CN117856947A

CN117856947A - CSI compression model indication method and communication device

Info

Publication number: CN117856947A
Application number: CN202410192430.1A
Authority: CN
Inventors: 钟海静
Original assignee: Honor Device Co Ltd
Current assignee: Honor Device Co Ltd
Priority date: 2024-02-21
Filing date: 2024-02-21
Publication date: 2024-04-09

Abstract

The application provides a CSI compression model indication method and a communication device, which are beneficial to reducing the expenditure of CSI feedback. Wherein the method comprises the following steps: based on the model capability information, the terminal equipment downloads M CSI compression models from a model management platform, wherein M is a positive integer greater than or equal to 1; reporting model identifiers of M CSI compression models supported by the terminal equipment to the network equipment through the capability information under the condition that the M CSI compression models pass the digital signature verification; the network equipment determines a first CSI compression model from the M CSI compression models based on the current communication scene of the terminal equipment, and indicates a model identification of the first CSI compression model to the terminal equipment, so that the terminal equipment can feed back the CSI to the network equipment based on the first CSI compression model.

Description

CSI compression model indication method and communication device

Technical Field

The present disclosure relates to the field of communications technologies, and in particular, to a CSI compression model indication method and a communications device.

Background

In the fifth generation (5 ^th -generation, 5G) communication system, the terminal device may feed back the downlink channel quality to the network device, e.g. by means of channel state information (channel state information, CSI). Under the condition that the network equipment receives the CSI, beam management, mobility management, rate matching and other processes can be performed according to the CSI so as to improve the communication quality.

Large-scale multiple-input multiple-output (MIMO) technology further improves the reliability and capacity of 5G communication systems by deploying large-scale antenna arrays at the base station. As large-scale antenna arrays increase, the overhead of CSI feedback increases. Therefore, how to reduce the overhead of CSI feedback is a technical problem to be solved.

Disclosure of Invention

The application provides a CSI compression model indication method and a communication device, wherein a network device indicates a CSI compression model to a terminal device, so that the terminal device can feed back CSI based on the indicated CSI compression model, and the expense of CSI feedback can be reduced.

In a first aspect, the present application provides a communication method, which may be performed by a terminal device, or by an apparatus, such as a processor or a chip, that is adapted to the terminal device. The method may include: downloading M CSI compression models from a model management platform based on model capability information of terminal equipment, wherein M is a positive integer greater than or equal to 1; transmitting capability information to the network device in response to the M CSI compression models passing digital signature verification, wherein the capability information comprises model identifications of the M CSI compression models, and the M CSI compression models are CSI compression models supported by the terminal device; and receiving model indication information from the network equipment, wherein the model indication information is used for indicating a first CSI compression model, and the M CSI compression models comprise the first CSI compression model, and the first CSI compression model is matched with the current communication scene of the terminal equipment.

The terminal equipment downloads M CSI compression models supported by the terminal equipment and reports the model identifiers of the M CSI compression models to the network equipment, so that the network equipment indicates a first CSI compression model matched with the current communication scene of the terminal equipment to the terminal equipment, the terminal equipment can feed back the CSI based on the first CSI compression model, and the expense of CSI feedback can be reduced. The first CSI compression model is matched with the current communication scene of the terminal equipment, so that the CSI fed back based on the first CSI compression model can truly reflect the channel state of the current communication scene, further, the performance of the network equipment in beam management, mobility management, rate matching and the like can be improved, and the communication quality of the current communication scene can be improved. The network device indicates the CSI compression model matched with the current communication scene of the terminal device, and the network device can dynamically indicate the CSI compression model. The network equipment indicates the first CSI compression model, and adopts the CSI compression recovery model corresponding to the first CSI compression model to process the CSI, so that the decoding efficiency of the network equipment can be improved, and the communication performance can be ensured.

In one possible implementation, for any CSI compression model of the M compression models, any CSI compression model includes model information, which includes one or more of model identification, model overhead information, model applicable speed information, and model deployment information. That is, the CSI compression models are distinguished by using the model information, and different CSI compression models have different model information, so that the network device is facilitated to determine an appropriate CSI compression model based on the current communication scenario of the terminal device, and thus the feedback overhead of CSI can be reduced.

The model identifier corresponds to a model Identifier (ID) and is used for identifying the CSI compression model. The model overhead information indicates the number of CSI reporting bits, i.e., the number of CSI reporting bits corresponding to the CSI compression model. That is, for a CSI compression model, the number of bits occupied by CSI is based on when it reports CSI. The model applicable speed information indicates an applicable speed section, i.e., an applicable speed section corresponding to the CSI compression model. That is, for a CSI compression model, it can work more precisely in which speed interval, and can reflect the channel state more precisely. The model deployment information indicates deployment on the terminal device or on the network device. For a CSI compression model, the model deployment information indicates that the CSI compression model is deployed at the terminal device side. The model deployment information of a certain CSI compression model indicates deployment on the terminal equipment side, so that the network equipment side needs to deploy a CSI compression recovery model corresponding to the CSI compression model, and the CSI fed back by the terminal equipment based on the CSI compression model can be correctly decoded.

In one possible implementation manner, when downloading M CSI compression models from the model management platform based on the model capability information of the terminal device, the M CSI compression models may be downloaded from the model management platform based on the model capability information of the terminal device and the model identifier of K CSI compression recovery models, where K is a positive integer greater than or equal to 1. The K CSI compression recovery models are CSI compression recovery models supported by the network equipment. That is, the terminal device downloads M CSI compression models from the model management platform based on the model capability information and the CSI compression recovery model supported by the network device, where the M CSI compression model information is the CSI compression model supported by the terminal device and is also the CSI compression model corresponding to the CSI compression recovery model supported by the network device. Therefore, the network equipment can rapidly and accurately decode the CSI fed back by the terminal equipment by using the corresponding CSI compression recovery model.

In one possible implementation, before downloading the M CSI compression models from the model management platform based on the model capability information of the terminal device and the model identities of the K CSI compression recovery models, the terminal device receives the model identities of the K CSI compression recovery models from the network device, the model identity of one CSI compression model corresponding to the model identity of one CSI compression recovery model. That is, one CSI compression model at the terminal device side corresponds to one CSI compression recovery model at the network device side, the terminal device feeds back CSI based on the CSI compression model, and the network device decodes CSI based on the CSI compression recovery model. The network equipment informs the terminal equipment of the model identification of the supported CSI compression recovery model, so that the terminal equipment downloads the CSI compression model supported by the terminal equipment and the network equipment when downloading the CSI compression model, and the network equipment can rapidly and accurately decode the CSI fed back by the terminal equipment by using the corresponding CSI compression recovery model.

In one possible implementation, the model capability information of the terminal device includes a model identification of the CSI compression model supported by the terminal device and/or a model processing capability of the terminal device. That is, the terminal device may download the CSI compression model from the model management platform based on the model identification of the CSI compression model that it supports, and/or may download the CSI compression model from the model management platform based on its model processing capabilities. Model processing capabilities may include, but are not limited to, computing, storage, co-processing, and the like capabilities. Therefore, the terminal equipment can feed back the CSI by using the downloaded CSI compression model, and the feedback overhead of the CSI can be reduced.

In one possible implementation, the model indication information is carried in downlink control information (downlink control information, DCI) or a medium access control-control element (media access control-control element, MAC-CE). That is, the network device indicates the model identification of the first CSI compression model to the terminal device through DCI or MAC-CE.

In a second aspect, the present application provides a communication method that may be performed by a network device, or by an apparatus, such as a processor or chip, that is compatible with the network device. The method may include: receiving capability information from terminal equipment, wherein the capability information comprises model identifiers of M CSI compression models, the M CSI compression models are CSI compression models supported by the terminal equipment, and M is an integer greater than or equal to 1; determining a first CSI compression model from M CSI compression models based on the current communication scene of the terminal equipment; and sending model indication information to the terminal equipment, wherein the model indication information is used for indicating the model identification of the first CSI compression model.

