, and the method includes at least one of the following steps:

when the block error rate of the signal is determined to be larger than a set threshold value, adjusting the angle of the current wave beam upwards and/or downwards respectively by a set angle in the direction of the current wave beam;

and scanning the beam in a beam scanning range, adjusting the current beam according to the scanning result, wherein the beam scanning range is the direction of the current beam, and adjusting the angle of the current beam upwards and/or downwards to set the beam range corresponding to the angle.

Optionally, adjusting a relevant parameter of the prediction function according to the time delay requirement and the change of the position includes at least one of the following steps:

when the acceleration change direction exceeds a set angle threshold within delta t time, reducing the value of M for calculating the average acceleration at M moments;

and when the terminal is determined to be in a scene with the moving speed exceeding a set speed high threshold, reducing the value of the delta t at two adjacent moments, and when the terminal is determined to be in a scene with the moving speed lower than a set speed low threshold, increasing the value of the delta t of the acceleration at two adjacent moments.

Optionally, the three-dimensional cell environment is a stereo model constructed based on a detection sensing manner by adopting any one of the following steps:

the terminal collects environmental data through detecting a sensing signal and reports the environmental data to the base station/server, and the base station/server constructs a three-dimensional cell environment according to the environmental data reported by different terminals;

acquiring environmental data by a base station through detecting a sensing signal, and constructing a three-dimensional cell environment according to the environmental data;

acquiring environmental data by a server through detecting a sensing signal, and constructing a three-dimensional cell environment according to the environmental data;

the method comprises the steps that a base station/server collects environment data through detection sensing signals, an initial three-dimensional cell environment is constructed according to the environment data, a terminal collects the environment data through the detection sensing signals and reports the environment data to the base station/server, and the base station/server completes the initial three-dimensional cell environment according to the environment data reported by different terminals.

Optionally, the acquiring, by the terminal/base station/server, the environmental data by a probe-aware technique includes:

and the terminal/base station/server detects the object by using the active detection sensing signal and/or the passive detection sensing signal through a detection sensing technology, and determines the outline, material and orientation data of the object in the cell according to the detection result.

Optionally, the active detection sensing signal includes any one or any more of a laser detection sensing signal, a millimeter wave sensing detection sensing signal, and a terahertz wave sensing detection sensing signal;

the passive detection sensing signal comprises a visual sensing detection sensing signal for acquiring a cell image.

Optionally, determining the measured values of the terminal at the current time and the previous time in the three-dimensional cell environment model includes:

acquiring cell images at the current moment and the previous moment through a visual detection sensing signal, carrying out image recognition on the cell images, and determining the measurement values of the terminal at the current moment and the previous moment in the three-dimensional cell environment model according to the recognized position of the terminal in the cell images; or

Recognizing a terminal by using a terahertz wave sensing detection sensing signal, and determining the measurement values of the terminal at the current time and the previous time in the three-dimensional cell environment model by using the terahertz/millimeter wave sensing detection sensing signal;

optionally, determining the adopted beam according to the three-dimensional cell environment model and the predicted value of the position includes:

and determining the adopted beam based on the principle of minimum path loss or maximum channel capacity according to the three-dimensional cell environment model and the predicted value of the position.

Optionally, the method is applied to the terminal for uplink signal transmission or applied to the base station for downlink signal transmission.

In a second aspect, the present invention provides a device for signal transmission, comprising a memory and a processor, wherein:

the memory is used for storing a computer program;

the processor is used for reading the program in the memory and executing the following steps:

determining the measurement values of the current time and the previous time of the terminal in a three-dimensional cell environment, wherein the three-dimensional cell environment is a three-dimensional model constructed based on a detection perception mode;

and performing signal transmission after performing beamforming/scheduling information scheduling/MCS modulation by adopting the wave beam.

Optionally, the processor performs signal transmission after performing scheduling/MCS modulation by using the beam for beamforming/scheduling information, and includes at least one of the following steps:

Optionally, the processor adjusts a relevant parameter of the prediction function according to the time delay requirement and the change of the position, and includes at least one of the following steps:

Optionally, the three-dimensional cell environment is based on a detection sensing manner, and the processor adopts a stereo model constructed by any one of the following steps:

the method comprises the steps that a base station/server collects environmental data through detection sensing signals, an initial three-dimensional cell environment is constructed according to the environmental data, a terminal collects the environmental data through the detection sensing signals and reports the environmental data to the base station/server, and the base station/server completes the initial three-dimensional cell environment according to the environmental data reported by different terminals.

Optionally, the processor determines the measured values of the terminal at the current time and the previous time in the three-dimensional cell environment model, including:

Identifying a terminal by using a terahertz wave sensing detection sensing signal, and determining the measurement values of the terminal at the current time and the previous time in the three-dimensional cell environment model by using the terahertz/millimeter wave sensing detection sensing signal;

optionally, the determining, by the processor, the adopted beam according to the three-dimensional cell environment model and the predicted value of the position includes:

Optionally, the device is a terminal, and the signal transmission is uplink signal transmission, or the device is a base station, and the signal transmission is downlink signal transmission.

In a third aspect, the present invention provides an apparatus for signal transmission, comprising:

the positioning unit is used for determining the measured values of the current time and the previous time of the terminal in a three-dimensional cell environment, and the three-dimensional cell environment is a three-dimensional model constructed based on a detection sensing mode;

a signal determination unit for predicting a predicted value of a position at a next time from the measured value by a prediction function for estimating an average acceleration from the measured value and calculating a predicted value of a position at a next time from a current speed and the average acceleration; initializing relevant parameters of the prediction function by a machine learning method; adjusting the relevant parameters of the prediction function according to the time delay requirement and the change of the position; acquiring a wave beam/scheduling information/modulation and coding strategy MCS which is determined to be adopted according to the three-dimensional cell environment model and the predicted value of the position;

and the signal transmission unit is used for carrying out signal transmission after adopting the wave beam to carry out wave beam forming/scheduling information to carry out scheduling/MCS to carry out modulation.

