CN115280833A

CN115280833A - Channel state information processing method and device and communication equipment

Info

Publication number: CN115280833A
Application number: CN202280002223.4A
Authority: CN
Inventors: 朱亚军
Original assignee: Beijing Xiaomi Mobile Software Co Ltd
Current assignee: Beijing Xiaomi Mobile Software Co Ltd
Priority date: 2022-06-16
Filing date: 2022-06-15
Publication date: 2022-11-01
Also published as: WO2023240573A1

Abstract

The embodiment of the disclosure provides a method and a device for processing channel state information and communication equipment. The method can comprise the following steps: the terminal equipment receives first indication information sent by the network equipment, wherein the first indication information is used for indicating a first reporting mode of CSI reporting; and the terminal equipment sends the first CSI to the network equipment at least according to the first reporting mode. In the disclosure, the UE determines a CSI reporting mode according to an indication of the network device, and reports the CSI according to the mode, so as to save signaling overhead for CSI reporting and improve the air interface performance.

Description

Channel state information processing method and device and communication equipment

Technical Field

The present disclosure relates to the field of wireless communication technologies, and in particular, to a method and an apparatus for processing channel state information, and a communication device.

Background

With the increasing development of Artificial Intelligence (AI), more and more researches are beginning to perform channel estimation by using AI technology to eliminate the influence of interference and noise and describe the communication channel state information more accurately, so as to improve the air interface performance.

However, in the fifth generation (5g) mobile communication system, how to realize the AI-based channel state reporting is an urgent technical problem to be solved.

Disclosure of Invention

The present disclosure provides a method, an apparatus, and a communication device for processing Channel State Information (CSI), so as to implement channel state reporting based on AI.

According to a first aspect of the present disclosure, a method for processing CSI is provided, which may be applied to a terminal device in a communication system. The method can comprise the following steps: the terminal equipment receives first indication information sent by the network equipment, wherein the first indication information is used for indicating a first reporting mode of CSI reporting; and the terminal equipment sends the first CSI to the network equipment at least according to the first reporting mode.

In the present disclosure, the network device sending the first indication information may be triggered by the network device itself or by the terminal device sending a request message (request).

In some possible embodiments, the first reporting mode is an AI-based reporting mode or a non-AI-based reporting mode.

In this disclosure, the non-AI reporting method includes PMI (precoding matrix indicator) feedback based on a codebook (codebook), where the codebook may be Type I, type II, etypei, or the like.

In some possible embodiments, the method further comprises: the terminal equipment determines a first AI model associated with the first reporting mode; the terminal device calculates the first CSI using the first AI model.

In some possible embodiments, the first indication information is used to indicate first CSI reporting configuration information, and the first CSI reporting configuration information indicates a first reporting mode.

In some possible embodiments, the first CSI configuration information indicates that CSI compressed by AI models is included in the first CSI, or the first CSI configuration information is associated with at least one AI model.

In some possible embodiments, the first CSI configuration information is semi-static CSI configuration information reported through a physical uplink control channel, and the first indication information is carried in a control unit of a multimedia access control layer.

In some possible embodiments, the first indication information is downlink control information; the terminal equipment sends the first CSI to the network equipment according to the first reporting mode, and the method comprises the following steps: the terminal equipment determines that the downlink control information meets a preset condition; and the terminal equipment sends the first CSI to the network equipment in a non-AI-based reporting mode.

In some possible embodiments, the preset condition comprises at least one of: a first information field in the downlink control information is a first value; the downlink control information is scrambled by adopting a first scrambling mode.

In some possible embodiments, the first information field comprises one or more information fields.

In some possible embodiments, the method further comprises: and the terminal equipment sends a CSI report switching request message to the network equipment, wherein the CSI report switching request message is used for requesting to switch to the first reporting mode.

In some possible embodiments, in response to the CSI reporting handover request message, the first indication information is downlink control information; the terminal device sends the first CSI to the network device according to the first reporting mode, which includes: the terminal equipment determines that the downlink control information meets a preset condition; the terminal equipment sends the first CSI to the network equipment in a first reporting mode, wherein the first reporting mode is a CSI reporting mode requested by a CSI reporting switching request message sent by the terminal equipment latest.

In some possible embodiments, the preset condition includes at least one of: a first information field in the downlink control information is a first value; the downlink control information is scrambled by adopting a first scrambling mode.

In some possible embodiments, the first indication information includes parameter information of a first AI model, and the first reporting mode is an AI-based reporting mode.

In some possible embodiments, the parameter information of the first AI model is index information of the first AI model.

In some possible embodiments, the method further comprises: the terminal equipment receives second indication information sent by the network equipment, wherein the second indication information is used for indicating the activation state of a second AI model; the terminal equipment sends the first CSI to the network equipment at least according to the first reporting mode, and the method comprises the following steps: and the terminal equipment sends the first CSI to the network equipment according to the first reporting mode and the activation state of the second AI model.

In some possible embodiments, the sending, by the terminal device, the first CSI to the network device according to the first reporting mode and the activation state of the second AI model includes: the terminal equipment determines that the first reporting mode is an AI-based reporting mode and the second AI model is in an activated state; the terminal equipment calculates first CSI according to the second AI model; the terminal equipment sends the first CSI to the network equipment.

In some possible embodiments, the sending, by the terminal device, the first CSI to the network device according to the first reporting mode and the activation state of the second AI model includes: the terminal equipment determines that the first reporting mode is an AI-based reporting mode and the second AI model is in an inactive state; and the terminal equipment sends the first CSI to the network equipment in a non-AI-based reporting mode.

In some possible embodiments, the method further comprises: the terminal device does not send CSI to the network device.

According to a second aspect of the present disclosure, a CSI processing method is provided, which may be applied to a network device in a communication system. The method can comprise the following steps: the network equipment configures a first reporting mode of CSI for the terminal equipment; the method comprises the steps that network equipment sends first indication information to terminal equipment, wherein the first indication information is used for indicating a first reporting mode of CSI reporting; and the network equipment receives the first CSI sent by the terminal equipment at least according to the first reporting mode.

In some possible embodiments, the first indication information is downlink control information that meets a preset condition, and the first reporting mode is a non-AI-based reporting mode.

In some possible embodiments, the first information field comprises one or more information fields. .

In some possible embodiments, the method further comprises: and the network equipment receives a CSI reporting switching request message sent by the terminal equipment, wherein the CSI switching request message is used for requesting to switch to the first reporting mode.

