Performance parameter sending method and device, performance parameter receiving method and device, storage medium and program product

Abstract

The embodiment of the invention provides a performance parameter sending method and device, a performance parameter receiving method and device, a storage medium and a program product, relates to the technical field of communication, and is used for reducing the overhead of a reference signal for performance monitoring or reducing the time delay of performance monitoring. The sending method comprises the following steps: acquiring M first parameters and N second parameters, wherein M and N are positive integers; and determining a first performance parameter according to the M first parameters and the N second parameters, and sending the first performance parameter.

Description

Technical Field

[0001] The present disclosure relates to the field of communication technologies, and in particular, to a method, apparatus, storage medium, and program product for sending and receiving performance parameters. Background Art

[0002] Multiple-antenna technologies cover a variety of key methods, such as multiple input multiple output (MIMO), joint transmission (JT) of multiple transmission nodes, and high-frequency beamforming. These technologies are widely used in various radio communication mobile networks because they can significantly improve the performance of wireless communication systems, including the long term evolution (LTE) network of the 4th generation mobile networks (4G), the new radio (NR) network of the 5th generation mobile networks (5G), and future mobile communication networks, such as the network corresponding to the 6th generation mobile networks (6G).

[0003] However, to effectively utilize the advantages of multiple-antenna technologies, communication nodes need to obtain relatively accurate channel state information. Currently, there are various information processing methods for obtaining channel state information, and the information processing methods at least include linear information processing methods and non-linear information processing methods. Among them, non-linear information processing methods, as important information processing means, include but are not limited to various advanced information processing technologies, such as artificial intelligence (AI). These information processing methods can be applied to scenarios such as beam prediction, channel state information prediction, and channel estimation, so as to improve the accuracy of obtaining channel state information.

[0004] However, with the change of the environment or channel conditions, non-linear information processing methods may no longer be suitable for the current environment or channel conditions, thereby resulting in performance degradation. Therefore, it is particularly important to continuously monitor the performance of such information processing methods. When performing performance monitoring, it is necessary to send reference signals, which will undoubtedly increase the overhead of reference signals. How to optimize this overhead while ensuring the effectiveness of performance monitoring is an urgent problem to be solved currently. Summary of the Invention

[0005] The present disclosure provides a method, apparatus, storage medium, and program product for sending and receiving performance parameters, which are used to reduce the overhead of reference signals for performance monitoring or reduce the latency of performance monitoring.

[0006] To achieve the above object, the present disclosure adopts the following technical solutions:

[0007] In a first aspect, the present disclosure provides a method for sending performance parameters, the method comprising:

[0008] Obtaining M first parameters and N second parameters, where M and N are positive integers;

[0009] Determining a first performance parameter according to the M first parameters and the N second parameters;

[0010] Sending the first performance parameter.

[0011] In a second aspect, the present disclosure provides a method for receiving channel state information, the method comprising:

[0012] Receiving a first performance parameter; wherein, the first performance parameter is determined according to M first parameters and N second parameters, and M and N are positive integers;

[0013] Determining a performance result of a first information processing manner according to the first performance parameter.

[0014] In a third aspect, the present disclosure provides a communication device, the communication device comprising:

[0015] An obtaining module, configured to obtain M first parameters and N second parameters, where M and N are positive integers;

[0016] A determining module, configured to determine a first performance parameter according to the M first parameters and the N second parameters;

[0017] A sending module, configured to send the first performance parameter.

[0018] In a fourth aspect, the present disclosure provides another communication device, the communication device comprising:

[0019] A receiving module, configured to receive a first performance parameter; wherein, the first performance parameter is determined according to M first parameters and N second parameters, and M and N are positive integers;

[0020] A processing module, configured to determine a performance result of a first information processing manner according to the first performance parameter.

[0021] In a fifth aspect, a communication device is provided, comprising: a processor and a memory; the memory stores instructions executable by the processor; when the processor is configured to execute the instructions, the communication device implements any one of the methods provided in the first aspect or the second aspect above.

[0022] In a sixth aspect, a computer-readable storage medium is provided, the computer-readable storage medium stores computer instructions, and when the computer instructions run on a computer, the computer executes any one of the methods provided in the first aspect or the second aspect.

[0023] In a seventh aspect, there is provided a computer program product comprising computer instructions which, when run on a computer, cause the computer to execute any of the methods provided in the first aspect or the second aspect.