Optionally, the signal transmission unit performs signal transmission after performing scheduling/MCS modulation by using the beam for beamforming/scheduling information, and includes at least one of the following steps:

Optionally, the signal determining unit adjusts a relevant parameter of the prediction function according to the time delay requirement and the change of the position, and includes at least one of the following steps:

Optionally, the three-dimensional cell environment is based on a detection sensing manner, and the positioning unit adopts a stereo model constructed by any one of the following steps:

Optionally, the collecting, by the terminal/base station/server, the environmental data through a detection awareness technology includes:

Optionally, the determining, by the positioning unit, the measured values of the position of the terminal at the current time and the position of the terminal at the previous time in the three-dimensional cell environment model includes:

And identifying the terminal by using the terahertz wave sensing detection sensing signal, and determining the measurement values of the terminal at the current time and the previous time in the three-dimensional cell environment model by using the terahertz/millimeter wave sensing detection sensing signal.

Optionally, the determining, by the signal determining unit, a beam to be used according to the three-dimensional cell environment model and the predicted value of the position includes:

Optionally, the apparatus is applied to a terminal for uplink signal transmission, or the apparatus is applied to a base station for downlink signal transmission.

In a fourth aspect, the present invention provides a computer program medium having a computer program stored thereon, which when executed by a processor, performs the steps of a signal transmission method as provided in the first aspect above.

The signal transmission method, the signal transmission equipment and the signal transmission device can realize the fast beam tracking of narrow beams or more accurately schedule the UE in a mobile scene, and ensure the low time delay and high-reliability transmission of services.

Drawings

FIG. 1 is a schematic diagram illustrating a direction of arrival estimation technique in the prior art;

fig. 2 is a schematic diagram of a downlink transmission beam tracking process in the prior art;

fig. 3 is an application scenario of a signal transmission method provided in this embodiment;

fig. 4 is a flowchart of a signal transmission method according to an embodiment of the present invention;

fig. 5 is a schematic diagram of a three-dimensional cell environment stereo model according to an embodiment of the present invention;

FIG. 6 is a schematic diagram of a location prediction method according to an embodiment of the present invention;

fig. 7 is a schematic diagram of a device of a signal transmission method according to an embodiment of the present invention;

fig. 8 is a schematic diagram of a signal transmission method according to an embodiment of the present invention.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.

The technical scheme provided by the embodiment of the application can be suitable for various systems, and is particularly suitable for a 5G evolution system and a subsequent 6G system. For example, the applicable System may be a Global System For Mobile communications (GSM) System, a Code Division Multiple Access (CDMA) System, a Wideband Code Division Multiple Access (WCDMA) General Packet Radio Service (GPRS) System, a Long Term Evolution (Long Term Evolution) System, an LTE Frequency Division Duplex (FDD) System, an LTE Time Division Duplex (TDD), a Universal Mobile Telecommunications System (UMTS), a Worldwide Interoperability For Microwave Access (WiMAX) System, a 5G Evolution System, and a 6G System. These various systems include terminal devices and network devices.

The terminal device referred to in the embodiments of the present application may refer to a device providing voice and/or data connectivity to a user, a handheld device having a wireless connection function, or other processing device connected to a wireless modem. In different systems, the names of the terminal devices may be different, for example, in a 5G system, the terminal device may be called a User Equipment (UE). Wireless terminal devices, which may be mobile terminal devices such as mobile telephones (or "cellular" telephones) and computers with mobile terminal devices, such as portable, pocket, hand-held, computer-included, or vehicle-mounted mobile devices, may communicate with one or more core networks via the RAN, and may exchange language and/or data with a radio access network. Examples of such devices include Personal Communication Service (PCS) phones, cordless phones, session Initiation Protocol (SIP) phones, wireless Local Loop (WLL) stations, and Personal Digital Assistants (PDAs). The wireless Terminal Device may also be referred to as a system, a Subscriber Unit (Subscriber Unit), a Subscriber Station (Subscriber Station), a Mobile Station (Mobile), a Remote Station (Remote Station), an Access Point (Access Point), a Remote Terminal Device (Remote Terminal), an Access Terminal Device (Access Terminal), a User Terminal Device (User Terminal), a User Agent (User Agent), and a User Device (User Device), which are not limited in this embodiment of the present application.

The base station according to the embodiment of the present application may include a plurality of cells. A base station may also be referred to as an access point or as a device in an access network that communicates over the air-interface, through one or more sectors, with wireless terminal devices, or by other names, depending on the particular application. The network device may be configured to interconvert received air frames with Internet Protocol (IP) packets as a router between the wireless terminal device and the rest of the access network, which may include an Internet Protocol (IP) communication network. The network device may also coordinate attribute management for the air interface. For example, the network device according to the embodiment of the present application may be a Base Transceiver Station (BTS) in a Global System For Mobile Communications (GSM) or a Code Division Multiple Access (CDMA), may be a network device (NodeB) in a Wideband Code Division Multiple Access (WCDMA), may be an Evolved Node B (eNB or e-NodeB) in a Long Term Evolution (Long Term Evolution, LTE) System, may be a 5G Base Station in a 5G network architecture (Next Generation), may be a Home Evolved Node B (HeNB), a Relay Node (Relay Node), a Home Base Station (Femto), a Pico Base Station (Pico Base Station), and the like, and the embodiments of the present application are not limited thereto.