The terminal equipment reports the model identification of the supported CSI compression model through the capability information, so that the network equipment indicates the first CSI compression model matched with the current communication scene of the terminal equipment to the terminal equipment, the terminal equipment can feed back the CSI based on the first CSI compression model, and the expense of the CSI feedback can be reduced. The first CSI compression model is matched with the current communication scene of the terminal equipment, so that the CSI fed back based on the first CSI compression model can truly reflect the channel state of the current communication scene, further, the performance of the network equipment in beam management, mobility management, rate matching and the like can be improved, and the communication quality of the current communication scene can be improved. The network device indicates the CSI compression model matched with the current communication scene of the terminal device, and the network device can dynamically indicate the CSI compression model. The network equipment indicates the first CSI compression model, and adopts the CSI compression recovery model corresponding to the first CSI compression model to process the CSI, so that the decoding efficiency of the network equipment can be improved, and the communication performance can be ensured.

In one possible implementation, the network device receives the capability information, and downloads M CSI compression recovery models from the model management platform based on the model identifiers of the M CSI compression models included in the capability information, where the model identifier of one CSI compression model corresponds to the model identifier of one CSI compression recovery model. That is, the network device downloads, from the model management platform, the CSI compression recovery model corresponding to the CSI compression model supported by the terminal device. Thus, the network equipment is convenient to decode the CSI reported by the terminal equipment.

In one possible implementation manner, after the network device downloads M CSI compression recovery models from the model management platform, digital signature verification is performed on the M CSI compression recovery models, and after the M CSI compression recovery models pass the digital signature verification, the step of determining the first CSI compression model is performed, or the step of sending the model indication information to the terminal device is performed. And carrying out digital signature verification on the M CSI compression recovery models to ensure the safety of the M CSI compression recovery models.

In one possible implementation, the storage device (i.e., the local storage device) of the network device includes a series of CSI compression recovery models, and when the network device receives the capability information, the network device obtains CSI compression recovery models corresponding to the M CSI compression models from the storage device, where a model identifier of one CSI compression model corresponds to a model identifier of one CSI compression recovery model. That is, the network device itself is provided with a series of CSI compression recovery models that have contracted with the model management platform, and M CSI compression recovery models may be extracted in case of receiving the capability information, so as to determine the first CSI compression model based on the current communication scenario of the terminal device.

In one possible implementation, in response to the current communication scenario of the terminal device being a high mobility scenario, determining a first CSI compression model supporting the high mobility scenario from the M CSI compression models; or, in response to the current communication scene of the terminal equipment being a low-mobility scene, determining a first CSI compression model supporting the low-mobility scene from M CSI compression models; or, in response to the current communication scene of the terminal device being an indoor communication mobile scene, determining a first CSI compression model supporting the indoor communication scene from the M CSI compression models. That is, the network device may determine and indicate different CSI compression models based on different communication scenarios, and may implement dynamic indication of CSI compression models by the network device. The indicated CSI compression model is matched with the communication scene, so that the channel state of the communication scene can be truly reflected based on the CSI fed back by the indicated CSI compression model, further, the performance of the network equipment in beam management, mobility management, rate matching and the like can be improved, and the communication quality of the communication scene can be improved.

In one possible implementation, before receiving the capability information from the terminal device, the network device may send, to the terminal device, model identifiers of K CSI compression recovery models, where K is a positive integer greater than or equal to 1, and the K CSI compression recovery models are CSI compression recovery models supported by the network device. The network device transmits the model identification of the supported CSI compression recovery model to the terminal device, so that the terminal device downloads the CSI compression model from the model management platform based on the model capacity information and the model identification of the supported CSI compression recovery model. Thus, the CSI compression model downloaded by the terminal equipment is not only the CSI compression model supported by the terminal equipment, but also the CSI compression model corresponding to the CSI compression recovery model supported by the network equipment.

In one possible implementation, the model indication information is carried in DCI or MAC-CE. That is, the network device indicates the model identification of the first CSI compression model to the terminal device through DCI or MAC-CE.

In one possible implementation, for any CSI compression model, it includes model information including one or more of model identification, model overhead information, model applicable speed information, and model deployment information.

The model identifier corresponds to a model Identifier (ID) and is used for identifying the CSI compression model. The model overhead information indicates the number of CSI reporting bits, i.e., the number of CSI reporting bits corresponding to the CSI compression model. The model applicable speed information indicates an applicable speed section, i.e., an applicable speed section corresponding to the CSI compression model. The model deployment information indicates deployment on the network device.

In one possible implementation, for any CSI compression recovery model, it also includes model information, which includes one or more of model identification, model applicable speed information, and model deployment information.

The model identifier corresponds to a model Identifier (ID) and is used for identifying the CSI compression recovery model. The model applicable speed information indicates an applicable speed section, namely an applicable speed section of the CSI compression model corresponding to the CSI compression recovery model. The model deployment information indicates deployment on the terminal device or on the network device. If a certain CSI compression model is deployed on the terminal device, a CSI compression recovery model corresponding to the CSI compression model is deployed on the network device.

In a third aspect, the present application provides a communications apparatus comprising means/units for performing the method of any one of the first aspect and possible implementations thereof, or means/units for performing the method of any one of the second aspect and possible implementations thereof.

In a fourth aspect, the present application provides a communication device, where the device may be a terminal device, a chip system, or a processor that supports the terminal device to implement the above method, or a logic node, a logic module, or software that can implement all or part of a terminal function. The communication device may also be a chip system. The communication device may perform the method of the first aspect. The functions of the communication device can be realized by hardware, and can also be realized by executing corresponding software by hardware. The hardware or software includes one or more units corresponding to the functions described above. The unit may be software and/or hardware. The operations and advantages performed by the communication device may be referred to the methods and advantages described in the first aspect, and the repetition is not repeated.

In a fifth aspect, the present application provides a communication apparatus, where the apparatus may be a network device, a chip system, or a processor that supports the network device to implement the foregoing method, or a logic node, a logic module, or software that can implement all or part of the functions of the network device. The communication device may also be a chip system. The communication device may perform the method of the second aspect. The functions of the communication device can be realized by hardware, and can also be realized by executing corresponding software by hardware. The hardware or software includes one or more units corresponding to the functions described above. The unit may be software and/or hardware. The operations and advantages performed by the communication device may be referred to the methods and advantages described in the second aspect, and the repetition is omitted.

In a sixth aspect, the present application provides a communications device comprising a processor coupled to a memory for storing a program or instructions which, when executed by the processor, cause the communications device to perform the method of any one of the first to second aspects.

In a seventh aspect, the present application provides a communication device comprising a processor and interface circuitry for receiving signals from or transmitting signals from other communication devices than the communication device to the processor, the processor being operable to implement a method as claimed in any one of the first to second aspects by logic circuitry or executing code instructions.

In an eighth aspect, the present application provides a computer-readable storage medium for storing computer-executable instructions that, when executed, cause a terminal-implemented method in a method according to the first aspect to be implemented; alternatively, a method performed by the network device in the method as described in the second aspect is implemented.

In a ninth aspect, the present application provides a computer program product comprising a computer program which, when executed, causes a method performed by a terminal in a method according to the first aspect to be implemented; alternatively, a method performed by the network device in the method as described in the second aspect is implemented.

In a tenth aspect, the present application provides a communication system comprising communication means (e.g. a terminal) for performing the method of the first aspect described above and communication means (e.g. a network device) for performing the second aspect described above.

It will be appreciated that the advantages achieved by the communication method, the communication device, the computer readable storage medium and the computer program product provided above may refer to the advantages in the first aspect or the second aspect and any possible implementation manner thereof, and are not described herein.