[0024] Based on the technical solution provided in the present disclosure, the first performance parameter can be determined according to the obtained M first parameters and N second parameters. In this way, there is no need to additionally transmit a reference signal of the tag corresponding to the second parameter to determine the performance parameter. The first performance parameter is determined by using the obtained M first parameters in combination with the N second parameters, that is, the information processing method adopted can be monitored for performance based on the obtained M first parameters. Thus, the overhead of the reference signal for performance monitoring can be reduced. Since the first performance parameter can be obtained without waiting for the transmission of the reference signal corresponding to the second parameter, the latency of performance monitoring can also be reduced to a certain extent. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The drawings are used to provide a further understanding of the technical solution of the present disclosure, and constitute a part of the specification. Together with the embodiments of the present disclosure, they are used to explain the technical solution of the present disclosure, and do not constitute a limitation to the technical solution of the present disclosure.

[0026] Figure 1 It is a schematic diagram of the architecture of a communication system provided by an embodiment of the present disclosure;

[0027] Figure 2 It is a flowchart of a method for sending a performance parameter provided by an embodiment of the present disclosure;

[0028] Figure 3 It is a schematic diagram of a first parameter and a second parameter provided by an embodiment of the present disclosure;

[0029] Figure 4 It is a flowchart of a method for receiving a performance parameter provided by an embodiment of the present disclosure;

[0030] Figure 5 It is a schematic diagram of the composition of a communication device provided by an embodiment of the present disclosure;

[0031] Figure 6 It is a schematic diagram of the composition of another communication device provided by an embodiment of the present disclosure;

[0032] Figure 7 It is a schematic diagram of the structure of a communication device provided by an embodiment of the present disclosure. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0033] Next, the technical solutions in the embodiments of the present disclosure will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only a part of the embodiments of the present disclosure, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present disclosure without creative efforts shall fall within the scope of protection of the present disclosure.

[0034] Unless the context otherwise requires, throughout the specification and claims, the term "comprise" and its other forms such as the third-person singular form "comprises" and the present participle form "comprising" are interpreted as open and inclusive, that is, "including, but not limited to". In the description of the specification, the terms "one embodiment", "some embodiments", "exemplary embodiments", "example", "specific example" or "some examples", etc. are intended to indicate that the specific features, structures, materials or characteristics related to the embodiment or example are included in at least one embodiment or example of the present disclosure. The schematic representations of the above terms are not necessarily referring to the same embodiment or example. In addition, the specific features, structures, materials or characteristics may be included in any one or more embodiments or examples in any suitable manner.

[0035] The terms "first" and "second" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the present disclosure, unless otherwise stated, the meaning of "a plurality" is two or more.

[0036] In the embodiments of the present disclosure, words such as "exemplary" or "for example" are used to mean as an example, illustration or explanation. Any embodiment or design solution described as "exemplary" or "for example" in the embodiments of the present disclosure should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Rather, the use of words such as "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0037] In addition, the use of "based on" means open and inclusive, because a process, step, calculation or other action "based on" one or more of the stated conditions or values may in practice be based on additional conditions or values beyond those stated.

[0038] In the embodiments of the present disclosure, suffixes such as "module", "component", or "unit" used to represent elements are only for the convenience of describing the present application, and they have no specific meaning per se. Therefore, "module", "component", or "unit" can be used interchangeably.

[0039] Currently, in a wireless communication system based on multi-antenna technology, various advanced technologies can be adopted to obtain accurate channel state information (CSI), such as layer 1 reference signal received power L1-RSRP, differential L1-RSRP, layer 1 signal-to-noise ratio L1-SINR, differential L1-SINR, probability, layer 1 reference signal received quality L1-RSRQ, differential L1-RSRQ, partial or all channel information, etc. Taking the information processing method of artificial intelligence AI as an example, the accuracy of obtaining channel state information can be improved. Among them, it is possible that the AI model is not suitable for the current environment, resulting in a decrease in the performance of this information processing method. Therefore, it is necessary to monitor the information processing method. Taking spatial domain beam prediction or channel estimation as an example, in order to monitor the information processing method, it is necessary to send a reference signal related to the input of the information processing method and a reference signal corresponding to the label of the output of the information processing method. In this way, a large overhead will be generated.

[0040] In view of this, the present disclosure provides a method for transmitting performance parameters, the method comprising: obtaining M first parameters and N second parameters, where M and N are positive integers; determining a first performance parameter according to the M first parameters and the N second parameters; and transmitting the first performance parameter. In this way, the first performance parameter can be determined according to the obtained M first parameters and N second parameters. Thus, there is no need to additionally transmit a reference signal corresponding to the label of the second parameter to determine the performance parameter. The first performance parameter is determined by using the obtained M first parameters in combination with the N second parameters, that is, the performance of the information processing method that can be adopted is monitored based on the obtained M first parameters. Therefore, the overhead of the reference signal for performance monitoring can be reduced, and since the first performance parameter can be obtained without waiting for the transmission of the reference signal corresponding to the second parameter, the latency of performance monitoring can also be reduced to a certain extent.