In an IMT (International Mobile telecommunications System) -2030 System, that is, a 6G System, which supports terahertz frequency band (0.1-10 THz) communication, a base station/terminal adopts antennas with higher gain and integrates a greater number of antennas and forms a pencil-shaped ultra-narrow beam by using a beam forming technology, so as to overcome high path loss of the terahertz frequency band and improve the coverage of a cell. Therefore, how to obtain accurate channel information, implement fast beam tracking of narrow beams in a mobile scene, and ensure low delay and high reliability transmission of services is a key technical problem to be solved.

The common beam tracking techniques in the prior art all have certain defects:

the Direction Of the beam required by the beamformer is obtained by using a DOA (Direction Of Arrival) estimation technique. Assuming that the observation point is far away from the antenna element, the angles at which the two trains of waves reach the observation point can be considered to be the same, and as shown in fig. 1, the phase difference of the two trains of waves changes with the change of the observation angle. And estimating the DOA through the uplink signal by utilizing the reciprocity of the channel and calculating a downlink beamforming vector by using the DOA. However, the phase error has a non-negligible effect on the angle estimation performance when the above direction of arrival estimation is used because of non-ideal channel.

Estimating CSI (channel State Information) according to a reference signal, obtaining Precoding Matrix Indicator (PMI) of beamforming, and tracking channel change by updating Precoding weights. The accuracy of CSI estimation may affect the effect of precoding shaping.

As shown in fig. 2, for analog domain beamforming, the optimal beam direction is determined by beam scanning. Taking downlink transmission as an example, a base station sends a group of reference signals, the reference signals correspond to a group of downlink beams, a user measures wireless signals sent by different beams and reports related information to the base station, the base station determines the best transmitting beam aiming at the user according to the user report, and meanwhile, the user adopts corresponding receiving beams. Using channel reciprocity, a user may employ a downlink beam pair for uplink transmission. The uplink beam scanning process is similar to the downlink, and the network configures an SRS (Sounding Reference Signal) to complete a corresponding process.

The higher the system operating frequency band is, the narrower shaped beam will be used to ensure the coverage of the cell, and in this case, the above traversal beam scanning strategy brings high time complexity.

In view of the above problems, the present invention provides a signal transmission method, which can implement beam tracking on narrow beams in a mobile scene, and reduce link instability caused by position estimation errors. The scheme can realize the fast beam tracking of narrow beams or more accurately schedule the UE in a mobile scene, and ensures the low time delay and high-reliability transmission of services.

Example 1

As shown in fig. 3, an application scenario of the signal transmission method provided in this embodiment is shown.

For convenience of description, all base stations, servers, and terminals are not illustrated in fig. 3, and in an actual system, a plurality of base stations, servers, and terminals may coexist, and are not described herein again.

It should be noted that the schematic diagram of the application scenario is only an illustration of the application scenario applicable to the embodiment of the present invention, and compared with the application scenario shown in fig. 3, the application scenario applicable to the embodiment of the present invention may further include other entities or reduce part of entities.

Based on the application scenario, as shown in fig. 4, a signal transmission method provided in an embodiment of the present invention includes:

step S401, determining the measured values of the current time and the previous time of the terminal in a three-dimensional cell environment, wherein the three-dimensional cell environment is a three-dimensional model constructed based on a detection perception mode;

the three-dimensional cell environment is a three-dimensional model constructed based on a detection sensing manner, and as shown in fig. 5, the three-dimensional cell environment is a schematic diagram of the three-dimensional model, the three-dimensional cell environment is detected by a terminal/base station/server through a detection sensing technology by using an active detection sensing signal and/or a passive detection sensing signal, the outline, the material and the orientation data of an object in a cell are determined according to a detection result, and the three-dimensional model of the three-dimensional cell environment is constructed according to the environment data.

Optionally, the acquiring, by the terminal/base station/server, the environmental data by using a detection sensing technology includes:

Specifically, the base station side may collect UE in a cell range and environment information in the cell range by using a detection sensing module, where the detection sensing module may be integrated in the base station, or may be configured in each spatial position in the cell range as an independent device, and is not limited herein.

The active detection sensing means that the base station controls the detection sensing module to send an active detection sensing signal to at least one direction, the active detection sensing signal comprises any one or more of a laser detection sensing signal, a millimeter wave sensing detection sensing signal and a terahertz wave sensing detection sensing signal, and the signals can be combined or used respectively to determine the outline, the material and the direction information of an object in a cell.

The first active detection sensing mode is to detect an object by using a laser detection sensing signal.

The laser detection method has the advantages that the laser is emitted to each object in the cell range through the detection sensing module, the distance information of the target object can be rapidly acquired through the time difference of the received reflected laser, the direction of the target object is obtained through the scanning angle of the acquired laser, the laser detection mode is used, the laser detection method has the advantages of being high in measurement accuracy, fast in response time and insensitive to illumination environment changes, and the outline and the position information of each object in the cell range can be detected through the laser.

And the second active detection sensing mode is to detect the object by using the millimeter wave sensing detection sensing signal.

Because the laser beam directivity that laser sensing module launched is stronger, the vision blind area appears comparatively easily, promptly on laser transmission path, if there is the shelter, then can't perceive the object information that does not have the distance difference. Therefore, for objects in the vision blind area, the millimeter waves can be used for covering the laser blind area, the sensing distance of the millimeter wave sensing module is farther than that of the laser sensing module, and the position information of each object in the cell range can be detected through the millimeter waves.

And a third active detection sensing mode, namely, detecting a sensing signal by utilizing terahertz wave sensing to detect an object.

Because the millimeter waves can only determine the position information of each object in the cell range, but the objects are difficult to identify, and the terahertz waves have strong penetrability on nonpolar materials, shielded targets can be detected, and the position information and the material of each object in the cell range can be detected through the characteristics of fingerprint spectrum of the terahertz waves.