Drawings

FIG. 1 is an exemplary diagram of a system architecture to which embodiments of the present application are applied;

fig. 2 is a flowchart illustrating a codebook-based CSI feedback method;

fig. 3 is a flowchart of a CSI compression model indication method according to an embodiment of the present application;

fig. 4 is a flowchart of another CSI compression model indication method according to an embodiment of the present application;

Fig. 5 is a schematic structural diagram of a communication device according to an embodiment of the present application;

fig. 6 is a schematic structural diagram of another communication device according to an embodiment of the present application.

Detailed Description

Specific embodiments of the present application are described in further detail below with reference to the accompanying drawings.

The terms first and second and the like in the description, in the claims and in the drawings, are used for distinguishing between different objects and not for describing a particular sequential order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the present application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.

In the present application, "at least one (item)" means one or more, "a plurality" means two or more, and "at least two (items)" means two or three or more, and/or "for describing an association relationship of an association object, three kinds of relationships may exist, for example," a and/or B "may represent: only a, only B and both a and B are present, wherein a, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b or c may represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.

In this application, "sending information to … (e.g., a terminal device)" is understood to mean that the destination of the information is the terminal device. May include directly or indirectly transmitting information to the terminal device. "receiving information from … (e.g., a terminal device)" or "receiving information from … (e.g., a terminal device)" may be understood that the source of the information is a terminal device, and may include directly or indirectly receiving information from a terminal device. The information may be subjected to necessary processing, such as format change, etc., between the source and destination of the information transmission, but the destination can understand the valid information from the source. Similar expressions in this application are to be understood similarly and are not repeated here.

In the description of the present application, "indication" may include direct indication and indirect indication, and may include display indication and implicit indication. Information indicated by a certain information (indication information described below) is called information to be indicated, and in a specific implementation process, there are various ways to indicate the information to be indicated. For example, the information to be indicated may be directly indicated, such as indicating the information to be indicated itself or an index of the information to be indicated. For another example, the information to be indicated may be indirectly indicated by indicating other information, where there is an association relationship between the indicated other information and the information to be indicated. For another example, only a portion of the information to be indicated may be indicated, while other portions of the information to be indicated are known or agreed in advance. In addition, the indication of the specific information can be realized by means of the arrangement sequence of the various information which is pre-agreed (as specified by the protocol), so that the indication overhead is reduced to a certain extent.

For a better understanding of the embodiments of the present application, the following first describes a system architecture related to the embodiments of the present application:

the embodiment of the application can be applied to a 5G later evolution communication system, such as a long term evolution (long term evolution, LTE) system, a fifth generation mobile communication (5th generation mobile communication,5G) system, a sixth generation mobile communication (6th generation mobile communication,6G) system and the like, a satellite communication system, a short distance wireless communication system and the like. Among the wireless communication systems mentioned in the embodiments of the present application include, but are not limited to: three major application scenarios of 5G/6G mobile communication system: enhanced mobile broadband (enhanced mobile broadband, emmbb), ultra-reliable low latency communication (ultra reliable low latency communication, URLLC), and mass machine type communication (massive machine type of communication, mctc), in a long range, loRa, or internet of things system. A wireless communication system may include one or more network devices and one or more terminal devices.

The embodiment of the application can be applied to the system architecture shown in fig. 1. The communication system 10 shown in fig. 1 may include, but is not limited to: network device 110, terminal device 120, and model management platform 130. The number and form of the devices in fig. 1 are used as examples, and are not limited to the embodiments of the present application, and for example, a plurality of terminal devices may be included in a practical application.

A terminal device, also called User Equipment (UE), mobile Station (MS), mobile Terminal (MT), etc., is a device that provides voice and/or data connectivity to a user. Such as a handheld device, an in-vehicle device, etc., having a wireless connection function. Currently, examples of some terminal devices are: a mobile phone, a tablet, a notebook, a palm, a mobile internet device (mobile internet device, MID), a wearable device, a Virtual Reality (VR) device, an augmented reality (augmented reality, AR) device, a wireless terminal in industrial control (industrial control), a wireless terminal in unmanned (self driving), a wireless terminal in teleoperation (remote medical surgery), a wireless terminal in smart grid (smart grid), a wireless terminal in transportation security (transportation safety), a wireless terminal in smart city (smart city), a wireless terminal in smart home (smart home), and the like.

The embodiment of the application does not limit the form of the terminal equipment, and the device for realizing the function of the terminal equipment can be the terminal equipment; or a device, such as a chip system, capable of supporting the terminal device to implement the function. The device can be installed in or matched with the terminal equipment. In the embodiment of the application, the chip system may be formed by a chip, and may also include a chip and other discrete devices.

A network device, which may also be referred to as an access network device, refers to a radio access network (radio access network, RAN) node (or device), which accesses a terminal device to a wireless network, which may also be referred to as a base station. Currently, some examples of RAN nodes are: a further evolved Node B (gNB), a transmission and reception point (transmission reception point, TRP), an evolved Node B (eNB), a radio network controller (radio network controller, RNC), a Node B (Node B, NB), a base station controller (base station controller, BSC), a base transceiver station (base transceiver station, BTS), a home base station (e.g., home evolved NodeB, or home Node B, HNB), a baseband unit (BBU), or a wireless fidelity (wireless fidelity, wifi) Access Point (AP), etc. In addition, in one network structure, the network device may include a Centralized Unit (CU) node, or a Distributed Unit (DU) node, or a RAN device including a CU node and a DU node. It should be noted that, the centralized unit node and the distributed unit node may also use other names, which is not limited in this application.

The embodiment of the application does not limit the form of the network device, and the device for realizing the function of the network device can be the network device; or may be a device, such as a system-on-a-chip, capable of supporting the network device to perform this function. The apparatus may be installed in or used in cooperation with a network device. In the embodiment of the application, the chip system may be formed by a chip, and may also include a chip and other discrete devices.

The model management platform may also be referred to as a CSI model management platform, an artificial intelligence (artificial intelligence, AI) model management platform, a model management server, a model cloud server, and the like. The model management platform is used for storing and managing various types of AI models, and can provide the AI models to terminal equipment or network equipment. AI models refer to AI models in a communication system, which may include CSI compression models and CSI compression recovery models. The CSI compression model is deployed at the terminal equipment side, and the CSI compression recovery model is deployed at the network equipment side. The model management platform may be, for example, a server, a cloud server, a personal computer (personal computer, PC), a notebook computer, or the like.

In the embodiment of the application, the terminal equipment can support the deployment of an AI model, such as the deployment of a CSI compression model. The network device may also support deployment of AI models, such as deployment of CSI compression recovery models.

In order to facilitate understanding of the content of the present solution, the following description will explain some terms related to the embodiments of the present application to facilitate understanding by those skilled in the art, and this section is only for convenience of understanding and is not to be construed as a specific limitation of the present application.

1. Digital signature

Digital signatures are a security verification method. The digital signature may include a signing process and a verification process.

Signature process: the sender generates a signed electronic file, a digital digest is made on the electronic file by a hash algorithm to obtain a digest, and then asymmetric encryption is made on the digest by a signature private key, namely, a digital signature is made; and then the digital signature, the original text of the electronic file and the public key of the signature certificate are packaged together to form a signature result, and the signature result is sent to a receiver for verification by the receiver.

The verification process comprises the following steps: the receiving party receives a signature result, wherein the signature result comprises a digital signature, an electronic file original text and a public key of a transmitting party; decrypting the digital signature by using the public key to obtain a digest, carrying out digital digest on the original text of the electronic file by using a hash algorithm to obtain another digest, comparing hash values of the two digests, and if the hash values are the same, verifying to pass, otherwise, verifying to fail.