[0041] Correspondingly, the present disclosure further provides a method for receiving performance parameters, the method comprising: receiving a first channel performance parameter; the first performance parameter is determined according to M first parameters and N second parameters, where M and N are positive integers; and determining the performance result of the first information processing method according to the first performance parameter. In this way, the overhead of the reference signal can be reduced. In some embodiments, M is an integer greater than 1, and N is an integer greater than or equal to M.

[0042] The technical solutions provided by the embodiments of the present disclosure can be applied to various mobile communication networks. For example, the New Radio (NR) mobile communication network adopting the 5th generation mobile networks (5G), future mobile communication networks (including but not limited to various 6th generation mobile communication technologies, 6G), or the networks of various communication convergence systems, etc. The embodiments of the present disclosure do not limit this.

[0043] In the embodiments of the present disclosure, the network architecture of a mobile communication network (including but not limited to 3G, 4G, 5G, and future mobile communication networks, such as 6G, 7G, etc.) may include network-side devices (such as, including but not limited to, base stations) and receiving-side devices (such as, including but not limited to, terminals). And it should be understood that, in this example, in the downlink, the first communication node (which may also be referred to as the first communication node device) may be a base station-side device, and the second communication node (which may also be referred to as the second communication node device) may be a terminal-side device. Of course, in the uplink, the first communication node may also be a terminal-side device, and the second communication node may also be a base station-side device. In device-to-device communication between two communication nodes, both the first communication node and the second communication node may be base stations or terminals. The first communication node and the second communication node may be abbreviated as the first node and the second node respectively.

[0044] Exemplarily, taking the network-side device as a base station and the receiving-side device as a terminal as an example, Figure 1 shows a schematic diagram of the architecture of a communication system provided by the embodiments of the present disclosure. As Figure 1 shown, the communication system 10 includes a plurality of base stations (such as base station 21 and base station 22) and a plurality of terminals (such as terminal 31, terminal 32, terminal 33, and terminal 34). Among them, the plurality of base stations and the plurality of terminals can be communicatively connected. Among them, a base station can provide network services to the terminals in one cell, or can also provide network services to the terminals in multiple cells at the same time.

[0045] In some embodiments, the base station may be a base station in Long Term Evolution (LTE), Long Term Evolution Advanced (LTE-A), or an evolved Node B (eNB or eNodeB), a base station device in a 5G network, or a base station in a future communication system, etc. The base station may include various macro base stations, micro base stations, home base stations, remote radio heads, reconfigurable intelligent surfaces (RISs), routers, Wireless Fidelity (WIFI) devices, or logical entities such as a primary cell and a secondary cell.

[0046] In some embodiments, the terminal may be a device with wireless transceiver functions, which can be deployed on land, including indoor or outdoor, handheld, wearable or vehicle-mounted; it can also be deployed on the water (such as a ship, etc.); it can also be deployed in the air (such as an airplane, a balloon, a satellite, etc.). The terminal may be a mobile phone, a tablet computer (Pad), a computer with wireless transceiver functions, a Virtual Reality (VR) terminal, an Augmented Reality (AR) terminal, a wireless terminal in industrial control, a wireless terminal in self-driving, a wireless terminal in remote medical, a wireless terminal in a smart grid, a wireless terminal in transportation safety, a wireless terminal in a smart city, a wireless terminal in a smart home, etc. Embodiments of the present disclosure do not limit the application scenarios. The terminal may sometimes also be referred to as a user, a User Equipment (UE), an access terminal, a UE unit, a mobile station, a mobile platform, a remote station, a remote terminal, a mobile device, a UE terminal, a wireless communication device, a UE agent, or a UE device, etc. Embodiments of the present disclosure do not limit this.

[0047] It should be noted that Figure 1 is only an exemplary framework diagram, Figure 1 The number of devices or nodes included in it, the names of each device are not restricted, and in addition to Figure 1 the functional nodes shown, the communication system may also include other nodes or devices, such as core network devices.

[0048] The system architecture and business scenarios described in the embodiments of the present disclosure are for more clearly illustrating the technical solutions of the embodiments of the present disclosure, and do not constitute a limitation on the technical solutions provided by the embodiments of the present disclosure. Those of ordinary skill in the art will know that with the evolution of the network architecture and the emergence of new business scenarios, the technical solutions provided by the embodiments of the present disclosure are also applicable to similar technical problems.

[0049] In some embodiments, high-layer signaling includes, but is not limited to, radio resource control (RRC), media access control element (MAC CE), and other signaling outside of physical layer signaling, such as LTE Positioning Protocol (LPP) high-layer signaling, NR Positioning Protocol A (NRPPa) high-layer signaling, LTE Positioning Protocol A (LPPa) high-layer signaling, where LPP is also applied to NR positioning protocol. Physical layer signaling can also be transmitted between the base station and the terminal. For example, the base station and the terminal can transmit downlink physical layer signaling on the physical downlink control channel (PDCCH) and transmit uplink physical layer signaling on the physical uplink control channel (PUCCH).