The above-mentioned passive detection perception signal includes the vision sensing detection perception signal, confirms the position information of object in the district according to the detection result, includes:

and performing image analysis on the cell image, identifying the outline of the cell object, and determining the azimuth information of the cell object by a monocular imaging ranging method/binocular stereoscopic vision ranging method.

Specifically, the base station acquires surrounding environment information based on image analysis by using at least one high-definition camera in the detection sensing module, and senses the shape, size and position of an object in a cell range through an image analysis recognition technology.

In addition, the active detection sensing signal and the passive detection sensing signal may be used separately or in combination, for example, one way of combining the signals is to obtain specific category information of an object through image analysis and identification after imaging is performed by a camera, and then the base station controls the position determined according to the image analysis, and directionally sends out the active detection sensing signal, such as sending out laser, millimeter wave or terahertz wave, to perform fixed-point ranging and material analysis.

Optionally, determining the measurement values of the terminal at the current time and the previous time in the three-dimensional cell environment model includes:

It should be noted that the above-mentioned measurement values for determining the current time and the previous time of the terminal in the three-dimensional cell environment model are not limited to detecting the sensing signal by using terahertz/millimeter wave sensing, and any form of sensing detection sensing signal may be applied to the present invention as long as the measurement of the position time can be realized.

After the three-dimensional cell environment is obtained, in order to realize signal transmission between the terminal and the base station, the position information of the terminal needs to be determined, and the position information of the terminal can be used for determining the position of the terminal by sensing the surrounding environment of the terminal through a detection sensing module.

The above-mentioned visual detection perception signal can be obtained by: the camera is used for photographing, the surrounding environment information is acquired based on machine vision, the shape and the size of a target object are sensed through an image analysis and recognition technology, and the determination of the position of the target object can be obtained through a monocular imaging distance measurement method and a binocular stereoscopic vision distance measurement method. And the position of the terminal in the three-dimensional cell environment is obtained by taking the target object as a reference point.

The terminal may determine the current time and the measured value of the previous time in the three-dimensional cell environment in any positioning manner, for example, the terminal sends the identifier of the position where the terminal is located or the relative position of the device to a surrounding object or the carrying position to the base station, or the base station may actively scan each terminal and the terminal position in the cell, where the method of determining each terminal through scanning may be to previously install a marker in the terminal, and when the base station scans, it may be determined whether the scanned object is a terminal according to the marker, or place a marker on the surface of the terminal, and when the base station identifies the marker through an image, determine the object at the position as the terminal.

Step 402, predicting the predicted value of the position at the next moment according to the measured value through a prediction function, and obtaining a wave beam/scheduling information/modulation and coding strategy MCS determined to be adopted according to the three-dimensional cell environment model and the predicted value of the position;

specifically, the adopted beam is determined based on the principle of minimum path loss or maximum channel capacity according to the three-dimensional cell environment model and the predicted value of the position.

As an alternative embodiment, the scheduling and MCS selection may be performed according to the three-dimensional cell environment and the measurement value of the terminal location.

Step 403, performing signal transmission after performing beamforming/scheduling information scheduling/MCS modulation by using the beam.

The scheme provided by the embodiment of the invention obtains a three-dimensional cell environment model (namely a digital 3D channel model) based on a perception technology, further realizes more accurate and rapid beam tracking of a moving target based on a prediction technology, and directionally forms to a prediction position through an antenna to realize more accurate and rapid beam tracking in a moving scene, or can also determine a modulation and scheduling scheme of a terminal on the basis of tracking the terminal, so that the modulation or scheduling scheme is more accurate, and the efficiency of signal modulation/terminal scheduling is improved.

In the application scenario, when the base station 301 and the terminal 303 perform signal transmission to determine the three-dimensional cell environment model, a possible implementation manner is that the terminal acquires environment data by a sensing detection method and reports the environment data to the base station/server, and the base station/server constructs a three-dimensional cell environment according to the environment data reported by different terminals; another possible implementation is that the base station/server collects the environmental data by the over-sensing detection method, and constructs the three-dimensional cell environment according to the collected environmental data. It is also possible that the base station/server collects environment data by detecting sensing signals, an initial three-dimensional cell environment is constructed according to the environment data, the terminal collects the environment data by detecting sensing signals and reports the environment data to the base station/server, and the base station/server perfects the initial three-dimensional cell environment according to the environment data reported by different terminals. The environment data includes the shape, size, position, material, etc. of the object in the cell. The method comprises the steps of determining the measured values of the current time and the previous time position of a terminal in a three-dimensional cell environment during signal transmission, predicting the predicted value of the next time position of the terminal, obtaining the adopted beam/scheduling information/MCS (Modulation and Coding Scheme), and finally adopting the beam to carry out beam forming/scheduling information to carry out scheduling/MCS to carry out signal transmission after Modulation.

As an optional implementation, the signal transmission method may be applied to a base station to perform downlink signal transmission:

the base station obtains the constructed three-dimensional cell environment through any one of the above manners, and the base station determines the measured values of the current time and the previous time position of the terminal in the three-dimensional cell environment, or after the three-dimensional cell environment is constructed by the server, the server determines the measured values of the current time and the previous time position of the terminal in the three-dimensional cell environment and sends the measured values of the positions to the base station. The method comprises the steps that a base station predicts a predicted value of the position of a terminal at the next moment based on the measured values of the position of the terminal at the current moment and the position of the terminal at the previous moment in a three-dimensional cell environment; and finally, the base station adopts the wave beam to carry out wave beam forming/scheduling information to carry out scheduling/MCS to carry out signal transmission after carrying out modulation.