Illustratively, taking a sender as a and a receiver as B as an example, the specific process of digital signature may include:

(1) A, carrying out hash operation on the original text to obtain a hash value, namely a abstract;

(2) A, encrypting the abstract by using a private key of the user and adopting an asymmetric encryption algorithm to obtain a digital signature;

(3) A, encrypting an original text, a digital signature and a public key of A by using a symmetric key of a symmetric encryption algorithm to obtain encryption information;

(4) A, encrypting the symmetric key by using the public key of B and adopting an asymmetric encryption algorithm to form a digital envelope;

(5) A, sending the encryption information and the digital envelope to B;

(6) B, after receiving the digital envelope, decrypting the digital envelope by using the private key of the B so as to obtain a symmetric key;

(7) B uses the symmetric key, adopts the symmetric encryption algorithm to decrypt the encrypted information, and restores the original text, the digital signature and the public key of A;

(8) B, decrypting the digital signature by using the public key of the A to obtain a digest 1;

(9) B, carrying out hash operation on the original text to obtain another abstract, wherein the abstract is assumed to be abstract 2;

(10) Judging whether the abstract 1 and the abstract 2 are the same, if so, verifying the digital signature, and if not, verifying.

2、CSI

CSI may be used to describe channel quality related information. For example, CSI describes the propagation process of a wireless signal between a transmitter and a receiver, including the effects of distance, scattering, fading, etc. on the signal. For downlink transmission, the CSI may be used for the terminal device to feed back the downlink channel quality to the network device, so that the network device performs processing such as beam management and mobility management according to the CSI. The CSI sent by the terminal device to the network device may be carried in a CSI report. For example, CSI may also include at least one of: CSI reference signal resource Indicator index (CSI-RS Resource Indicator, CRI), rank Indicator index (RI), channel quality Indicator index (Channel quality Indicator, CQI), precoding matrix Indicator index (Precoding Matrix Indicator, PMI), layer Indicator index (LI), layer 1 reference signal received power (Layer 1 reference signal received power,L1-RSRP), layer 1 signal-to-interference-plus-noise ratio (Layer 1 signal-to-noise and interference ratio, L1-SINR).

The terminal equipment performs channel measurement through the downlink reference signal to acquire channel information. Measurements may also be described as evaluating, detecting, estimating, etc. Among them, the downlink reference signals may include, but are not limited to, channel state information reference signals (channel state information reference signal, CSI-RS), synchronization signals, and physical broadcast channel blocks (synchronization signal and physical downlink broadcast channel block, SSB) or physical broadcast channel (physical downlink broadcast channel, PBCH) demodulation reference signals (demodulation reference signal, DMRS), etc. For example, the terminal device may perform downlink channel measurement according to the CSI-RS to obtain channel matrix information, so that CSI may be obtained according to the channel matrix information.

CSI reports (CSI-Report) are used to Report CSI. For example, the CSI report may include at least one of L1-RSRP, L1-SINR, CSI related (CSI-related) information, and the like. Specifically, in some embodiments, CSI reporting may be configured by high-layer parameter CSI reporting configuration information (CSI-ReportConfig). The CSI-ReportConfig may be configured by the higher layer parameters CSI-MeasConfig. Wherein, CSI-MeasConfig may indicate or include two higher layer parameters: CSI report configuration information (CSI-ReportConfig) and CSI resource configuration information (CSI-ResourceConfig).

The CSI-ReportConfig may indicate or include a CSI-ResourceConfigId. The CSI-ReportConfig may be associated by or by CSI-ResourceConfigId, CSI-ReportConfig. Associations may also be described as mappings or correspondence, etc. For example, a CSI-ReportConfig indication or including a CSI-ResourceConfigId may be understood as CSI reporting configuration information with associated CSI resource configuration information; CSI-ReportConfig does not indicate or include CSI-ResourceConfigId, and may be understood as CSI resource configuration information for which CSI report configuration information is not associated.

The CSI-ResourceConfig may be used to configure CSI-RS resources for CSI measurement. The CSI-ResourceConfig may configure a set of resources (e.g., resourceSet), which may include one or more CSI-RS resources (e.g., CSI-RS-Resource).

The CSI-ResourceConfig may indicate or include: the set of NZP-CSI-RS resources (NZP-CSI-RS-resourceNet), or the set of CSI-interference measurement (CSI Interference Measurement, CSI-IM) resources (CSI-IM-resourceNet), or the set of Synchronization Signal Block (SSB) resources (SSB-resourceNet).

NZP-CSI-RS-resource set can be used for channel measurement and/or interference measurement; CSI-IM-resource set may be used for interference measurements; SSB-resource set may be used for channel measurement.

The type of CSI-RS resources may be periodic, semi-persistent, or aperiodic.

The report configuration type (reportConfigType) in CSI-ReportConfig may be used to indicate a report type of CSI report, which may be periodic CSI report, aperiodic CSI report, or semi-persistent CSI report. CSI reports may be transmitted over a physical uplink control channel (physical uplink control channel, PUCCH) or a physical uplink shared channel (physical uplink shared channel, PUSCH).

3. CSI compression model and CSI compression recovery model

The CSI compression model is used for compressing CSI by the terminal device, for example, the feedback bit number of CSI before compression is 30 bits, and the feedback bit number of CSI after compression is 20 bits, which is beneficial to reducing feedback overhead of CSI.

The CSI compression recovery model is used for recovering the CSI by the network equipment. Because the CSI fed back by the terminal device is processed based on the CSI compression model, when the network device receives the CSI, the network device may use the CSI compression recovery model to recover the CSI before compression. The CSI compression recovery model may also be described as a CSI reconstruction model or a CSI compression reconstruction model.

And a CSI compression model at the terminal equipment side, wherein a CSI compression recovery model corresponding to the CSI compression model exists at the network equipment side so as to recover the CSI fed back by the CSI compression model. That is, the CSI compression model and the CSI compression recovery model are paired, and have a one-to-one correspondence.

With the development of AI model technology, different vendors may provide different CSI compression models and CSI compression recovery models. Regardless of the AI model employed, the AI decoder on the network device side and the AI encoder on the terminal device side must be matched to ensure performance. That is, the precondition of the embodiment of the present application is that the AI decoder on the network device side matches the AI encoder on the terminal device side.

Currently, in a 5G communication system, a terminal device feeds back CSI based on a codebook indicated by a network device. For example, taking CSI including PMI as an example, a codebook-based CSI feedback method may be shown in fig. 2. In fig. 2, a terminal device receives CSI-RS, performs channel estimation and equalization based on the received CSI-RS, determines a precoding matrix based on the results of the channel estimation and equalization and a codebook (indicated by a network device), then outputs a PMI according to the precoding matrix, and feeds back the PMI to the network device; the network equipment receives the PMI, performs table lookup based on the PMI to obtain a precoding matrix, and further sends downlink data to the terminal equipment based on the precoding matrix. However, with the increase of the large-scale antenna array, the cost of CSI feedback is also increased, and the CSI feedback method shown in fig. 2 is difficult to satisfy the communication scenario of complex and changeable channels.

In view of this, embodiments of the present application provide a CSI compression model indication method and a communication apparatus, which indicate a CSI compression model to a terminal device through a network device, so that the terminal device may feedback CSI based on the indicated CSI compression model, and may reduce the overhead of CSI feedback. In the embodiment of the application, the terminal equipment does not need to generate a CSI compression model, the network equipment does not need to generate a CSI compression recovery model, the CSI compression model and the CSI compression recovery model are provided by a model management platform, and the model management platform can provide the CSI compression model and the CSI compression recovery model of each manufacturer. The terminal equipment can support deployment of the CSI compression model and operation of the CSI compression model, and compared with the generation of the CSI compression model by the terminal equipment, the power consumption and calculation force of the terminal equipment can be saved to a certain extent. And similarly, the network equipment supports the deployment of the CSI compression recovery model and the operation of the CSI compression recovery model.