[0050] In some embodiments, the indication (indicator) of various parameters, which can also be referred to as an index or an identifier (ID), are equivalent concepts among indication, identifier, and index. For example, the resource identifier of a wireless system can also be referred to as a resource indication or a resource index. Among them, the resources of the wireless system include, but are not limited to, any one of the following: reference signal resources, reference signal resource groups, reference signal resource configurations, channel state information (CSI) reports, CSI report sets, terminals, base stations, panels, neural networks, sub-neural networks, neural network layers, precoding matrices, beams, transmission modes, sending modes, receiving modes, modules, models, functional modules, functions, etc. The base station can indicate the identifier of one or a group of resources to the terminal through high-layer signaling or physical layer signaling. The terminal can also send the identifier of one or a group of resources to the base station through high-layer signaling and / or physical layer signaling.

[0051] In some embodiments, transmission includes sending or receiving. For example, sending data or signals, receiving data or signals.

[0052] In some embodiments, in order to calculate channel state information or perform channel estimation, mobility management, positioning, etc., it is necessary for the base station or the terminal to transmit a reference signal (RS). Among them, the reference signal includes, but is not limited to, the channel-state information reference signal (CSI-RS), and the channel-state information reference signal includes zero-power CSI-RS (ZP CSI-RS) and non-zero-power CSI-RS (NZP CSI-RS), channel-state information-interference measurement (CSI-IM), sounding reference signal (SRS), synchronization signals block (SSB), physical broadcast channel (PBCH), synchronization signals block / physical broadcast channel (SSB / PBCH). In addition, the time-frequency resources used to transmit the reference signal, including the set of resource elements (RE), are called reference signal resources. For example, CSI-RS resource, SRS resource, CSI-IM resource, SSB resource. In the present disclosure, SSB includes synchronization signals block and / or physical broadcast channel.

[0053] In some embodiments, in order to save signaling overhead, etc., multiple reference signal resources may be divided into multiple sets (the reference signal resource set is sometimes also called the reference signal resource group, such as CSI-RS resource set, CSI-IM resource set, SRS resource set). The reference signal resource set includes at least one reference signal resource, and multiple reference signal resource sets can come from the same reference signal resource setting (such as CSI-RS resource setting, SRS resource setting, where the CSI-RS resource setting may be merged with the CSI-IM resource setting and both are called CSI-RS resource setting) to configure parameter information.

[0054] In some embodiments, a time instance represents a time period, such as a time slot, for example, a time slot (slot), a mini-slot (mini slot), or a symbol group. A time slot or a mini-slot may include at least one symbol. Here, a symbol refers to a time unit in a sub-frame, a frame, or a time slot, and the unit may be milliseconds, microseconds, nanoseconds, seconds, etc. For example, it may be an orthogonal frequency division multiplexing (OFDM) symbol, a single-carrier frequency division multiple access (SC-FDMA) symbol, an orthogonal frequency division multiple access (OFDMA) symbol, or a symbol corresponding to various new waveforms in future communication systems. In some embodiments, the described time slot may be replaced with a time instance, a mini-slot, etc.

[0055] In some embodiments, the smallest transmission unit carrying a modulated symbol is a resource element (RE). An RE is the smallest time-frequency resource for transmitting a modulated symbol, including a frequency-domain sub-carrier and a wireless resource on a symbol. The wireless resources composed of multiple symbols and multiple sub-carriers form a physical resource block (PRB).

[0056] In some embodiments, a communication node will select an information processing method to process the obtained information (such as channel information, channel matrix information, time-domain channel information, frequency-domain channel information, angle information, position information), so as to obtain an information processing result. The processing result includes one or more of the described channel state information, or one or more of the beam parameter information.

[0057] In some embodiments, the information processing method may be a traditional information processing method or various advanced information processing methods. The advanced information processing methods include, but are not limited to, information processing methods based on artificial intelligence (AI).

[0058] In some embodiments, the information processing methods include at least a linear information processing method and a non-linear information processing method. Among them, the non-linear information processing method, as an important information processing means, includes but is not limited to various advanced information processing technologies, such as artificial intelligence (AI), etc. In some embodiments, for the sake of convenience of description, the non-linear information processing method is also referred to as the first information processing method, and the linear information processing method is also referred to as the second information processing method.