As another optional implementation, the signal transmission method may also be applied to a terminal to perform uplink signal transmission:

the terminal acquires the constructed three-dimensional cell environment in any mode, determines the measured values of the current time and the previous time position of the terminal in the three-dimensional cell environment, or the server determines the measured values of the current time and the previous time position of the terminal in the three-dimensional cell environment after constructing the three-dimensional cell environment and sends the measured values of the positions to the terminal. The method comprises the steps that a terminal predicts a predicted value of the position of the terminal at the next moment based on the measured values of the current moment and the position of the terminal at the previous moment in a three-dimensional cell environment; and finally, the terminal adopts the wave beam to carry out wave beam forming/scheduling information to carry out scheduling/MCS to carry out signal transmission after modulation.

Optionally, the signal transmission is performed after the beam forming/scheduling information is used for scheduling/MCS modulation by using the beam, and the method includes at least one of the following steps:

As an optional implementation manner, when the block error rate bler of the signal is greater than a set threshold, spreading is performed in the prediction direction phi, that is, a beam is widened within a range of phi ± Δ phi to cover, wherein the value of Δ phi depends on the positioning accuracy and the distance r between the terminal and the base station;

under the condition of time delay allowance, the beam scanning can be carried out in the beam scanning range, for example, the beam scanning is carried out in the range of phi +/-delta phi, and then the optimal shaped beam is obtained.

In one or more possible embodiments, the predicted value of the position at the next time is predicted by the prediction function value, and fig. 6 is a schematic diagram of position prediction.

The prediction function is used for estimating the average acceleration according to the measured value, and calculating the predicted value of the position at the next moment according to the current speed and the average acceleration.

Specifically, the process of predicting the predicted value of the next time position by the prediction function value is as follows:

(1) Calculating the speed v of the terminal;

from the measured values P of the current and previous time positions ₀ ，P _-1 ，P _-2 ，…，P _-N Calculating the velocity v of the mobile terminal ₀ ，v _-1 ，v _-2 ，…，v _-(N-1) ；

In particular, v ₀ ＝S _P0-P-1 /△t，v _-1 ＝S _P-1-P-2 /△t，…，

v _-(N-1) ＝S _P-(N-1)-P-N /. DELTA.t, in which S _P0-P-1 : is P ₀ ，P _-1 The distance between the two points; Δ t is the sampling time difference between two adjacent sampling instants.

(2) Estimating the average acceleration a' at M moments according to the change of v;

in particular, a ₀ ＝(v ₀ -v _-1 )/△t，a _-1 ＝(v _-1 -v _-2 )/△t，…

M may be configured and a' is the average acceleration of the first M moments.

(3) According to velocity v ₀ Acceleration a' to predict the position P at the next time ₁ ’；

In particular, v ₁ ＝v ₀ +a’△t，

S＝v ₀ △t+1/2a’(△t) ² 。

Wherein, P ₁ Is' v ₁ Distance P in direction ₀ Point of S, v ₁ The direction can be defined by v ₀ The direction and the direction of the acceleration a' are obtained by the parallelogram rule.

In particular, let P be when a scene is still ₁ ’＝P ₀ The current position measurement value is used as the next-time position prediction value.

Optionally, the method further comprises at least one of the following steps:

initializing relevant parameters of the prediction function by a machine learning method;

and adjusting the relevant parameters of the prediction function according to the time delay requirement and the change of the position.

As an optional implementation, the relevant parameters of the prediction function are initialized by a machine learning method. And collecting the measurement values of the positions in the three-dimensional cell environment, processing and analyzing the measurement values, and performing feature selection and evaluation improvement to obtain the relevant parameters of the initialization of the prediction function.

It should be noted that, the manner for obtaining the predicted value of the next time position is not limited to be determined uniquely, and in a specific implementation, the predicted value of the next time position may be obtained in any manner, and may be applied to the present application, and is not limited to the manner provided by the foregoing embodiment, and those skilled in the art should know that details are not described here.

specifically, when the average acceleration a' at M times is estimated, M is adaptively configured according to the position change. When the acceleration change direction exceeds a set angle threshold value within delta t time, reducing and calculating the value of M of the average acceleration at M moments; for example, when the position change direction is frequently switched, the value of M is decreased, so that the motion acceleration directions of M positions are approximately the same;

and when the terminal is determined to be in a scene with the moving speed exceeding a set speed high threshold, reducing the value of the delta t at two adjacent moments, and when the terminal is determined to be in a scene with the moving speed lower than a set speed low threshold, increasing the value of the delta t of the acceleration at two adjacent moments. In the mode, the delta t can be configured according to the moving speed, when a high-speed motion scene occurs, the value of the delta t is reduced, and when a low-speed motion scene occurs, the value of the delta t is increased.

As an optional implementation manner, the relevant parameters of the prediction function are not fixed, and the relevant parameters of the prediction function are adaptively adjusted according to the delay requirement and the change of the position.

The range of the cell environment may be the farthest range that the cell base station can cover during communication, or the farthest detection position that the cell base station can detect, and optionally, the finally determined cell environment range is a position that the cell base station can both cover and detect during communication.

The cell environment data may be an object that is stationary for a period of time or an object that moves within a cell range, and the environment information specified by the stationary object and the environment information specified by the moving object may be used in combination or separately, in order to ensure the immediacy of the positions of each object and terminal in the cell.

It should be noted that, during actual detection, there is a blocking object that blocks transmission of a beam at other positions in the cell range, but the blocking object does not affect the current communication, or is not in the corresponding beam communication direction, and the blocking object may not be detected.

It should be noted that after the cell environment data is obtained, main reflective objects, shielding objects, and the like are determined, and are abstracted into three-dimensional or three-dimensional combined figures such as a rectangular solid, a triangular prism, and the like, so as to construct a geographic environment digital three-dimensional model, and then, a beam of communication is simulated on the model. In addition, when the model is constructed, the planar model can be drawn firstly, so that the model drawing process is simplified, and the efficiency is improved.