In some possible embodiments, in response to the CSI reporting handover request message, the first indication information is downlink control information that satisfies a preset condition.

In some possible embodiments, the first information field includes one or more information fields.

In some possible embodiments, the method further comprises: and the network equipment sends second indication information to the terminal equipment, wherein the second indication information is used for indicating the activation state of the second AI model, and the activation state of the second AI model is used for indicating the terminal equipment to determine the reporting mode of the first CSI.

According to a third aspect of the present disclosure, there is provided a device for processing channel state information, where the device may be a terminal device in a communication system or a chip or a system on a chip in the terminal device, and may also be a functional module in the terminal device for implementing the methods in the foregoing embodiments. The apparatus may implement the functions performed by the network device in the foregoing embodiments, and the functions may be implemented by hardware executing corresponding software. These hardware or software include one or more functionally corresponding modules. The device, comprising: the receiving module is further configured to receive first indication information sent by the network device, where the first indication information is used for indicating a first reporting mode for reporting the CSI; and the sending module is configured to send the first CSI to the network equipment at least according to the first reporting mode.

In some possible embodiments, wherein the apparatus further comprises: the processing module is configured to determine a first AI model associated with the first reporting mode and calculate the first CSI using the first AI model.

In some possible embodiments, the first CSI configuration information is semi-static CSI configuration information reported through a physical uplink control channel PUCCH, and the first indication information is carried in a control unit of a multimedia access control layer.

In some possible embodiments, the first indication information is downlink control information; the sending module is further configured to determine that the downlink control information meets a preset condition, and send the first CSI to the network device in a non-AI-based reporting manner.

In some possible embodiments, the sending module is further configured to send a CSI reporting switching request message to the network device, where the CSI reporting switching request message is used to request switching to the first reporting mode.

In some possible embodiments, in response to a CSI reporting handover request message, the first indication information is downlink control information; a sending module further configured to: determining that the downlink control information meets a preset condition; and sending the first CSI to the network equipment in a first reporting mode, wherein the first reporting mode is a CSI reporting mode requested by a CSI reporting switching request message which is newly sent by the terminal equipment.

In some possible embodiments, the receiving module is further configured to receive second indication information sent by the network device, where the second indication information is used to indicate an activation state of the second AI model; the sending module is further configured to send the first CSI to the network device according to the first reporting mode and the activation state of the second AI model.

In some possible implementations, the processing module is further configured to: determining that the first reporting mode is an AI-based reporting mode and the second AI model is in an activated state; calculating the first CSI according to the second AI model; a transmitting module further configured to transmit the first CSI to the network device.

In some possible embodiments, the processing module is further configured to: determining that the first reporting mode is an AI-based reporting mode and the second AI model is in an inactive state; the sending module is further configured to send the first CSI to the network device in a non-AI based reporting manner.

In some possible embodiments, the transmitting module is further configured to not transmit the CSI to the network device.

According to a fourth aspect of the present disclosure, there is provided a device for processing channel state information, where the device may be a network device in a communication system or a chip or a system on a chip in the network device, and may also be a functional module in the network device for implementing the methods in the foregoing embodiments. The apparatus may implement the functions performed by the network device in the foregoing embodiments, and the functions may be implemented by hardware executing corresponding software. These hardware or software include one or more functionally corresponding modules. The device, comprising: the terminal equipment comprises a processing module, a reporting module and a reporting module, wherein the processing module is configured to configure a first reporting mode of CSI for the terminal equipment; the sending module is configured to send first indication information to the terminal device, wherein the first indication information is used for indicating a first reporting mode of CSI reporting; the receiving module is configured to receive the first CSI sent by the terminal device at least according to the first reporting mode.

In some possible embodiments, the first reporting mode is an AI-based reporting mode, or a non-AI-based reporting mode.

In some possible embodiments, the first CSI configuration information indicates that CSI compressed using AI models is included in the first CSI, or the first CSI configuration information is associated with at least one AI model.

In some possible embodiments, the receiving module is further configured to receive a CSI reporting switching request message sent by the terminal device, where the CSI reporting switching request message is used to request switching to the first reporting mode.

In some possible embodiments, the sending module is further configured to send second indication information to the terminal device, where the second indication information is used to indicate an activation state of the second AI model, and the activation state of the second AI model is used to indicate that the terminal device determines a reporting mode of the first CSI.

According to a fifth aspect of the present disclosure there is provided a communication device, such as a terminal device, comprising: an antenna; a memory; the processor is connected with the antenna and the memory respectively, is configured to execute the computer-executable instructions stored on the memory, controls the transceiving of the antenna, and can implement the CSI processing method according to any one of the first aspect and the possible embodiments of the present disclosure.

According to a sixth aspect of the present disclosure there is provided a communication device, such as a network device, comprising: an antenna; a memory; and a processor, connected to the antenna and the memory, respectively, and configured to control the transceiving of the antenna by executing the computer-executable instructions stored in the memory, and to implement the CSI processing method according to any one of the second aspect and possible embodiments of the present disclosure.

According to a seventh aspect of the present disclosure, a computer-readable storage medium is provided, in which computer-executable instructions are stored, and the computer-executable instructions, when executed by a processor, can implement the CSI processing method according to the first to the second aspects and any possible implementation manner thereof.

According to an eighth aspect of the present disclosure, there is provided a computer program or a computer program product, which, when executed on a computer, causes the computer to implement the method for processing CSI as described in the first to second aspects and any possible implementation thereof.

In the disclosure, the UE determines a CSI reporting mode according to an indication of the network device, and reports the CSI according to the mode, so as to save signaling overhead for CSI reporting and improve air interface performance.

It should be understood that the third to eighth aspects of the present disclosure are consistent with the technical solutions of the first to second aspects of the present disclosure, and the advantageous effects obtained by the various aspects and the corresponding possible embodiments are similar and will not be described again.

Drawings

Fig. 1 is a schematic structural diagram of a communication system in an embodiment of the present disclosure;

FIG. 2 is a schematic diagram of an AI structure in an embodiment of the disclosure;

fig. 3 is a schematic flowchart of an implementation flow of a method for processing UE-side CSI in the embodiment of the present disclosure;

fig. 4 is a schematic implementation flow diagram of a method for processing CSI at a network device side in the embodiment of the present disclosure;

fig. 5 is a schematic structural diagram of a CSI processing apparatus in an embodiment of the present disclosure;

fig. 6 is a schematic structural diagram of a communication device in an embodiment of the present disclosure;

fig. 7 is a schematic structural diagram of a terminal device in an embodiment of the present disclosure;

fig. 8 is a schematic structural diagram of a network device in an embodiment of the present disclosure.