[0059] In some embodiments, artificial intelligence includes machine learning (ML), deep learning, reinforcement learning, transfer learning, deep reinforcement learning, meta-learning, etc., which are devices, components, software, modules, models, functional modules, functional functions, etc. with self-learning capabilities. In some embodiments, artificial intelligence is implemented through an artificial intelligence network (or neural network). The neural network includes multiple layers, and each layer includes at least one node. In one example, the neural network includes an input layer, an output layer, and at least one hidden layer. The artificial intelligence network can be implemented through a model, where the model can include a neural network model. The neural network model includes a neural network model structure and / or neural network model parameters. Among them, the neural network model structure can be abbreviated as the model structure, and the neural network model parameters can be abbreviated as network parameters or model parameters. A model structure defines the number of layers of the neural network, the size of each layer, the activation function, the connection situation, the convolution kernel and the convolution step size, the convolution type, etc. of the network architecture, and the network parameters are the values and / or biases of each layer of the neural network model and their value ranges. A model structure can correspond to multiple sets of different neural network model parameter values to adapt to different scenarios. The neural network model parameters are obtained through online training or offline training methods. For example, by inputting at least one sample, the neural network model is trained to obtain the neural network model parameters.

[0060] In some embodiments, a model refers to a data stream from the original input of a sample to the output target passing through multiple linear or non-linear components. The model mentioned above includes a neural network model, a non-artificial intelligence module for processing information or its corresponding model, a functional component or function that maps input information to output information (where the mapping includes linear mapping and non-linear mapping). In some embodiments, each model corresponds to a model indicator (Model ID) or a model identity (Model ID). In some embodiments, the model identity may also have one of the following other equivalent names or concepts: model index, first identifier, function indicator (ID), model indicator, etc.

[0061] In some embodiments, a model includes a model structure and model parameters. For example, the model can be a neural network model, which includes a neural network model structure and neural network model parameters, used to describe the structure of the neural network and the parameter values of the neural network respectively. A neural network model structure can correspond to multiple neural network model parameters, that is, the neural network model structures can be the same, but the corresponding neural network model parameter values can be different.

[0062] In some embodiments, a communication node sends a functionality or a functionality index to another communication node to inform the terminal that the functionality can be used to process information. Herein, the functionality can also be referred to as a functional module, a functional function, a functional mapping, etc., and is used to describe the characteristics or types of information processing methods. The types of information processing methods include various ones, such as those for positioning, beam management, CSI prediction, beam prediction, channel estimation, etc., and the characteristics of the information processing methods include but are not limited to the description of the scenario adapted by the functionality, the description of the input parameters, the description of the output parameters, and which category of measurement parameters the output result is. Among them, one functionality corresponds to one or more information processing methods, and each information processing method can be implemented by one or more models. Or one functionality can be implemented by one or more models.

[0063] In some examples, the model parameters of the neural network are obtained through online training or offline training. For example, by inputting at least one sample, the neural network model parameters are trained. Among them, the sample includes at least one feature and at least one label. The feature of the sample is used as the input of the model, and the label of the sample is an ideal value that the output of the model needs to approximate, and is used for performance monitoring or calculating the loss function, etc.

[0064] In some examples, in order to better transmit data or signals, a base station or a terminal needs to obtain measurement parameters, and the measurement parameters may include channel state information or other parameters for characterizing a channel. Among them, the channel state information may include at least one of the following: channel state information-reference signal resource indicator (CSI-RS resource indicator, CRI), synchronization signals block resource indicator (SSBRI), layer 1 reference signal received power (L1 reference signal received power, L1-RSRP or RSRP), differential RSRP; layer 1 reference signal signal-to-interference noise ratio (L1 signal-to-interference noise ratio, L1-SINR or SINR), differential L1-SINR; reference signal received quality (RSRQ), differential RSRQ, channel quality indicator (CQI), precoding matrix indicator (PMI), layer indicator (LI), rank indicator (RI), precoding information.

[0065] In some embodiments, the beam includes a transmit beam, a receive beam, a receive beam and a transmit beam pair, a transmit beam and a receive beam pair. In some embodiments, the beam can be understood as a kind of resource, such as a reference signal resource, a transmit-end spatial filter, a receive-end spatial filter, a spatial filter, a spatial reception parameter, transmit-end precoding, receive-end precoding, an antenna port, an antenna weight vector, an antenna weight matrix, etc. The beam index can be replaced by a resource index (such as a reference signal resource index) because the beam can be bound to a resource in at least one of some time domain, frequency domain, and code domain for transmission. The beam can also be a transmission (transmit / receive) mode; the said transmission mode can include spatial division multiplexing, frequency domain / time domain diversity, beamforming, etc. The angle information can include at least one of the following: angle of arrival (AOA), angle of departure (AOD). When the angle information includes azimuth angle and elevation angle, the angle of arrival includes the zenith angle of arrival (ZOA) and the azimuth angle of arrival (AOA), and the angle of departure includes the zenith angle of departure (ZOD) and the azimuth angle of departure (AOD). In some embodiments, the beam pair includes a combination of a transmit beam and a receive beam.