The method includes the steps that a certain delay exists between the time of building a three-dimensional cell environment and the current time, if the three-dimensional cell environment drawn at the previous time is still used, the transmission quality of beam signals can be affected if a moving object shelters a directional path in a cell range, and therefore after a terminal is determined, whether each object in the cell range changes in position compared with the three-dimensional cell environment drawn at the previous time is detected, if the position changes, a current three-dimensional environment model is updated according to current position information.

As described above, the executing entity for constructing the three-dimensional cell environment may be a base station itself (using base station detection or terminal detection)/a server itself (sampling server detection or terminal detection)/a base station and a terminal, and the following detailed description of the three-dimensional cell environment for each mode is as follows:

1) And acquiring environmental data by the terminal through detecting the sensing signal and reporting the environmental data to the base station/server, and constructing a three-dimensional cell environment by the base station/server according to the environmental data reported by different terminals.

The terminal obtains the environmental conditions around the terminal through technologies such as camera shooting/terahertz detection and the like;

the terminal shoots through the camera, obtains surrounding environment information based on machine vision, and perceives the shape and the size of a target object through an image analysis and recognition technology. The determination of the position of the target object can be obtained by monocular imaging ranging and binocular stereovision ranging.

The characteristics such as the material of a reflecting object and the like can be obtained through terahertz active detection, specifically, on the basis of photographing by a camera, a reflecting surface at a specific position can be further identified by means of the fingerprint spectrum characteristic of terahertz waves, in a terahertz communication system, the material characteristics of the reflecting object are part of necessary information of a digital three-dimensional model, and other communication systems select whether the characteristics are needed or not according to conditions;

selecting and determining main reflecting objects, shelters and the like, abstracting the main reflecting objects, the shelters and the like into three-dimensional or three-dimensional combined graphs such as a cuboid, a triangular prism and the like, and constructing a geographic environment digital three-dimensional model;

2) And the base station acquires environmental data through detecting the sensing signal and constructs a three-dimensional cell environment according to the environmental data.

The base station obtains the environmental conditions around the base station through technologies such as camera shooting/terahertz detection and the like;

the base station takes a picture through one or a group of cameras, obtains surrounding environment information based on machine vision, and perceives the shape and the size of a target object through an image analysis and recognition technology. The determination of the position of the target object can be obtained by monocular imaging ranging and binocular stereovision ranging.

the terminal may obtain the digital three-dimensional model from the base station.

3) And the server acquires environmental data through detecting the sensing signals and constructs a three-dimensional cell environment according to the environmental data.

The server in the embodiment is used as a cloud/edge terminal, and the ambient environmental conditions are obtained through technologies such as camera shooting/terahertz detection and the like through a large number of distributed detection sensing modules;

the cloud/edge terminal takes pictures through one or a group of distributed detection sensing modules, mainly refers to a camera, obtains surrounding environment information based on machine vision, and senses the shape and the size of a target object through an image analysis recognition technology. The determination of the position of the target object can be obtained by monocular imaging ranging and binocular stereovision ranging.

through the position information of the base station (the terminal can obtain the information through broadcasting messages and the like), the base station/the terminal downloads information such as a digital three-dimensional model corresponding to the base station from a cloud/side end;

specifically, the cloud/edge server stores digital three-dimensional models of a plurality of base stations, the base stations/terminals send requests to the cloud/edge server in a wireless mode, the position information of the base stations is sent to the cloud/edge server, the digital three-dimensional models around the positions of the base stations are requested to be determined, and the cloud/edge server feeds back corresponding digital three-dimensional models to the base stations/terminals in a wireless mode.

Optionally, the base station/terminal sends a request to the cloud/edge server in a wireless manner, and sends the position, frequency, and information such as the number of antennas and the distance of the base station/terminal to the cloud/edge server to request a channel information matrix, the cloud/edge server may obtain 1 or X strongest paths greater than a certain threshold through the digital three-dimensional model, the base station and the terminal position by using a ray tracing method, accumulate the selected path signals to obtain a channel information matrix H, and feed back corresponding channel information to the base station/terminal in a wireless manner.

4) The base station/server collects environmental data through detecting sensing signals, an initial three-dimensional cell environment is constructed according to the environmental data, the terminal collects the environmental data through detecting sensing signals and reports the environmental data to the base station/server, and the base station/server perfects the initial three-dimensional cell environment according to the environmental data reported by different terminals.

The base station or the cloud/side end obtains the surrounding environment condition through technologies such as camera shooting/terahertz detection and the like; selecting and determining main reflecting objects, shelters and the like, abstracting the main reflecting objects, the shelters and the like into three-dimensional or three-dimensional combined graphs such as a cuboid, a triangular prism and the like, and constructing a geographic environment digital three-dimensional model;

the method comprises the following steps that characteristics such as material of a reflecting object are obtained through terahertz active detection, in a terahertz communication system, the characteristics of the material of the reflecting object are part of necessary information of a digital three-dimensional model, and other communication systems select whether the characteristics are needed or not according to conditions;

the terminal obtains the environmental conditions around the terminal through technologies such as camera shooting/terahertz detection and the like; and selecting and determining main reflecting objects, shelters and the like, and reporting the obtained ambient environment conditions to the base station or the cloud/side end by the terminal, so that the base station or the cloud/side end further supplements the constructed digital three-dimensional model after receiving the information, and a more complete three-dimensional model is obtained.