In the embodiment of the application, the terminal equipment can download the CSI compression model from the model management platform. Optionally, the terminal device performs digital signature verification on the downloaded CSI compression model, and for the CSI compression model passing the verification, the terminal device can use the digital signature verification; for CSI compression models that fail verification, the terminal device may be offloaded or discarded. Similarly, the network device may download the CSI compression recovery model from the model management platform. Optionally, the network device performs digital signature verification on the downloaded CSI compression recovery model, and for the CSI compression recovery model that passes the verification, the network device may use the digital signature verification; for CSI compression recovery models that fail verification, the network device may be offloaded or discarded. The model provided by the model management platform is more in variety than the model generated by the terminal equipment and the network equipment, and the terminal equipment and the network equipment can select the model according to actual requirements so as to adapt to the change of communication scenes. And the terminal equipment and the network equipment carry out digital signature verification on the downloaded model so as to ensure the security of the downloaded model.

The CSI compression model indication method provided in the embodiment of the present application is described in detail below based on the system architecture shown in fig. 1.

Please refer to fig. 3, which is a flowchart of a CSI compression model indication method according to an embodiment of the present application, the method may include, but is not limited to, the following steps:

and 301, the terminal equipment downloads M CSI compression models from a model management platform based on the model capability information of the terminal equipment. Wherein M is a positive integer greater than or equal to 1.

The model capability information is used for describing supporting capability and/or processing capability of the terminal equipment for the CSI compression model. The support capability indicates which CSI compression model or models the terminal device supports, and the processing capability indicates which CSI compression model or models the terminal device can process or run. The model capability information may include a model identification of CSI compression models supported by the terminal device, and/or model processing capabilities of the terminal device. The model of the supported CSI compression model identifies which CSI compression model or models are supported. Model processing capabilities can be capable of processing or running which CSI compression model or models, and may include, but are not limited to, computing, storage, co-processing, etc.

And the terminal equipment downloads M CSI compression models from the model management platform based on the model capability information. The M CSI compression models may be understood as CSI compression models supported and/or processable by the terminal device, and as CSI compression models matching the model capability information. The value of M depends on the model capability information of the terminal device. For example, the terminal device supports CSI compression model a and CSI compression model b, and then the terminal device may download CSI compression model a and CSI compression model b from the model management platform. a and b can be understood as model identifications of CSI compression models.

The terminal device downloads M CSI compression models from the model management platform, which may be: the terminal equipment sends a CSI compression model downloading request to a model management platform, wherein the CSI compression model downloading request can comprise model identifiers of all CSI compression models in the M CSI compression models; the model management platform receives the CSI compression model downloading request, extracts the M CSI compression models, and sends a CSI compression model downloading response to the terminal equipment, wherein the CSI compression model downloading response can comprise the M CSI compression models.

For any of the M CSI compression models, any CSI compression model includes model information. That is, each CSI compression model includes model information, and the model information of different CSI compression models is different. The model information may include one or more of model identification, model overhead information, model applicable speed information, and model deployment information.

The model identifier is a model ID, and is used for identifying the CSI compression model. The model overhead information indicates the number of CSI reporting bits, i.e., the number of CSI reporting bits corresponding to the CSI compression model. That is, for a CSI compression model, the number of bits occupied by CSI is based on when it reports CSI. The model applicable speed information indicates an applicable speed section, i.e., an applicable speed section corresponding to the CSI compression model. That is, for a CSI compression model, it can work more precisely in which speed interval, and can reflect the channel state more precisely. The model deployment information indicates deployment on the terminal device. For a CSI compression model, the model deployment information indicates that the CSI compression model is deployed at the terminal device side. When the model deployment information indicates deployment on the terminal equipment side or the network equipment side, 1 bit indication can be adopted, for example, when the value of the bit is 1, the deployment on the terminal equipment side is indicated.

For example, model information of a certain CSI compression model can be expressed as { ID: a, c:30bits, v:101-200km/h, i:1 }, where ID is a and represents that the model identifier of the CSI compression model is a; c represents model overhead information, the value of which is 30bits, and the CSI representing feedback can be represented by 30 bits; v represents model applicable speed information, the value of which is 101-200km/h, and the speed of the CSI compression model applicable to the terminal equipment is in the range of 101-200 km/h; i represents model deployment information, and a value of 1 represents that the CSI compression model is deployed on terminal equipment.

The CSI compression model downloaded by the terminal equipment from the model management platform comprises model information, and the model information of different CSI compression models is different. The model information may also be described as a model tag that is used to uniquely identify the CSI compression model.

The terminal equipment downloads the CSI-related AI model from the model management platform, which is called a CSI compression model, and for one CSI compression model, a CSI compression recovery model corresponding to the CSI compression model is used for recovering and decoding the CSI. The CSI compression recovery model may be deployed on a network device. That is, the CSI compression model at the terminal device side has a one-to-one correspondence with the CSI compression recovery model at the network device side, and the correspondence is unique. In other words, one CSI compression recovery model is used to recover CSI that is processed based on feedback from its corresponding CSI compression model. For example, the CSI compression model a corresponds to a CSI compression recovery model I, the terminal device feeds back CSI based on the CSI compression model a, and the network device performs recovery processing on the CSI based on the CSI compression recovery model I.

For any CSI compression recovery model, it also includes model information including one or more of model identification, model applicable speed information, and model deployment information. The model identifier is a model ID, and is used for identifying the CSI compression recovery model. The model applicable speed information indicates an applicable speed section, namely an applicable speed section of the CSI compression model corresponding to the CSI compression recovery model. The model deployment information indicates deployment on the network device.

For example, model information of a certain CSI compression model may be expressed as { ID: a, c:30bits, v:101-200km/h, I:1 }, and its corresponding CSI compression recovery model may be expressed as { ID: I, v:101-200km/h, I:0}. The ID is I, and the model identifier of the CSI compression recovery model is I; v represents the applicable speed information of the model, the value of the applicable speed information is 101-200km/h, and the speed of the CSI compression model corresponding to the CSI compression recovery model applicable to the terminal equipment is in the range of 101-200 km/h; i represents model deployment information, and a value of 0 represents that the CSI compression recovery model is deployed on network equipment.

302, the terminal device performs digital signature verification on the M CSI compression models.

The CSI compression model downloaded by the terminal device may further include a digital signature, and further verify the digital signature, and if all the digital signatures of the M CSI compression models pass verification, the capability information is sent to the network device. For CSI compression models where the digital signature is not verified, the terminal device may be offloaded or discarded. The embodiment shown in fig. 3 is exemplified by M CSI compression models each passing digital signature verification. The process of digital signature verification for the CSI compression model by the terminal device may refer to the specific description of the foregoing digital signature, which is not described herein.

303, transmitting capability information to the network device in response to the M CSI compression models passing the digital signature verification. Accordingly, the network device receives capability information from the terminal device.

Wherein the capability information includes model identifications of the M CSI compression models.

And under the condition that all the M CSI compression models pass the digital signature verification, transmitting capability information to the network equipment, wherein the capability information comprises model identifications of the M CSI compression models. The M CSI compression models are CSI compression models which are supported by the terminal equipment and downloaded. That is, the terminal device reports the supported and downloaded model identifier of the CSI compression model to the network device through the capability information.

304, the network device determines a first CSI compression model from the M CSI compression models based on the current communication scenario of the terminal device.

The network device receives the capability information, and may determine a first CSI compression model from the M CSI compression models based on a current communication scenario of the terminal device. The network device may also be described as determining the first CSI compression model based on the current communication scenario of the terminal device and the supported CSI compression model reported by the terminal device. The first CSI compression model is used for the terminal equipment to feed back the CSI based on the first CSI compression model under the current communication scene.