[0066] In some embodiments, the beam direction or beam angle can correspondingly include at least one of the following: angle of arrival (AOA), angle of departure (AOD), a vector or vector index constructed by at least one angle such as AOA, AOD, a discrete Fourier transformation (DFT) vector, a codeword in a codebook, a transmit beam index, a receive beam index, a transmit beam group index, a receive beam group index.

[0067] In the embodiments of the present disclosure, the feedback CSI can also be referred to as transmission CSI or transmit CSI, for example, the channel state information is carried on the uplink transmission resource for feedback or transmission. Both the uplink transmission resource and the CSI to be transmitted on the uplink transmission resource are indicated by a channel state information reporting configuration. In one example, transmitting a CSI report means transmitting the content to be transmitted indicated in the CSI report, including but not limited to channel state information, where transmission includes transmit or receive, and can also be replaced by feedback or receive.

[0068] In some embodiments, the antenna is a physical antenna. In some examples, the antenna is a logical antenna. In some examples, the concepts of port and antenna, antenna port, reference signal port, and pilot port are interchangeable. In some examples, the antenna is a transmitting antenna. In some examples, the antenna is a receiving antenna. In some examples, the antenna includes an antenna pair of a transmitting antenna and a receiving antenna.

[0069] In some examples, the channel information is information obtained according to a reference signal (such as CSI-RS) for describing the channel environment between communication nodes. In some examples, the channel information is a complex matrix, and the size of the channel matrix is related to the number of transmitting antennas Nt, the number of receiving antennas Nr, and the resource elements.

[0070] For example, on a physical resource block (PRB), there is at least one channel matrix of Nr*Nt.

[0071] In some embodiments, the channel information H may include at least one of the following: time-domain channel information, frequency-domain channel information, one or more eigenvectors of the correlation matrix corresponding to the time-domain channel information, one or more singular vectors of the correlation matrix corresponding to the time-domain channel information, one or more eigenvectors of the correlation matrix corresponding to the frequency-domain channel information, one or more singular vectors of the correlation matrix corresponding to the frequency-domain channel information, a precoding matrix corresponding to the frequency-domain channel or a precoding matrix corresponding to the time-domain channel, one or more codewords corresponding to the frequency-domain channel, or one or more codewords corresponding to the time-domain channel.

[0072] In some embodiments, the partial channel information includes at least one of the following: channel information on one or more ports, channel information on one or more resource elements, and channel information on one or more layers. The entire channel information is the above-mentioned channel information H.

[0073] As Figure 2 shown, the present disclosure provides a method for transmitting performance parameters, and the method includes the following steps:

[0074] S101. Obtain M first parameters and N second parameters, where N and M are positive integers.

[0075] In some embodiments, M is an integer greater than 1, and N is an integer greater than or equal to M.

[0076] In some embodiments, the above-mentioned one first parameter includes but is not limited to one of the following parameters: L1-RSRP, differential L1-RSRP, L1-SINR, differential L1-SINR, probability, L1-RSRQ, differential L1-RSRQ. The above-mentioned one second parameter includes but is not limited to one of the following parameters: L1-RSRP, differential L1-RSRP, L1-SINR, differential L1-SINR, probability, L1-RSRQ, differential L1-RSRQ, partial or all channel information. Of course, in some embodiments, the first parameter or the second parameter may also be other channel state information parameters, which are not limited herein.

[0077] Exemplarily, a wireless communication system may include one or more base stations and one or more terminals. Among them, each base station may include multiple antennas, and each terminal may include one or more antennas. The base station sends reference signals, and the terminal receives the reference signals sent by the base station and measures the reference to obtain channel state information, such as channel state information such as L1-RSRP, differential L1-RSRP, L1-SINR, differential L1-SINR, probability, L1-RSRQ, differential L1-RSRQ, partial or all channel information. In some embodiments, the channel state information obtained here can be used as the above-mentioned first parameter or second parameter.

[0078] In one example, for transmitting data or signals, a wireless communication system generates N beams, where N is a positive integer, and one or more of the N beams can be used to transmit data or signals.

[0079] To obtain the beam for transmitting data or signals, generally the base station can send multiple reference signals on multiple reference signal resources, and each reference signal corresponds to a beam. Thus, the terminal can receive the multiple reference signals and measure the multiple reference signals to obtain multiple channel state information (CSI). Then, the beam suitable for transmitting data or signals can be obtained by using the multiple CSI obtained. In one example, the number of the multiple CSI obtained is N, and one or more beams corresponding to the largest one or more CSI among the N CSI can be used as the preferred beam, and the preferred beam is used for data or signal transmission. The overhead of this beam scanning is relatively large, and an efficient beam scanning method needs to be further studied.

[0080] In one example, the base station sends reference signals of partial ports (such as M ports), the base station receives the reference signals of the M ports, and obtains the channel information on the M ports, and uses the first information processing method to generate the channel information on N ports from the channel information on the M ports.