Detailed Description

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with embodiments of the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the disclosed embodiments, as detailed in the appended claims.

The terminology used in the embodiments of the present disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the embodiments of the present disclosure. As used in the disclosed embodiments and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.

It should be understood that although the terms "first", "second", "third", etc. may be used in the embodiments of the present disclosure to describe various information, the information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, "first information" may also be referred to as "second information," and similarly, "second information" may also be referred to as "first information," without departing from the scope of embodiments of the present disclosure. The word "if," as used herein, may be interpreted as "at … …" or "at … …" or "in response to a determination," depending on the context.

The technical scheme provided by the embodiment of the disclosure can be applied to wireless communication among communication devices. The wireless communication between the communication devices may include: wireless communication between a network device and a terminal device, wireless communication between a network device and a network device, and wireless communication between a terminal device and a terminal device. In the embodiments of the present disclosure, the term "wireless communication" may also be simply referred to as "communication", and the term "communication" may also be described as "data transmission", "information transmission", or "transmission".

The disclosed embodiments provide a communication system. The communication system may be a communication system employing cellular mobile communication technology. Fig. 1 is a schematic structural diagram of a communication system in an embodiment of the present disclosure, and referring to fig. 1, the communication system 10 may include: terminal device 11 and network device 12.

In one embodiment, the terminal device 11 may be a device for providing voice or data connectivity to a user. In some embodiments, a terminal device may also be referred to as a User Equipment (UE), a mobile station (mobile station), a subscriber unit (subscriber unit), a station (station), a Terminal (TE), or the like. The terminal device may be a cellular phone (cellular phone), a Personal Digital Assistant (PDA), a wireless modem (modem), a handheld device (hand-held), a laptop computer (laptop computer), a cordless phone (cordless phone), a Wireless Local Loop (WLL) station, a tablet (pad), or the like. With the development of wireless communication technology, devices that can access a communication system, can communicate with a network side of the communication system, or communicate with other devices through the communication system are all terminal devices in the embodiments of the present disclosure. For example, terminals and automobiles in intelligent transportation, household devices in smart homes, electric power meter reading instruments, voltage monitoring instruments, environment monitoring instruments, video monitoring instruments in intelligent complete networks, cash registers and the like in smart grid networks. In the embodiment of the present disclosure, the terminal device may communicate with the network device, and a plurality of terminal devices may also communicate with each other. The terminal device may be stationary or mobile. For example, in the following embodiments, a terminal device is taken as an example for explanation.

The network device 12 may be a device on the access network side for supporting the terminal to access the communication system. The network devices 12 may include various forms of macro base stations, micro base stations (which may also be described as small stations), relay stations, access points, and so on. In systems employing different radio access technologies, the names of network devices 12 may differ. For example, an evolved NodeB (eNB) in a 4G access technology communication system, a next generation NodeB (gNB) in a 5G access technology communication system, a Transmission Reception Point (TRP), a relay node (relay node), an Access Point (AP), and the like.

Hereinafter, some terms and techniques involved in the embodiments of the present disclosure will be briefly described.

1. AI model

AI models, which can also be described as neural network models, deep learning models, etc. The UE performs channel estimation (e.g., downlink channel estimation or uplink channel estimation) using AI models, which have different complexities and/or classes. That is, the AI model is a neural network model for channel estimation. The model information of the AI models is used to represent the complexity and/or model class of the respective AI model. For example, the complexity of the AI model may refer to the number of layers, the calculation time, and the like included in the AI model; the types of AI models may include: deep Neural Network (DNN) models, convolutional Neural Network (CNN) models, transform models, and the like. Of course, the AI model may also be a neural network model including other complexity and types, which is not specifically limited by the embodiments of the present disclosure.

In an embodiment, the complexity information and/or the category information of the AI model may be specified in a communication protocol, or may be determined according to information (such as an AI model index, an AI model parameter, and the like) issued by the network device, or may be configured by the network device for the UE, which is not specifically limited in this embodiment of the present disclosure.

In a possible implementation, the AI model may be of a non-single category and/or a non-single complexity, and may of course be of a single category and/or a single complexity, which is not specifically limited by the embodiment of the present disclosure.

2. AI processing capability of UE

AI processing capability, which may refer to the capability of a UE to process an AI model. In the embodiment of the present disclosure, the AI processing capability of the UE may be represented by AI capability information. The AI capability information may include at least one of the following parameters: the processing duration of the UE relative to a baseline model, the number of operations of the UE on a single AI model per unit time (i.e. the number of operations of the AI model per unit time), and the processing duration of the single AI model (which may be understood as the duration required for a single AI model to complete one operation). Of course, the AI processing capability of the UE may also be represented by other parameters, and correspondingly, the AI capability information may also include other parameters, which is not specifically limited in this disclosure.

In a possible implementation manner, the AI capability information used for representing the AI processing capability of the UE may be quantized processing capability, such as quantized value information, a quantized table preset in a communication protocol, and the like.

In the embodiment of the present disclosure, as the AI technology develops day by day, more and more researches begin to improve the performance of an air interface by using the AI technology, and a specific application scenario may be as follows: AI + CSI (i.e., AI-based channel state reporting), AI + beam management (i.e., AI-based beam management), and AI + positioning (i.e., AI-based positioning service).

For example, taking AI + CSI as an example, the AI technique may be used to reduce CSI reporting overhead and improve accuracy of channel estimation. Fig. 2 is a schematic diagram of an AI structure in an embodiment of the disclosure, and referring to fig. 2, in the AI + CSI, a mainstream manner is to adopt a two-sided (two-sided) AI structure. An AI-based CSI compression encoder (encoder) is arranged at the UE side, the UE measures channel information according to a reference signal (CSI-RS) of the channel state information, and then the UE compresses the CSI information by adopting an AI compression model and feeds back the compressed channel information to network equipment (such as a base station). The decompression (decoder) based on AI is arranged at the network equipment side, and the network equipment restores the channel information by using the corresponding AI decompression model, thereby reducing the signaling overhead of reporting the reference signal and the CSI.

However, in the 5G communication system, how to implement AI-based channel state reporting is an urgent technical problem to be solved.

In order to solve the above problem, an embodiment of the present disclosure provides a CSI processing method, which may be applied to the above communication system.