Or, further, the terminal obtains the digital three-dimensional model from the base station or the cloud/edge terminal;

the terminal obtains the environmental conditions around the terminal through technologies such as camera shooting/terahertz detection and the like; selecting and determining main reflecting objects, shelters and the like, and further supplementing the obtained digital three-dimensional model to obtain a more complete three-dimensional model;

As an optional implementation mode, the predicted value P according to the position at the next moment is used ₁ ', an optimal shaped beam is obtained based on the minimum path loss principle: based on the three-dimensional cell environment, path losses of different paths are calculated by adopting a ray tracing method, and X strongest paths of 1 or more than a certain threshold are obtained.

The ray tracing method is a method for solving ray paths between two points and electromagnetic wave propagation time by giving the positions of a transmitting point and a receiving point and the wave velocity of a medium, and is mainly divided into a forward algorithm and a reverse algorithm. The trial launching method, the bending method, the finite difference method, the travel time interpolation method, the shortest path method and the wavefront construction method belong to forward algorithms, and the reverse algorithm is to search each path from a receiving point to a launching point in reverse from the receiving point according to the geometrical optics principle.

In addition, when the ray tracing method is used, a plurality of reflection/scattering paths may be determined, and these reflection/scattering points may also be a plurality of reflection/scattering points, but we cannot transmit shaped beams to all the reflection/scattering points, so it is necessary to determine the strongest reflection/scattering path, generally, the strongest transmission path may be one or several, specifically, if there are a plurality of strongest paths, and if there are a plurality of strongest paths, selecting one strongest path can satisfy communication, and then transmitting a shaped beam on any strongest path.

(1) For digital beamforming: accumulating the selected path signals to obtain a channel information matrix H, and obtaining a transmitting pre-coding matrix W based on the principles of Maximum Ratio Combining (MRC) and the like _D (for MRC, W _D ＝H ^H )；

(2) For analog beamforming: calculating the received powers corresponding to different phase shifting factors, and selecting the phase shifting factor W with the maximum power _A Configuring an analog phase shifter;

(3) For digital-to-analog hybrid beamforming: according to the method, the optimal phase shift factor W is obtained _A Obtaining an updated channel information matrix HW _A And then calculates the digital precoding matrix.

Optionally, the base station/terminal sends a request to the cloud/edge server in a wireless manner, and sends information such as the position, the frequency, the selected path threshold, the number of antennas, the antenna distance and the like of the base station/terminal to the cloud/edge server to request to determine the channel information matrix H, and the base station/terminal may obtain the digital precoding matrix or configure the analog phase shifter by the method.

Specifically, the channel information matrix H may be obtained by a ray tracing method according to the three-dimensional cell environment and the measurement value of the base station/terminal location, and scheduling and MCS selection are performed in combination with the HARQ (Hybrid Automatic Repeat reQuest) feedback result at the previous time, for example, if the channel quality is poor or the error code is increased, the MCS level is reduced or more resources are allocated, otherwise, the MCS level is increased or the allocated resources are reduced.

Optionally, the method is applied to the terminal for uplink signal transmission, or applied to the base station for downlink signal transmission.

Example 2

An embodiment of the present invention provides a device for signal transmission, as shown in fig. 7, including:

memory 701, processor 702, transceiver 703, and bus interface 704.

The processor 702 is responsible for managing the bus architecture and general processing, and the memory 701 may store data used by the processor 702 in performing operations. The transceiver 703 is used for receiving and transmitting data under the control of the processor 702.

The bus architecture may include any number of interconnected buses and bridges, with one or more processors, represented by processor 702, and various circuits of memory, represented by memory 701, being linked together. The bus architecture may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. The bus interface provides an interface. The processor 702 is responsible for managing the bus architecture and general processing, and the memory 701 may store data used by the processor 702 in performing operations.

The processes disclosed in the embodiments of the invention can be implemented in the processor 702 or implemented by the processor 702. In implementation, the steps of the signal processing flow may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 702. The processor 702 may be a general purpose processor, a digital signal processor, an application specific integrated circuit, a field programmable gate array or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or the like that implement or perform the methods, steps, and logic blocks disclosed in embodiments of the present invention. A general purpose processor may be a microprocessor or any conventional processor or the like. The steps of a method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware processor, or may be implemented by a combination of hardware and software modules in the processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in the memory 701, and the processor 702 reads the information in the memory 701, and completes the steps of the signal processing flow in combination with the hardware thereof.

Specifically, the processor 702 is configured to read the program in the memory 701 and execute:

predicting a predicted value of the position at the next moment according to the measured value through a prediction function, wherein the prediction function is used for estimating an average acceleration according to the measured value and calculating the predicted value of the position at the next moment according to the current speed and the average acceleration; initializing relevant parameters of a prediction function by a machine learning method; adjusting the relevant parameters of the prediction function according to the time delay requirement and the change of the position; acquiring a wave beam/scheduling information/modulation and coding strategy MCS which is determined to be adopted according to the three-dimensional cell environment model and the predicted value of the position;

when the acceleration change direction exceeds a set angle threshold value within delta t time, reducing and calculating the value of M of the average acceleration at M moments;

The signal transmission device provided by the embodiment of the present invention is the same as the signal transmission device provided by the above embodiment of the present invention, and various implementations applied to the signal transmission provided by the above embodiment can be applied to the signal transmission device provided by the present embodiment, and will not be repeated here.

An embodiment of the present invention provides a signal transmission apparatus, as shown in fig. 8, including:

a positioning unit 801, configured to determine measurement values of a current time and a previous time of a terminal in a three-dimensional cell environment, where the three-dimensional cell environment is a stereo model constructed based on a detection sensing manner;

a signal determining unit 802, configured to predict a predicted value of a position at a next time according to the measured value through a prediction function, where the prediction function is configured to estimate an average acceleration according to the measured value, and calculate a predicted value of the position at the next time according to a current speed and the average acceleration; initializing relevant parameters of a prediction function by a machine learning method; adjusting the relevant parameters of the prediction function according to the time delay requirement and the change of the position; acquiring a wave beam/scheduling information/modulation and coding strategy MCS which is determined to be adopted according to the three-dimensional cell environment model and the predicted value of the position;

a signal transmission unit 803, configured to perform signal transmission after performing scheduling/MCS modulation by using the beam for beamforming/scheduling information.