The current communication scenario of the terminal device may be a communication scenario determined by the network device through a communication awareness technology when or after receiving the capability information. The network device determines a current communication scenario through a communication awareness technology, for example, the network device measures a current operation speed of the terminal device by sending a positioning reference signal to the terminal device, and further determines the current communication scenario of the terminal device based on the current operation speed. For another example, the network device measures a current operation speed of the terminal device by transmitting a sensing signal to the terminal device and/or the network device measures the sensing signal transmitted by the terminal device, thereby determining a current communication scenario of the terminal device based on the current operation speed. For another example, the network device determines the current communication scenario of the terminal device by comparing CSI fed back by the terminal device for the first few times, where the first few times refers to before receiving the capability information, if the CSI difference fed back by the first few times is within a certain range (i.e. the channel state is not too variable), then the current communication scenario may be determined to be an indoor communication scenario. The indoor communication scene has lower frequency and precision requirements on the CSI feedback, and the feedback overhead requirements are lower. The embodiment of the application does not limit the specific method for determining the current communication scene by the network equipment through the communication perception technology.

And under the condition that the current communication scene of the terminal equipment is determined, determining a first CSI compression model matched with the current communication scene from M CSI compression models which are supported by the terminal equipment and downloaded. Optionally, the network device determines the first CSI compression recovery model based on the current communication scenario of the terminal device and model information of the M CSI compression recovery models, and further determines the first CSI compression model. The first CSI compression model corresponds to a first CSI compression recovery model. The M CSI compression recovery models are CSI compression recovery models corresponding to the M CSI compression models, and one CSI compression model corresponds to one CSI compression recovery model. The model applicable speed information in the CSI compression model is the same as the model applicable speed information in the corresponding CSI compression recovery model, so that a first CSI compression recovery model can be determined from M CSI compression recovery models based on the current communication scene, and the first CSI compression model can be further determined.

In one implementation, when the network device receives the capability information, the network device may download M CSI compression recovery models from the model management platform based on model identifications of M CSI compression models included in the capability information. For example, the network device sends a CSI compression recovery model download request to the model management platform, where the CSI compression recovery model download request may include model identifiers of M CSI compression models or model identifiers of M CSI compression recovery models; the model management platform sends a CSI compression recovery model downloading response to the network equipment based on the CSI compression recovery model downloading request, wherein the CSI compression recovery model downloading response comprises M CSI compression recovery models. Further, the network device may perform digital signature verification on the M CSI compression recovery models, where each verification passes through the executable step of determining the first CSI compression model, or performs the step of sending the model indication information to the terminal device. For CSI compression recovery models that fail verification, the network device may discard.

In another implementation manner, the network device itself is provided with a series of CSI compression recovery models which have contracted with the model management platform, and M CSI compression recovery models corresponding to the M CSI compression models can be extracted under the condition that the capability information is received, so as to determine the first CSI compression model based on the current communication scenario of the terminal device. In other words, the storage device (i.e., the local storage device) of the network device includes a series of CSI compression recovery models, and when the network device receives the capability information, the network device obtains CSI compression recovery models corresponding to the M CSI compression models from the storage device, where a model identifier of one CSI compression model corresponds to a model identifier of one CSI compression recovery model.

The terminal device downloads 3 CSI compression models, which can be respectively expressed as CSI compression models a { ID: a, c:20bits, v:0-100km/h, i:1 }, CSI compression models b { ID: b, c:30bits, v:101-200km/h, i:1 }, CSI compression models c { ID: c, c:40bits, v: >201km/h, i:1 }, and reports the model identifications of the 3 CSI compression models through capability information. For example, the network device determines that the current communication scene is a high mobile scene (> 300 km/h) through a communication perception technology, and in combination with capability information of the terminal device, can determine that the first CSI compression model is a CSI compression model c. For another example, the network device determines that the current communication scenario is a low mobility scenario (< 50 km/h) through a communication awareness technology, and in combination with capability information of the terminal device, can determine that the first CSI compression model is CSI compression model a. For another example, the network device determines, through a communication awareness technology, that the current communication scenario is an indoor communication scenario with infrequent channel state changes, and in combination with capability information of the terminal device, may determine that the first CSI compression model is CSI compression model a. The indoor communication scene has lower frequency and precision requirements on the CSI feedback, and the feedback overhead requirements are lower.

The network device sends 305 model indication information to the terminal device. Correspondingly, the terminal equipment receives the model indication information from the network equipment.

The model indication information is used for indicating a model identification of the first CSI compression model.

And the network equipment sends model indication information to the terminal equipment under the condition that the first CSI compression model is determined, and indicates the model identification of the first CSI compression model. And the terminal equipment can feed back the CSI to the network equipment based on the first CSI compression model.

The model indication information may be carried in DCI or MAC-CE. That is, the network device indicates the model identification of the first CSI compression model to the terminal device through DCI or MAC-CE. For the model indication information to be carried in DCI, the DCI may include a field whose value is used to indicate a model identifier of the first CSI compression model. For the model indication information to be carried in the MAC-CE, the MAC-CE may indicate the model identification of the first CSI compression model by a value of an 8-bit string.

Optionally, the network device may configure, for the terminal device, an index of a series of CSI compression models by radio resource control (radio resource control, RRC) signaling, where the series of CSI compression models is a CSI compression model corresponding to a CSI compression recovery model supported by the network device. Furthermore, when the network device determines the first CSI compression model, the network device may indicate the index of the first CSI compression model to the terminal device through DCI or MAC-CE. This saves the model indication overhead of DCI or MAC-CE.

In the embodiment shown in fig. 3, the terminal device reports the model identifier of the supported CSI compression model through the capability information, so that the network device indicates to the terminal device a first CSI compression model matched with the current communication scenario of the terminal device, and therefore the terminal device can feedback CSI based on the first CSI compression model, and the overhead of CSI feedback can be reduced.

Referring to fig. 4, a flowchart of another CSI compression model indication method according to an embodiment of the present application is shown, where the method may include, but is not limited to, the following steps:

and 401, the network equipment sends the model identification of the K CSI compression recovery models to the terminal equipment. Correspondingly, the terminal equipment receives the model identification of the K CSI compression recovery models from the network equipment. K is a positive integer greater than or equal to 1.

The K CSI compression recovery models may be understood as CSI compression recovery models supported by the network device.

In one implementation, the network device may download K CSI compression recovery models from the model management platform before performing step 401. For example, the network device sends a CSI compression recovery model download request to the model management platform, where the CSI compression recovery model download request may include model identifiers of K CSI compression recovery models; the model management platform sends a CSI compression recovery model downloading response to the network equipment based on the CSI compression recovery model downloading request, wherein the CSI compression recovery model downloading response comprises K CSI compression recovery models. Further, the network device may perform digital signature verification on the K CSI compression recovery models, where each verification passes the executable step 401. For CSI compression recovery models that fail verification, the network device may discard.

In another implementation, the model management platform may push multiple CSI compression recovery models to the network device. The pushed CSI compression recovery model may be supported by both network devices or may be partially supported. The K CSI compression recovery models may be all or part of a plurality of CSI compression recovery models pushed by the model management platform. Further, the network device may perform digital signature verification on the pushed CSI compression recovery model, and for a CSI compression recovery model that passes verification, may indicate to the terminal device that the CSI compression recovery model that does not pass verification may be discarded.

And 402, the terminal equipment downloads M CSI compression models from the model management platform based on the model capability information of the terminal equipment and the model identification of the K CSI compression recovery models. Wherein M is a positive integer greater than or equal to 1.

The model capability information may be referred to in step 301, and is not described herein.