Fig. 3 is a schematic implementation flow diagram of a method for processing UE-side CSI in the embodiment of the present disclosure, referring to a solid line in fig. 3, where the method may include:

s301, the UE receives first indication information sent by the network equipment.

The first indication information is used for indicating a first reporting mode of CSI reporting.

In some possible embodiments, the first reporting mode may be an AI-based reporting mode or a non-AI-based reporting mode. Here, the AI-based reporting method may be understood as a method of calculating CSI by using an AI model and reporting the CSI. The non-AI based reporting mode can be understood as a mode that does not adopt an AI model to calculate CSI.

Here, the non-AI reporting method includes PMI feedback based on a codebook (codebook), which may be Type I, type II, etypei, or the like.

It should be understood that the network device may configure a CSI reporting mode for the UE according to performance requirements such as throughput and spectrum efficiency of an air interface (e.g., uu interface), and then indicate the CSI to the UE through the first indication information.

In a possible implementation manner, the first indication information may be carried in a higher layer signaling for transmission. For example, the higher layer signaling may be signaling carried by Radio Resource Control (RRC) signaling, medium Access Control (MAC) Control Element (CE), physical Uplink Shared Channel (PUSCH), physical Uplink Control Channel (PUCCH), and the like.

It should be noted that S301 may be triggered by the network device or may also be triggered by a request message (request) sent by the terminal device to the network device.

S302, the UE sends the first CSI to the network equipment at least according to the first reporting mode.

It should be understood that the UE reports the first CSI to the network device according to the indication of the network device.

In some possible embodiments, before S302, the UE determines a first AI model associated with the first reporting mode; the UE calculates the first CSI using the first AI model.

It should be understood that after receiving the first indication information of the network device through S301, the UE may determine whether to use the AI-based reporting mode or the non-AI-based reporting mode according to the indication of the network device. If the network device indicates to use the AI-based reporting mode, the UE may determine an AI model (i.e., a first AI model) associated with the AI-based reporting mode, and calculate the first CSI using the determined first AI model. And if the network equipment indicates that a non-AI-based reporting mode is used, the UE calculates the first CSI by using the codebook. Then, the UE reports the first CSI to the network equipment.

In a possible implementation manner, the UE may determine one or more first AI models according to an instruction of the network device, an AI computation capability of the UE, a communication protocol specification, and the like.

In some possible embodiments, the first indication information may be, but is not limited to, the following two cases.

First, the first indication information is used to indicate an AI-based reporting mode or a non-AI-based reporting mode. That is, the first indication information indicates a specific reporting mode. For example, the first indication information may be an indication bit (e.g., 1 bit), and when the indication bit takes the value of the first value, it indicates that the first reporting mode is an AI-based reporting mode; and when the value of the indicator bit is a second value, the first reporting mode is a non-AI-based reporting mode.

In some possible embodiments, the first indication information may be used to indicate first CSI reporting configuration information (i.e., CSI report Config), where the first CSI reporting configuration information indicates the first reporting mode.

It should be understood that the network device may indicate one CSI reporting configuration information (i.e., the first CSI reporting configuration information) to the UE, and the UE may perform CSI reporting according to a reporting mode in the first CSI reporting configuration information (i.e., the first reporting mode) according to the indication of the network device. For example, the first indication information may be index information of CSI reporting configuration information (i.e., CSI report Config index), or the first indication information may also be activation information indicating CSI reporting configuration information, and is used to indicate that specific CSI reporting configuration information is activated.

In some possible embodiments, the first CSI configuration information may indicate that CSI compressed by AI models is included in the first CSI, or the first CSI configuration information is associated with at least one AI model.

It should be understood that, if the network device reports the CSI for the UE in an AI-based reporting manner, an indication field indicating that the UE reports the CSI compressed by the AI model may be included in the first CSI configuration information. Alternatively, the first CSI configuration information is associated with at least one AI model.

Illustratively, fields such as AI-CSI and AI-PMI are set in the reporting quantity (report metrics) of the CSI report Config to instruct the UE to report the CSI in an AI-based reporting manner. Alternatively, a field indicating an AI model is added to the CSI report Config to indicate one or more AI models associated with the CSI report Config. The UE may also determine at least one AI model associated with the CSI report Config based on the specification by the communication protocol. Of course, the field names are exemplary representations for clarity and are not limiting.

In some possible embodiments, the first CSI configuration information is semi-static CSI configuration information reported through a PUCCH, and the first indication information is carried on the MAC CE.

It should be understood that CSI may be reported through PUCCH or PUSCH, and the reporting types are classified as: periodic reporting (PUCCH reporting), aperiodic reporting (PUSCH reporting), PUCCH semi-static reporting, PUSCH semi-static reporting, indicated by ReportConfig in IE CSI-ReportConfig. Then, when the first CSI configuration information indicates that the PUCCH is semi-static reported, the network device may send the first indication information to the terminal device by bearing the first indication information on the MAC CE. Then, in S301, the UE receives the MAC CE transmitted by the network device and parses the first indication information therefrom.

In a possible implementation manner, the effective time of the MAC CE is x, which is a positive integer, after the UE backs off x slots for the PDSCH including the MAC CE.

In some possible embodiments, the first indication information may also be Downlink Control Information (DCI). Then, in S302, the UE determines that the DCI satisfies a preset condition; and the UE sends the first CSI to the network equipment in a non-AI-based reporting mode.

In a possible implementation manner, the preset condition may include at least one of the following conditions: a first information field in the DCI is a first value; and scrambling the DCI by adopting a first scrambling mode.

Optionally, the first information field includes one or more information fields.

It should be understood that, after receiving the DCI from the network device, the UE determines whether the DCI satisfies a preset condition, and if the DCI satisfies the preset condition, the UE may determine that the first reporting mode is a non-AI based reporting mode.