The signal transmission device provided by the embodiment of the present invention is the same as the apparatus provided by the above embodiment of the present invention, and can be applied to various implementation manners of signal transmission provided by the above embodiment, and will not be described again here.

The present invention also provides a computer program medium having stored thereon a computer program which, when being executed by a processor, realizes the steps of any of the beam tracking signal transmission methods provided in the above-mentioned embodiments.

In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice, for example, a plurality of modules or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or modules, and may be in an electrical, mechanical or other form.

The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.

In addition, functional modules in the embodiments of the present application may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may be stored in a computer readable storage medium.

In the above embodiments, all or part of the implementation may be realized by software, hardware, firmware, or any combination thereof. When implemented in software, it may be implemented in whole or in part in the form of a computer program product.

The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can store or a data storage device, such as a server, a data center, etc., that is integrated with one or more available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid State Disk (SSD)), among others.

The technical solutions provided by the present application are introduced in detail, and the present application applies specific examples to explain the principles and embodiments of the present application, and the descriptions of the above examples are only used to help understand the method and the core ideas of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.

Claims

1. A method of signal transmission, the method comprising:

predicting a predicted value of the position at the next moment according to the measured value through a prediction function, wherein the prediction function is used for estimating average acceleration according to the measured value and calculating the predicted value of the position at the next moment according to the current speed and the average acceleration; initializing relevant parameters of the prediction function by a machine learning method; adjusting the relevant parameters of the prediction function according to the time delay requirement and the change of the position;

acquiring a wave beam/scheduling information/modulation and coding strategy MCS which is determined to be adopted according to the three-dimensional cell environment model and the predicted value of the position;

2. The method of claim 1, wherein the signal transmission after scheduling/MCS modulation by using the beam for beamforming/scheduling information comprises at least one of the following steps:

3. The method of claim 1, wherein adjusting the relevant parameters of the prediction function according to the delay requirement and the change of the location comprises at least one of the following steps:

4. The method according to claim 1, wherein the three-dimensional cell environment is a stereo model constructed based on a detection perception manner by adopting any one of the following steps:

the terminal acquires environmental data through detecting sensing signals and reports the environmental data to the base station/server, and the base station/server constructs a three-dimensional cell environment according to the environmental data reported by different terminals;

5. The method according to claim 4, wherein the collecting of the environment data by the terminal/base station/server through the probe-aware technology comprises:

6. The method of claim 5,

the active detection sensing signal comprises any one or more of a laser detection sensing signal, a millimeter wave sensing detection sensing signal and a terahertz wave sensing detection sensing signal;

7. The method of claim 1, wherein determining the measurement values of the terminal's position in the three-dimensional cell environment model at the current time and the previous time comprises:

acquiring cell images at the current moment and the previous moment through a visual detection sensing signal, carrying out image recognition on the cell images, and determining the measurement values of the terminal at the current moment and the previous moment in the three-dimensional cell environment model according to the recognized position of the terminal in the cell images; or alternatively

8. The method of claim 1, wherein determining the beam to be used according to the three-dimensional cell environment model and the predicted value of the position comprises:

and determining the adopted wave beam based on the principle of minimum path loss or maximum channel capacity according to the three-dimensional cell environment model and the predicted value of the position.

9. The method of claim 1, wherein the method is applied to uplink signal transmission by a terminal or downlink signal transmission by a base station.

10. An apparatus for signal transmission, comprising a memory and a processor, wherein:

the memory is used for storing a computer program;

predicting a predicted value of the position at the next moment according to the measured value through a prediction function, wherein the prediction function is used for estimating an average acceleration according to the measured value and calculating the predicted value of the position at the next moment according to the current speed and the average acceleration; initializing relevant parameters of a prediction function by a machine learning method; adjusting the relevant parameters of the prediction function according to the time delay requirement and the change of the position;

11. The apparatus of claim 10, wherein the processor performs signal transmission after scheduling/MCS modulation using the beam for beamforming/scheduling information, comprising at least one of the following steps:

12. The apparatus of claim 10, wherein the processor adjusts the relevant parameters of the prediction function according to the delay requirement and the change of the location, and comprises at least one of the following steps:

13. The apparatus of claim 10, wherein the three-dimensional cell environment is based on a sensing manner, and the processor constructs a stereo model by using any one of the following steps:

14. The apparatus according to claim 13, wherein the collecting of the environment data by the terminal/base station/server through the probe-aware technology comprises:

the terminal/base station/server detects the object by using the active detection sensing signal and/or the passive detection sensing signal through the detection sensing technology, and determines the outline, material and orientation data of the object in the cell according to the detection result.

15. The apparatus of claim 14,

16. The apparatus of claim 10, wherein the processor determines the measurement values of the terminal's current and previous time locations in the three-dimensional cell environment model, and comprises:

17. The apparatus of claim 10, wherein the processor determines the beam to be used based on the three-dimensional cell environment model and the predicted value of the location, comprising:

18. The apparatus of claim 10, wherein the apparatus is a terminal and the signal transmission is uplink signal transmission, or wherein the apparatus is a base station and the signal transmission is downlink signal transmission.

19. An apparatus for signal transmission, comprising:

the positioning unit is used for determining the measured values of the current time and the previous time of the terminal in a three-dimensional cell environment, and the three-dimensional cell environment is a three-dimensional model constructed based on a detection perception mode;

20. A computer storage medium on which a computer program is stored, which computer program, when being executed by a processor, carries out the method according to any one of claims 1-9.