[0081] In one example, the base station transmits reference signals on a part of resource elements (such as M resource elements), receives the reference signals on the M resource elements, obtains channel information on the M resource elements, and generates channel information on N resource elements from the channel information on the M resource elements by using a first information processing method.

[0082] In some embodiments, N second parameters can be obtained according to M first parameters and the first information processing method. In some embodiments, the first information processing method can be an information processing method using AI.

[0083] Exemplarily, the terminal can receive reference signals on M reference signal resources, measure and obtain M first parameters, and then use the M first parameters as the input of a model, and the model outputs N second parameters. Among them, the N second parameters can be understood as predicted CSI, and the M first parameters can be understood as actually measured CSI. Here, generally, N is greater than or equal to M.

[0084] In the technical solution provided by the present disclosure, the information processing method can also be replaced with a specific implementation form thereof, that is, the information processing method is implemented through a model. That is to say, the model in the following text can also be replaced with the information processing method, and will not be repeated one by one hereinafter. Moreover, the model outputting N second parameters can also be described as generating or obtaining N second parameters based on the model. That is to say, the model outputting N second parameters in the following text can also be replaced with generating N second parameters or obtaining N second parameters, and will not be repeated one by one hereinafter.

[0085] In one example, accurate channel state information can be obtained through various advanced technologies. Taking the first information processing method as an information processing method using AI as an example, accurate channel state information can be obtained by using fewer transmitted reference signals. For example, M reference signals are transmitted, each reference signal corresponds to a beam, and each reference signal can be transmitted on a reference signal resource. Furthermore, M CSI, that is, the above-mentioned M first parameters, are obtained by measuring the M reference signals, and the obtained M first parameters are input into the first information processing method (or the corresponding model) to obtain N CSI output by the model, that is, the above-mentioned N second parameters. Furthermore, one or more beams corresponding to the largest one or more second parameters among the N second parameters can be used as preferred beams, and the preferred beams are used for data or signal transmission. In some embodiments, the model can also directly output one or more beams as preferred beams for data or signal transmission.

[0086] In some embodiments, the beams corresponding to the M first parameters can be a subset of the beams corresponding to the N second parameters. Exemplarily, such as Figure 3As shown, there are a total of 32 beams including 4 rows and 8 columns, N = 32. Among them, M = 8 beams are the beams corresponding to M first parameters, and the reference signals corresponding to these M beams are actually transmitted. Furthermore, the reference signals corresponding to the remaining 24 beams can be predicted according to the above first information processing method, for example, using the information processing method of AI. Exemplarily, for ease of description, the set including all N beams can be referred to as Set A. The set including M beams is called Set B. That is, the reference signals corresponding to the Set B beams are actually transmitted, while the reference signals corresponding to the beams other than Set B are not the actually transmitted reference signals, and the corresponding channel state information is obtained through model prediction.

[0087] Exemplarily, as Figure 3 shown, taking RSRP as an example, the RSRP corresponding to the Set B beams can be used as the input, so that the RSRP corresponding to the Set A beams can be predicted, and the optimal beam can be found from them as the transmission beam. Furthermore, when performing performance monitoring, it is usually also necessary to send the reference signals corresponding to 32 beams (Set A) (each reference signal is transmitted on a reference signal resource) to determine the performance of the measured RSRP corresponding to each beam. For example, compare the maximum value of the predicted RSRP and the maximum value of the actually measured RSRP of Set A to determine the performance of the model prediction. However, this method requires sending the beams of Set A as tags, resulting in a large overhead. Therefore, the technical solution provided in the present disclosure can use the RSRP corresponding to the beams of Set B for model monitoring.

[0088] In some embodiments, the resource set corresponding to M first parameters is a subset of the resource set corresponding to N second parameters. Among them, the resource set corresponding to M first parameters and / or the resource set corresponding to N second parameters is one of the following: reference signal resource set, time-domain transmission resource set, frequency-domain transmission resource set, space-domain transmission resource set, reference signal resource index set, time-domain transmission resource index set, frequency-domain transmission resource index set, space-domain transmission resource index set.

[0089] In some embodiments, the space-domain transmission resources include one of the following: beam, beam corresponding, transmit beam, receive beam, spatial reception parameter, precoding matrix index, precoding matrix, eigenvector, eigenmatrix.

[0090] In some examples, the set of channel state information reference signals corresponding to M first parameters is a subset of the set of channel state information reference signals corresponding to N second parameters;

[0091] In some examples, the set of channel state information resource indexes corresponding to M first parameters is a subset of the set of channel state information resource indexes corresponding to N second parameters;

[0092] In some examples, the set of beams corresponding to the M first parameters is a subset of the set of beams corresponding to the N second parameters;

[0093] In some examples, the number of beams corresponding to the M first parameters is less than the number of beams corresponding to the N second parameters.