For example, an information field (e.g., 1 bit) may be added to the DCI, and when the value of the information field is a first value, the UE may determine that the first reporting mode is a non-AI based reporting mode, and then, in S302, the UE may report the first CSI based on the non-AI based reporting mode. Or, in the case that information fields may not be added in the DCI, when one or more existing information fields are special values or a combination of special values, the UE may determine that the first reporting mode is the non-AI based reporting mode, and then in S302, the UE may report the first CSI in the non-AI based reporting mode. Furthermore, the DCI is a DCI scrambled by using a special scrambling method, and the UE may determine that the first reporting mode is a non-AI-based reporting mode, so that in S302, the UE may report the first CSI based on the non-AI-based reporting mode. Here, the special scrambling scheme may be a fallback-radio network temporary identity (FB-RNTI). Furthermore, the DCI is a DCI scrambled by using a special scrambling scheme, and when one or more existing information fields are special values or a combination of special values, the UE may determine that the first reporting mode is a non-AI based reporting mode. Furthermore, the DCI is a DCI scrambled by using a special scrambling method, and a value of an information field newly added in the DCI is a first value, and the UE may determine that the first reporting method is a non-AI based reporting method. Of course, the above is only a partial example of the first indication information, and the embodiment of the first indication information is not limited.

It should be noted that, before the UE receives S301, if the AI-based reporting mode is used for CSI reporting, the first reporting mode indicated by S301 is a non-AI-based reporting mode, which may be understood as that the network device indicates the UE to perform a fallback (fallback) operation.

In some possible embodiments, the method may further include: s303, the UE sends a CSI report switching request message to the network equipment so as to request the network equipment to switch to the first reporting mode. Then, in S301, the network device sends first indication information to the UE, where the first indication information may be used to indicate whether to confirm the CSI reporting switching request sent by the UE, and may also be understood as whether the first indication information is used to indicate whether the network device allows the UE to use the CSI reporting mode requested by the CSI reporting switching request message, that is, the first reporting mode reports CSI. As indicated by the dashed line in fig. 3, step 303 may be performed before step 301; of course, this is only an exemplary illustration, and the execution order of these two steps is not limited in the embodiments of the present disclosure.

For example, the first indication information may be an indication bit (for example, 1 bit), and when the value of the indication bit is a first value, the indication bit indicates that a CSI reporting mode requested by a CSI reporting switching request message sent by the UE is confirmed, or the indication bit may be understood as a CSI reporting mode requested by the CSI reporting switching request message that the network device allows the UE to use; when the value of the indicator bit is the second value, it indicates that the CSI reporting mode requested by the CSI reporting switching request message sent by the UE is not confirmed, and it can also be understood that the network device does not allow the UE to use the CSI reporting mode requested by the CSI reporting switching request message.

In some possible embodiments, the first indication information may also be DCI. Then, in S302, the UE determines that the DCI satisfies a preset condition; and the UE sends the first CSI to the network equipment in a first reporting mode. Here, the first reporting mode is a CSI reporting mode requested by a CSI reporting switching request message that is newly transmitted by the UE.

In a possible implementation manner, the preset condition may include at least one of the following: a first information field in the DCI is a first value; and scrambling the DCI by adopting a first scrambling mode.

It should be understood that the UE requests the network device to report the CSI in the first reporting manner through S303, and then, after receiving the DCI from the network device through S301, the UE determines whether the DCI satisfies the preset condition, and if the DCI satisfies the preset condition, the UE may report the CSI in the CSI reporting manner requested by the latest CSI reporting switching request message, that is, the CSI in the first reporting manner.

For example, an information field (e.g., 1 bit) may be added to the DCI, and when the value of the information field is a first value, the UE may determine to report the CSI by using a CSI reporting mode requested by a CSI reporting switching request message that is sent newly. Or, under the condition that the information fields may not be added in the DCI, when one or more existing information fields are special values or a combination of special values, the UE may determine to report the CSI by using the CSI reporting mode requested by the CSI report handover request message that is newly transmitted. Furthermore, the DCI is a DCI scrambled by a special scrambling method, and the UE may determine to report the CSI by using a CSI reporting method requested by the CSI report switch request message that is newly transmitted. Here, the special scrambling scheme may be FB-RNTI. Furthermore, the DCI is a DCI scrambled by using a special scrambling method, and when one or more existing information fields are special values or a combination of special values, the UE may determine to report the CSI by using a CSI reporting method requested by a CSI report handover request message that is newly transmitted. Furthermore, the DCI is the DCI scrambled by adopting a special scrambling mode, and the value of an information domain newly added in the DCI is a first value, so that the UE can determine to report the CSI by adopting a CSI reporting mode requested by a newly sent CSI reporting switching request message. Of course, the above is only a partial example of the first indication information, and the embodiment of the first indication information is not limited.

Second, the first indication information includes parameter information of a first AI model, and the first reporting mode is an AI-based reporting mode.

It should be understood that the network device may indicate the specific AI model to the UE, so as to indicate to the UE that the first reporting mode is an AI-based reporting mode.

In some possible embodiments, the parameter information of the first AI model is index information (i.e., AI mode index) of the first AI model. The UE can determine a specific AI model according to the index information, and then calculate the first CSI by using the AI model and report the first CSI to the network equipment.

In some possible embodiments, the UE may support computing CSI using multiple AI models, depending on network device configuration, communication protocol specifications, and the like. Then, the network device may also send second indication information to the UE according to the requirements of air interface performance, application scenarios, and the like, so as to indicate the activation state of one or more of the multiple AI models (i.e., the second AI mode). As such, the UE may determine to calculate CSI using the second AI model according to the second indication information. For example, the second indication information may be a bitmap (bitmap) of index information of the second AI model.

Then, the above S302 may further include: and the UE sends the first CSI to the network equipment according to the first reporting mode and the activation state of the second AI model.

It should be understood that the UE determines the first reporting mode according to the first indication information. And if the first reporting mode is an AI-based reporting mode and the second AI model is in an activated state, the UE reports the first CSI to the network equipment by adopting the second AI-based reporting mode. And if the first reporting mode is an AI-based reporting mode and the second AI model is in an inactive state, the UE reports the first CSI in a non-AI-based reporting mode, or the UE does not report the CSI to the network equipment.

In an embodiment, if the UE determines to report the first CSI to the network device based on the second AI model, the UE may calculate the first CSI using the second AI model and report the first CSI to the network device.

It should be noted that, in the foregoing process, the first AI model and the second AI model may be the same AI model or different AI models, which is not specifically limited in this disclosure.

In the embodiment of the present disclosure, the AI + CSI is taken as an example for explanation in the embodiment of the present disclosure. In a possible implementation manner, the CSI processing method can also be applied to other AI-based air interface enhancement scenes such as AI + beam management, AI + positioning and the like. For a specific CSI processing method, reference may be made to the specific description in the foregoing embodiments, which is not described herein again.

In the embodiment of the disclosure, the UE determines a CSI reporting mode according to an indication of the network device, and reports the CSI according to the mode, so as to save signaling overhead of CSI reporting and improve air interface performance.