The M CSI compression models in step 402 may be understood as CSI compression models that are supported and/or processable by the terminal device and that correspond to CSI compression recovery models supported by the network device. That is, the M CSI compression models are CSI compression models supported by both the terminal device and the network device. The value of M depends on the supporting capabilities of the terminal device and the network device for the CSI compression model. For example, the terminal device supports CSI compression model a (corresponding to CSI compression recovery model I) and CSI compression model b (corresponding to CSI compression recovery model II), step 401 indicates CSI compression recovery model I, and then the terminal device may download CSI compression model a from the model management platform. The process of downloading the CSI compression model from the model management platform by the terminal device may refer to the specific description of step 301, and will not be described herein.

And 403, the terminal equipment performs digital signature verification on the M CSI compression models.

The CSI compression model downloaded by the terminal device may further include a digital signature, and further verify the digital signature, and if all the digital signatures of the M CSI compression models pass verification, the capability information is sent to the network device. For CSI compression models where the digital signature is not verified, the terminal device may be offloaded or discarded. The embodiment shown in fig. 4 is exemplified by M CSI compression models each passing digital signature verification. The process of digital signature verification for the CSI compression model by the terminal device may refer to the specific description of the foregoing digital signature, which is not described herein.

404, in response to the M CSI compression models passing digital signature verification, transmitting capability information to the network device. Accordingly, the network device receives capability information from the terminal device.

Wherein the capability information includes model identifications of the M CSI compression models. The M CSI compression models are the CSI compression models which are supported by the terminal equipment and the network equipment and are downloaded.

The network device determines 405 a first CSI compression model from the M CSI compression models based on the current communication scenario of the terminal device.

And 406, the network equipment sends model indication information to the terminal equipment. Correspondingly, the terminal equipment receives the model indication information from the network equipment. The model indication information is used for indicating a model identification of the first CSI compression model.

The implementation process of step 405 and step 406 may refer to the specific descriptions of step 304 and step 305, which are not described herein.

In the embodiment shown in fig. 4, the terminal device reports the model identifier of the CSI compression model supported by the terminal device and the network device through the capability information, so that the network device indicates to the terminal device a first CSI compression model matched with the current communication scenario of the terminal device, and therefore the terminal device can feedback CSI based on the first CSI compression model, and the expenditure of CSI feedback can be reduced.

The application provides a communication device which can be used for realizing the functions of the terminal equipment or the network equipment. The communication means may be a terminal device or a network device. The communication device includes units corresponding to the methods/operations/steps/actions executed by the terminal device or the network device in the above method embodiment, where the units may be hardware circuits, software, or a combination of hardware circuits and software. Referring to fig. 5, fig. 5 shows a schematic structural diagram of a communication device 500 according to an embodiment of the present application. The communication device 500 may comprise an interface unit 501 and a processing unit 502. Specifically, the processing unit 502 is configured to process signaling and/or data, where the signaling and/or data may be data received by the interface unit 501, and the processed signaling and/or data may also be sent by the interface unit 501;

In one embodiment, when the communication device 500 is a terminal device, wherein:

an interface unit 501, configured to download M CSI compression models from a model management platform based on model capability information of a terminal device, where M is a positive integer greater than or equal to 1; transmitting capability information to the network device in response to the M CSI compression models passing digital signature verification, wherein the capability information comprises model identifications of the M CSI compression models, and the M CSI compression models are CSI compression models supported by the terminal device; and receiving model indication information from the network equipment, wherein the model indication information is used for indicating a first CSI compression model, and the M CSI compression models comprise the first CSI compression model, and the first CSI compression model is matched with the current communication scene of the terminal equipment.

In this embodiment, for the specific implementation of the interface unit 501 and the processing unit 502, reference may be made to the specific implementation steps of the terminal device in fig. 3 or fig. 4, which are not described herein again.

In another embodiment, the communication apparatus shown in fig. 5 is a network device, wherein:

an interface unit 501, configured to receive capability information from a terminal device, where the capability information includes model identifiers of M CSI compression models, where the M CSI compression models are CSI compression models supported by the terminal device;

A processing unit 502, configured to determine a first CSI compression model from M CSI compression models based on a current communication scenario of a terminal device;

the interface unit 501 is further configured to send model indication information to the terminal device, where the model indication information is used to indicate a model identifier of the first CSI compression model.

In this embodiment, for the specific implementation of the interface unit 501 and the processing unit 502, reference may be made to the specific implementation steps of the network device in fig. 3 or fig. 4, which are not described herein again.

Fig. 6 shows a communication apparatus 600 provided in an embodiment of the present application, which is configured to implement the functions of the terminal device or the network device. The apparatus may be a communication device or an apparatus for use in a communication device, which may be a terminal device or a network device. The means for use in the communication device may be a chip system or chip within the communication device. The chip system may be composed of a chip or may include a chip and other discrete devices.

The communication apparatus 600 includes at least one processor 610 for implementing processing functions of a device (e.g., a terminal device or a network device) in a method provided in an embodiment of the present application. The communication apparatus 600 may further include a communication interface 620 for implementing transceiving operations of devices (such as terminal devices or network devices) in the method provided in the embodiments of the present application. In embodiments of the present application, the communication interface may be a transceiver, circuit, bus, module, or other type of communication interface for communicating with other devices over a transmission medium. For example, the communication interface 620 may be used to communicate devices in the communication device 600 with other apparatuses. The processor 610 utilizes the communication interface 620 to transmit and receive data and is used to implement the methods described in the method embodiments above.

The communications apparatus 600 can also include at least one memory 630 for storing program instructions and/or data. The memory 630 is coupled to the processor 610. The coupling in the embodiments of the present application is an indirect coupling or communication connection between devices, units, or modules, which may be in electrical, mechanical, or other forms for information interaction between the devices, units, or modules. The processor 610 may operate in conjunction with the memory 630. Processor 610 may execute program instructions stored in memory 630. One or more memories may be included in the processor.

The specific connection medium between the communication interface 620, the processor 610, and the memory 630 is not limited in the embodiments of the present application. In the embodiment of the present application, the memory 630, the processor 610 and the communication interface 620 are connected by a bus, which is shown by a thick line in fig. 6, and the connection manner between other components is only schematically illustrated, but not limited thereto. The buses may be classified as address buses, data buses, control buses, etc. For ease of illustration, only one thick line is shown in fig. 6, but not only one bus or one type of bus.

When the communication apparatus 600 is a device for an apparatus (e.g., a terminal device or a network device), for example, when the communication apparatus 600 is a chip or a system-on-chip, the output or the reception of the communication interface 620 may be a baseband signal. When the communication apparatus 600 is specifically a device (such as a terminal device or a network device), the output or the receiving of the communication interface 620 may be a radio frequency signal. In the embodiments of the present application, the processor 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, a discrete gate or transistor logic device, or a discrete hardware component, and may implement or execute the methods, steps, and logic blocks disclosed in the embodiments of the present application. The 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 application may be embodied directly in a hardware processor for execution, or in a combination of hardware and software modules in the processor for execution.

When the communication apparatus 600 is a module applied to a base station, the base station module implements the functions of the base station in the above method embodiment. The base station module receives information from other modules (such as radio frequency modules or antennas) in the base station, the information being transmitted by the terminal to the base station; alternatively, the base station module transmits information to other modules in the base station (e.g., radio frequency modules or antennas) that the base station transmits to the terminal. The base station module may be a baseband chip of a base station, a Central Unit (CU), a Distributed Unit (DU), or other modules, or a device under an open RAN (O-RAN or an) architecture, for example, a device such as an open CU, an open DU, or the like.

It should be noted that the communication interface 620 may be used to perform the functions of the interface unit 501, and the processor 610 may be used to perform the functions of the processing unit 502, which are not described herein.

When the communication device is a chip applied to the terminal equipment, the chip realizes the functions of the terminal equipment in the embodiment of the method, and the chip receives information from other equipment; alternatively, the chip sends information to other devices.