In some possible embodiments, fig. 4 is an implementation flow diagram of a method for processing CSI at a network device side in this disclosure, referring to a solid line in fig. 4, where the method may include:

s401, the network equipment configures a first reporting mode of CSI for the UE.

S402, the network equipment sends first indication information to the UE.

The first indication information is used for indicating a first reporting mode of CSI reporting;

s403, the network device receives the first CSI sent by the UE at least according to the first reporting mode.

In some possible embodiments, the first indication information is DCI meeting a preset condition, and the first reporting mode is a non-AI based reporting mode.

In some possible embodiments, the preset condition comprises at least one of: a first information field in the DCI is a first value; and scrambling the DCI by adopting a first scrambling mode.

In some possible embodiments, referring to the dashed line in fig. 4, before S402, the method further includes: s404, the network equipment receives a CSI report switching request message sent by the UE, and the CSI report switching request message is used for requesting to switch to a first reporting mode.

It should be noted that when the network device executes S401 and S404, the network device may select to execute the first reporting mode, that is, the network device may configure the first reporting mode by itself as the UE, or the UE may request the first reporting mode from the network device.

In some possible embodiments, in response to the CSI reporting handover request message, the first indication information is DCI satisfying a preset condition.

In some possible embodiments, the preset condition includes at least one of: a first information field in the DCI is a first value; and scrambling the DCI by adopting a first scrambling mode.

It should be noted that the one or more information fields may be newly added fields in the DCI, or may also be original information fields in the DCI, which is not specifically limited in this embodiment of the present disclosure. The first indication information is DCI scrambled by adopting a first scrambling mode. For example, the first scrambling scheme may be FB-RNTI.

In some possible embodiments, the method further comprises: and the network equipment sends second indication information to the UE, wherein the second indication information is used for indicating the activation state of the second AI model, and the activation state of the second AI model is used for indicating the UE to determine the reporting mode of the first CSI.

It should be noted that, for the implementation process of the UE side in fig. 3, the method execution process of the network device side may be referred to, and for brevity of the description, detailed description is not repeated here.

In the embodiment of the disclosure, the network device indicates the reporting mode of the CSI to the UE, so that the UE can report the CSI according to the mode, thereby saving signaling overhead for reporting the CSI and improving the performance of the air interface.

Based on the same inventive concept, an embodiment of the present disclosure provides a CSI processing apparatus, fig. 5 is a schematic structural diagram of the CSI processing apparatus in the embodiment of the present disclosure, and referring to fig. 5, the processing apparatus 500 may include: a processing module 501, a receiving module 502 and a sending module 503.

In some possible embodiments, the processing apparatus 500 may be a terminal device in a communication system or a chip or a system on a chip in the terminal device, and may also be a functional module in the terminal device for implementing the methods of the foregoing embodiments. The processing device 500 may implement the functions performed by the terminal device in the embodiments described above, and these functions may be implemented by executing corresponding software through hardware. These hardware or software include one or more functionally corresponding modules.

Correspondingly, the receiving module 502 is further configured to receive first indication information sent by the network device, where the first indication information is used to indicate a first reporting mode for reporting the CSI; a sending module 503, configured to send the first CSI to the network device at least according to the first reporting mode.

In some possible embodiments, the apparatus 500 further includes: the processing module 501 is configured to determine a first AI model associated with the first reporting mode, and calculate the first CSI using the first AI model.

In some possible embodiments, the first indication information is DCI; the sending module 503 is further configured to determine that the DCI satisfies the preset condition, and send the first CSI to the network device in a non-AI-based reporting manner.

In some possible embodiments, the receiving module 502 is further configured to receive a CSI reporting switching request message sent by the terminal device, where the CSI reporting switching request message is used to request to switch to the first reporting mode.

In some possible embodiments, the receiving module 502 is further configured to receive second indication information sent by the network device, where the second indication information is used to indicate an activation state of the second AI model; the sending module 503 is further configured to send the first CSI to the network device according to the first reporting mode and the activation state of the second AI model.

In some possible implementations, the processing module 501 is further configured to: determining that the first reporting mode is an AI-based reporting mode and the second AI model is in an activated state; calculating the first CSI according to the second AI model; a transmitting module 503, further configured to transmit the first CSI to the network device.

In some possible implementations, the processing module 501 is further configured to: determining that the first reporting mode is an AI-based reporting mode and the second AI model is in an inactive state; the sending module 503 is further configured to send the first CSI to the network device in a non-AI based reporting manner.

In some possible embodiments, the sending module 503 is further configured to not send CSI to the network device.

In other possible embodiments, the processing apparatus 500 may be a network device in a communication system or a chip or a system on a chip in a network device, and may also be a functional module in a network device for implementing the methods of the foregoing embodiments. The processing device 500 may implement the functions performed by the network device in the embodiments described above, and these functions may be implemented by executing corresponding software through hardware. These hardware or software include one or more functionally corresponding modules.

Correspondingly, the processing module 501 is configured to configure a first reporting mode of CSI for the terminal device; a sending module 503, configured to send first indication information to a terminal device, where the first indication information is used to indicate a first reporting mode for CSI reporting; the receiving module 502 is configured to receive the first CSI sent by the terminal device at least according to the first reporting mode.

In some possible embodiments, the sending module 503 is further configured to send second indication information to the terminal device, where the second indication information is used to indicate an activation state of the second AI model, and the activation state of the second AI model is used to indicate that the terminal device determines a reporting mode of the first CSI.

It should be noted that, for specific implementation processes of the processing module 501, the receiving module 502, and the sending module 503, reference may be made to detailed descriptions of the UE and the network device in the embodiments of fig. 3 to fig. 4, and for brevity of the description, no further description is given here.

The receiving module 502 mentioned in the embodiments of the present disclosure may be a receiving interface, a receiving circuit, a receiver, or the like, and the transmitting module 503 may be a transmitting interface, a transmitting circuit, a transmitter, or the like; the processing module 501 may be one or more processors.

Based on the same inventive concept, the embodiments of the present disclosure provide a communication device, which may be the network device or the terminal device described in one or more of the above embodiments. Fig. 6 is a schematic structural diagram of a communication device in an embodiment of the present disclosure, and referring to fig. 6, a communication device 60 employs general computer hardware, and includes a processor 61, a memory 62, a bus 63, an input device 64, and an output device 65.

In some possible implementations, the memory 62 may include computer storage media in the form of volatile and/or nonvolatile memory such as read only memory and/or random access memory. Memory 62 may store an operating system, application programs, other program modules, executable code, program data, user data, and the like.

Input device 64 may be used to enter commands and information into the communication device, input device 64 such as a keyboard or pointing device, such as a mouse, trackball, touch pad, microphone, joystick, game pad, satellite dish, scanner, or the like. These input devices may be connected to the processor 61 by a bus 63.

Output device 65 may be used for communication device output information, and in addition to a monitor, output device 65 may also be provided as other peripheral outputs, such as speakers and/or a printing device, which may also be connected to processor 61 via bus 63.

The communication device may be connected to a network, such as a Local Area Network (LAN), via an antenna 66. In a networked environment, computer-executable instructions stored in the control device may be stored in the remote memory storage device and are not limited to local storage.

When the processor 61 in the communication device executes the executable code or the application program stored in the memory 62, the communication device executes the CSI processing method on the terminal device side or the network device side in the above embodiments, and for a specific execution process, reference is made to the above embodiments, and details are not described here.

Further, the memory 62 stores therein computer-executable instructions for implementing the functions of the processing module 501, the receiving module 502, and the transmitting module 503 in fig. 5. The functions/implementation processes of the processing module 501, the receiving module 502 and the sending module 503 in fig. 5 can be implemented by the processor 61 in fig. 6 calling a computer executing instruction stored in the memory 62, and the specific implementation processes and functions refer to the above related embodiments.

Based on the same inventive concept, the disclosed embodiments provide a terminal device, which is consistent with the terminal device in one or more embodiments described above. Alternatively, the terminal device may be a mobile phone, a computer, a digital broadcast terminal device, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, or the like.

Fig. 7 is a schematic structural diagram of a terminal device in an embodiment of the present disclosure, and referring to fig. 7, the terminal device 70 may include one or more of the following components: processing components 71, memory 72, power components 73, multimedia components 74, audio components 75, interfaces for input/output (I/O) 76, sensor components 77, and communication components 78.

The processing component 71 generally controls the overall operation of the terminal device 70, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing components 71 may include one or more processors 711 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 71 may include one or more modules that facilitate interaction between the processing component 71 and other components. For example, the processing component 71 may include a multimedia module to facilitate interaction between the multimedia component 74 and the processing component 71.

Memory 72 is configured to store various types of data to support operation at terminal device 70. Examples of such data include instructions for any application or method operating on terminal device 70, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 72 may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.

The power supply component 73 provides power to the various components of the terminal device 70. Power components 73 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for terminal device 70.

The multimedia component 74 includes a screen providing an output interface between the terminal device 70 and the user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 74 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the terminal device 70 is in an operation mode, such as a photographing mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

The audio component 75 is configured to output and/or input audio signals. For example, the audio component 75 includes a Microphone (MIC) configured to receive an external audio signal when the terminal device 70 is in an operation mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 72 or transmitted via the communication component 78. In some embodiments, audio assembly 75 also includes a speaker for outputting audio signals.

The I/O interface 76 provides an interface between the processing component 71 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.

The sensor assembly 77 includes one or more sensors for providing various aspects of status assessment for the terminal device 70. For example, sensor component 77 may monitor the open/closed status of terminal device 70, the relative positioning of components, such as the display and keypad of terminal device 70, sensor component 77 may also detect a change in the position of terminal device 70 or a component of terminal device 70, the presence or absence of user contact with terminal device 70, the orientation or acceleration/deceleration of terminal device 70, and a change in the temperature of terminal device 70. The sensor assembly 77 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 77 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 77 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

Communication component 78 is configured to facilitate wired or wireless communication between terminal device 70 and other devices. Terminal device 70 may access a wireless network that employs a communication standard such as Wi-Fi, 2G, 3G, 4G, or 5G, or a combination thereof. In an exemplary embodiment, the communication component 78 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 78 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, ultra Wideband (UWB) technology, bluetooth (BT) technology, and other technologies may be used in the NFC module.

In an exemplary embodiment, the terminal device 70 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors, or other electronic components for performing the above-described methods.

With the same inventive concept, the embodiments of the present disclosure provide a network device, which is consistent with the network device in one or more embodiments described above.

Fig. 8 is a schematic structural diagram of a network device in an embodiment of the present disclosure, and referring to fig. 8, a network device 80 may include a processing component 81, which further includes one or more processors, and memory resources represented by a memory 82 for storing instructions executable by the processing component 81, such as an application program. The application programs stored in memory 82 may include one or more modules that each correspond to a set of instructions. Furthermore, the processing component 81 is configured to execute instructions to perform any of the methods of the preceding methods applied at the network device.

Network device 80 may also include a power component 83 configured to perform power management of network device 80, a wired or wireless network interface 84 configured to connect network device 80 to a network, and an input output (I/O) interface 85. The network device 80 may operate using an operating system stored in memory 82, such as Windows Server (TM), mac OS XTM, unixTM, linuxTM, freeBSDTM, or the like.

Based on the same inventive concept, the embodiment of the present disclosure further provides a computer-readable storage medium, in which instructions are stored; when the instructions are run on a computer, the instructions are used for executing the CSI processing method on the terminal device side or the network device side in one or more embodiments.

With the same inventive concept, the embodiments of the present disclosure also provide a computer program or a computer program product, which, when executed on a computer, enables the computer to implement the method for processing CSI on the terminal device side or the network device side in one or more of the above embodiments.

Other embodiments of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the invention and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the invention being indicated by the following claims.

It will be understood that the invention is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.

Claims

1. A method for processing channel state information comprises the following steps:

the method comprises the steps that terminal equipment receives first indication information sent by network equipment, wherein the first indication information is used for indicating a first reporting mode of Channel State Information (CSI) reporting;

and the terminal equipment sends first CSI to the network equipment at least according to the first reporting mode.

2. The method of claim 1, wherein the first reporting mode is an Artificial Intelligence (AI) -based reporting mode or a non-AI-based reporting mode.

3. The method of claim 1, wherein the method further comprises:

the terminal equipment determines a first AI model associated with the first reporting mode;

and the terminal equipment calculates the first CSI by using the first AI model.

4. The method of claim 1, wherein the first indication information is used for indicating first CSI reporting configuration information, and the first CSI reporting configuration information indicates the first reporting mode.