When the communication device is a chip applied to the network device, the chip realizes the function of the network device in the method embodiment. The chip receives information from other devices; alternatively, the chip sends information to other devices.

It is to be appreciated that the processor in embodiments of the present application may be a central processing unit (central processing unit, CPU), but may also be other general purpose processors, digital signal processors (digital signal processor, DSP), application specific integrated circuits (application specific integrated circuit, ASIC), field programmable gate arrays (field programmable gate array, FPGA) or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. The general purpose processor may be a microprocessor, but in the alternative, it may be any conventional processor.

The method steps in the embodiments of the present application may be implemented by hardware, or may be implemented by a processor executing software instructions. The software instructions may be comprised of corresponding software modules that may be stored in random access memory (random access memory, RAM), flash memory, read-only memory (ROM), programmable ROM (PROM), erasable Programmable ROM (EPROM), electrically erasable programmable EPROM (EEPROM), registers, hard disk, a removable disk, a compact disc read-only memory (CD-ROM), or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC. In addition, the ASIC may reside in an access network device or terminal. The processor and the storage medium may reside as discrete components in a terminal or access network device.

In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, 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 programs or instructions. When the computer program or instructions are loaded and executed on a computer, the processes or functions described in the embodiments of the present application are performed in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer program or instructions may be stored in or transmitted across a computer-readable storage medium. The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server that integrates one or more available media. The usable medium may be a magnetic medium, e.g., floppy disk, hard disk, tape; optical media, such as digital video discs (digital video disk, DVD); but also semiconductor media such as solid state disks (solid state drive, SSD).

In the various embodiments of the application, if there is no specific description or logical conflict, terms and/or descriptions between the various embodiments are consistent and may reference each other, and features of the various embodiments may be combined to form new embodiments according to their inherent logical relationships.

It will be appreciated that the various numerical numbers referred to in the embodiments of the present application are merely for ease of description and are not intended to limit the scope of the embodiments of the present application. The sequence number of each process does not mean the sequence of the execution sequence, and the execution sequence of each process should be determined according to the function and the internal logic.

The embodiment of the application also provides a computer readable storage medium, in which computer executable instructions are stored, which when executed, cause a terminal device or a network device to implement the method executed by the terminal device or the network device in the method embodiment.

The embodiments of the present application also provide a computer program product, which includes a computer program, and when the computer program is executed, causes a method executed by a terminal device or a network device in the above method embodiments to be implemented.

The embodiment of the application also provides a communication system which comprises the terminal equipment and the network equipment. Optionally, the method further comprises a model management platform. Wherein each device is configured to perform a method performed by each device in the method embodiment described above.

It should be noted that, for simplicity of description, the foregoing method embodiments are all expressed as a series of action combinations, but it should be understood by those skilled in the art that the present application is not limited by the order of actions described, as some steps may be performed in other order or simultaneously in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required in the present application.

The descriptions of the embodiments provided in the present application may be referred to each other, and the descriptions of the embodiments are focused on, and for the part that is not described in detail in a certain embodiment, reference may be made to the related descriptions of other embodiments. For convenience and brevity of description, for example, reference may be made to the relevant descriptions of the method embodiments of the present application with respect to the functions and execution steps of the apparatus, devices, and methods provided in the embodiments of the present application, and reference may also be made to each other, combined, or cited between the method embodiments, and between the apparatus embodiments.

Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A CSI compression model indication method, comprising:

downloading M CSI compression models from a model management platform based on the model capability information of the terminal equipment; m is a positive integer greater than or equal to 1;

transmitting capability information to a network device in response to the M CSI compression models passing digital signature verification, wherein the capability information comprises model identifications of the M CSI compression models;

and receiving model indication information from the network equipment, wherein the model indication information is used for indicating a model identifier of a first CSI compression model, the M CSI compression models comprise the first CSI compression model, and the first CSI compression model is matched with the current communication scene of the terminal equipment.

2. The method of claim 1, wherein any of the M CSI compression models comprises model information, the model information comprising one or more of model identification, model overhead information, model applicable speed information, model deployment information.

3. The method of claim 2, wherein the model overhead information indicates a number of CSI reporting bits, the model applicable speed information indicates an applicable speed interval, and the model deployment information indicates deployment on the terminal device.

4. A method according to any of claims 1-3, wherein downloading M CSI compression models from a model management platform based on model capability information of a terminal device, comprises:

and downloading M CSI compression models from a model management platform based on the model capability information of the terminal equipment and the model identification of K CSI compression recovery models, wherein K is a positive integer greater than or equal to 1.

5. The method of claim 4, wherein the method further comprises:

model identifications of the K CSI compression recovery models from the network device are received, the model identification of one CSI compression model corresponding to the model identification of one CSI compression recovery model.

6. A method according to any of claims 1-3, characterized in that the model capability information of the terminal device comprises a model identification of CSI compression models supported by the terminal device and/or a model processing capability of the terminal device.

7. A method according to any of claims 1-3, wherein the model indication information is carried in downlink control information or medium access control-control elements.

8. A CSI compression model indication method, comprising:

receiving capability information from a terminal device, wherein the capability information comprises model identifiers of M CSI compression models; the M CSI compression models are CSI compression models supported by the terminal equipment; m is a positive integer greater than or equal to 1;

determining a first CSI compression model from the M CSI compression models based on the current communication scene of the terminal equipment;

and sending model indication information to the terminal equipment, wherein the model indication information is used for indicating a model identifier of the first CSI compression model.

9. The method of claim 8, wherein the method further comprises:

and downloading M CSI compression recovery models from a model management platform based on the model identifications of the M CSI compression models, wherein the model identification of one CSI compression model corresponds to the model identification of one CSI compression recovery model.

10. The method of claim 9, wherein the method further comprises:

and carrying out digital signature verification on the M CSI compression recovery models.

11. The method of claim 8, wherein the method further comprises:

and obtaining M CSI compression recovery models corresponding to the M CSI compression models from a storage device, wherein the model identification of one CSI compression model corresponds to the model identification of one CSI compression recovery model.

12. The method according to any of claims 8-11, wherein the determining a first CSI compression model from the M CSI compression models based on a current communication scenario of the terminal device comprises:

responding to the current communication scene of the terminal equipment as a high-mobility scene, and determining a first CSI compression model supporting the high-mobility scene from the M CSI compression models; or,

determining a first CSI compression model supporting a low-mobility scene from the M CSI compression models in response to the current communication scene of the terminal equipment being the low-mobility scene; or,

and determining a first CSI compression model supporting the indoor communication scene from the M CSI compression models in response to the current communication scene of the terminal equipment being the indoor communication scene.

13. The method of any one of claims 8-11, wherein the method further comprises:

and sending model identifiers of K CSI compression recovery models to the terminal equipment, wherein the K CSI compression recovery models are CSI compression recovery models supported by the network equipment, and K is a positive integer greater than or equal to 1.

14. The method according to any of claims 8-11, wherein the model indication information is carried in downlink control information or medium access control-control elements.

15. A communication device comprising means for performing the method of any one of claims 1-7 or the method of any one of claims 8-14.

16. A communication device comprising a processor for causing, by means of logic circuitry and/or by execution of a computer program or instructions, the method of any one of claims 1-7 or the method of any one of claims 8-14.

17. The communication apparatus according to claim 16, further comprising: and a memory for storing the computer program or instructions.

18. A communication device comprising a processor and interface circuitry for receiving signals from other communication devices than the communication device and transmitting signals from the processor to the processor or sending signals from the processor to other communication devices than the communication device, the processor being configured to implement the method of any of claims 1-7 by logic circuitry or executing code instructions; or a method according to any one of claims 8-14.

19. A computer readable storage medium, characterized in that the storage medium has stored therein a computer program or instructions which, when executed by a communication device, implement the method of any of claims 1-7; or a method according to any one of claims 8-14.