5. The method of claim 4, wherein the first CSI configuration information indicates that CSI compressed by AI models is included in the first CSI or the first CSI configuration information is associated with at least one AI model.

6. The method of claim 5, wherein the first CSI configuration information is semi-static CSI configuration information reported through a Physical Uplink Control Channel (PUCCH), and the first indication information is carried in a control unit of a multimedia access control layer.

7. The method of claim 1, wherein the first indication information is downlink control information; the terminal device sends the first CSI to the network device according to the first reporting mode, including:

the terminal equipment determines that the downlink control information meets a preset condition;

and the terminal equipment sends the first CSI to the terminal equipment in a non-AI-based reporting mode.

8. The method of claim 7, wherein the preset condition comprises at least one of:

a first information field in the downlink control information is a first value;

and scrambling the downlink control information by adopting a first scrambling mode.

9. The method of claim 8, wherein the first information field comprises one or more information fields.

10. The method of claim 1, wherein the method further comprises:

and the terminal equipment sends a CSI reporting switching request message to the network equipment, wherein the CSI switching request message is used for requesting to switch to the first reporting mode.

11. The method of claim 10, wherein in response to the CSI reporting handover request message, the first indication information is downlink control information;

the method for the terminal device to send the first CSI to the network device according to the first reporting mode includes:

and the terminal equipment sends the first CSI to the network equipment in the first reporting mode, wherein the first reporting mode is a CSI reporting mode requested by a CSI reporting switching request message which is newly sent by the terminal equipment.

12. The method of claim 1, wherein the first indication information includes parameter information of a first AI model, and the first reporting mode is an AI-based reporting mode.

13. The method of claim 12, wherein the parameter information of the first AI model is index information of the first AI model.

14. The method of claim 1, wherein the method further comprises:

the terminal equipment receives second indication information sent by the network equipment, wherein the second indication information is used for indicating the activation state of a second AI model;

the terminal device sends the first CSI to the network device at least according to the first reporting mode, including:

and the terminal equipment sends first CSI to the network equipment according to the first reporting mode and the activation state of the second AI model.

15. The method of claim 14, wherein the method further comprises:

the terminal equipment determines that the first reporting mode is an AI-based reporting mode, and the second AI model is in an activated state;

and the terminal equipment calculates the first CSI according to the second AI model.

16. The method of claim 14, wherein the sending, by the terminal device, the first CSI to the network device according to the first reporting mode and the activation state of the second AI model includes:

the terminal equipment determines that the first reporting mode is an AI-based reporting mode, and the second AI model is in an inactive state;

and the terminal equipment sends the first CSI to the network equipment in a non-AI-based reporting mode.

17. The method of claim 16, wherein the method further comprises:

the terminal device does not send CSI to the network device.

18. A method for processing channel state information comprises the following steps:

the method comprises the steps that network equipment configures a first reporting mode of Channel State Information (CSI) for terminal equipment;

the network equipment sends first indication information to the terminal equipment, wherein the first indication information is used for indicating a first reporting mode of CSI reporting;

and the network equipment receives the first CSI sent by the terminal equipment at least according to the first reporting mode.

19. The method of claim 18, wherein the first reporting mode is an Artificial Intelligence (AI) -based reporting mode or a non-AI-based reporting mode.

20. The method of claim 18, wherein the first indication information is used for indicating first CSI reporting configuration information, and the first CSI reporting configuration information indicates the first reporting mode.

21. The method of claim 20, wherein the first CSI configuration information indicates that CSI compressed using AI models is included in the first CSI or the first CSI configuration information is associated with at least one AI model.

22. The method of claim 21, wherein the first CSI configuration information is semi-static CSI configuration information reported through a Physical Uplink Control Channel (PUCCH), and the first indication information is carried in a control unit of a multimedia access control layer.

23. The method of claim 18, wherein the first indication information is downlink control information satisfying a predetermined condition, and the first reporting mode is a non-AI based reporting mode.

24. The method of claim 23, wherein the preset condition comprises at least one of: a first information field in the downlink control information is a first value; and scrambling the downlink control information by adopting a first scrambling mode.

25. The method of claim 24, wherein the first information field comprises one or more information fields.

26. The method of claim 18, wherein the method further comprises:

and the network equipment receives a CSI reporting switching request message sent by the terminal equipment, wherein the CSI switching request message is used for requesting to switch to the first reporting mode.

27. The method of claim 26, wherein in response to the CSI reporting handover request message, the first indication information is downlink control information satisfying a preset condition.

28. The method of claim 18, wherein the first indication information includes parameter information of a first AI model, and the first reporting mode is an AI-based reporting mode.

29. The method of claim 28, wherein the parameter information of the first AI model is index information of the first AI model.

30. The method of claim 18, wherein the method further comprises:

and the network equipment sends second indication information to the terminal equipment, wherein the second indication information is used for indicating the activation state of a second AI model, and the activation state of the second AI model is used for indicating the terminal equipment to determine the reporting mode of the first CSI.

31. An apparatus for processing channel state information, comprising:

the system comprises a receiving module, a sending module and a receiving module, wherein the receiving module is configured to receive first indication information sent by network equipment, and the first indication information is used for indicating a first reporting mode of CSI (channel state information) reporting;

a sending module configured to send first CSI to the network device at least according to the first reporting mode.

32. The apparatus of claim 31, wherein the first reporting mode is an Artificial Intelligence (AI) -based reporting mode or a non-AI-based reporting mode.

33. The apparatus of claim 31, wherein the apparatus further comprises: a processing module configured to: determining a first AI model associated with the first reporting mode; calculating the first CSI using the first AI model.

34. An apparatus for processing channel state information, comprising:

the processing module is configured to configure a first reporting mode of Channel State Information (CSI) for the terminal equipment;

a sending module, configured to send first indication information to the terminal device, where the first indication information is used to indicate a first reporting mode for CSI reporting;

and the receiving module is configured to receive the first CSI sent by the terminal device at least according to the first reporting mode.

35. The apparatus of claim 34, wherein the first reporting mode is an Artificial Intelligence (AI) -based reporting mode or a non-AI-based reporting mode.

36. A communication device, comprising:

an antenna;

a memory;

a processor, coupled to the antenna and the memory, respectively, configured to control the transceiving of the antenna by executing computer-executable instructions stored on the memory, and to implement the method of any of claims 1 to 30.

37. A computer-readable storage medium having computer-executable instructions stored thereon which, when executed by a processor, are capable of implementing the method of any one of claims 1 to 30.