[0094] In one example, the number of beams corresponding to the M first parameters is less than the number of beams corresponding to the N second parameters, where the M first parameters correspond to M wide beams, the N second parameters correspond to N narrow beams, and M is less than N. For example, N is an integer multiple of M.

[0095] In some embodiments, M is less than or equal to N. By only transmitting the reference signals on the M reference signal resources, M channel state information is measured, and the channel state information corresponding to the N reference signals is obtained through the M channel state information by means of information processing (or model). The performance monitoring is performed using the obtained channel state information corresponding to the N reference signals and the measured M channel state information, thereby reducing the overhead of the reference signal resources.

[0096] S102. Determine a first performance parameter according to the M first parameters and the N second parameters.

[0097] In some embodiments, K first parameters can be determined from the M first parameters and K second parameters can be determined from the N second parameters. Then, according to the K first parameters determined from the M first parameters and the K second parameters determined from the N second parameters, the first performance parameter is determined. Wherein, K is an integer less than or equal to M and less than or equal to N.

[0098] In some embodiments, the K first parameters determined from the M first parameters satisfy any one of the following:

[0099] The K first parameters are the largest K first parameters among the M first parameters;

[0100] The K first parameters are the smallest K first parameters among the M first parameters;

[0101] The K first parameters are randomly determined K first parameters among the M first parameters;

[0102] The K first parameters are K equally spaced first parameters among the M first parameters;

[0103] The K first parameters are the K first parameters among the M first parameters that are greater than a first threshold;

[0104] The K first parameters are the K first parameters among the M first parameters determined based on a preset resource index;

[0105] The K first parameters are K of the M first parameters determined based on a signaling-indicated resource index.

[0106] In some embodiments or examples, if there is no special instruction, the K first parameters may be replaced with the determined K first parameters, the K first parameters determined among the M first parameters, etc. In some other embodiments, the “determined” may also be replaced with “selected”.

[0107] In some embodiments, the resource index involved in the present disclosure includes any one of the following: reference signal resource index, time-domain transmission resource index, frequency-domain transmission resource index, and space-domain transmission resource index. In some embodiments, the space-domain transmission resource includes one of the following: beam, beam correspondence, transmit beam, receive beam, spatial reception parameter, precoding matrix index, precoding matrix, eigenvector, and eigenmatrix.

[0108] In some embodiments, there are at least the following several possible implementation manners for the K second parameters determined from N second parameters:

[0109] Implementation manner 1: The K second parameters determined from the N second parameters satisfy any one of the following:

[0110] The K second parameters are the K largest second parameters among the N second parameters;

[0111] The K second parameters are the K smallest second parameters among the N second parameters;

[0112] The K second parameters are K randomly determined second parameters among the N second parameters;

[0113] The K second parameters are K equally spaced second parameters among the N second parameters;

[0114] The K second parameters are the K second parameters among the N second parameters that are greater than a second threshold;

[0115] The K second parameters are K second parameters among the N second parameters determined based on a preset resource index;

[0116] The K second parameters are K second parameters among the N second parameters determined based on a signaling-indicated resource index.

[0117] In some embodiments, the above resource index includes any one of the following: reference signal resource index, time-domain transmission resource index, frequency-domain transmission resource index, and space-domain transmission resource index.

[0118] In some embodiments or examples, if there is no special indication, the K second parameters can be replaced with the determined K second parameters, the determined K second parameters determined from the N second parameters, and so on. In some other embodiments, the "determined" can also be replaced with "selected".

[0119] The following is an exemplary description of obtaining K first parameters from M first parameters and obtaining K second parameters from N second parameters in combination with Implementation 1 and the above K first parameters:

[0120] Example 11: The K first parameters are the largest K first parameters among the M first parameters, and the K second parameters are the largest K second parameters among the N second parameters.

[0121] Exemplarily, the M first parameters can be sorted, and then the largest K first parameters among the sorted first parameters are selected as the K first parameters. And the N second parameters can be sorted, and then the largest K second parameters among the sorted second parameters are selected as the K second parameters for determining the first performance parameter. When K is equal to 1, the selected ones are the optimal first parameter and the optimal second parameter.

[0122] Example 12: The K first parameters are the smallest K first parameters among the M first parameters, and the K second parameters are the smallest K second parameters among the N second parameters.

[0123] Exemplarily, the M first parameters can be sorted, and then the smallest K first parameters among the sorted first parameters are selected as the K first parameters. And the N second parameters can be sorted, and then the smallest K second parameters among the sorted second parameters are selected as the K second parameters for determining the first performance parameter. When K is equal to 1, the selected ones are the smallest first parameter and the smallest second parameter.

[0124] Example 13: The K first parameters are randomly determined K first parameters among the M first parameters, and the K second parameters are randomly determined K second parameters among the N second parameters.

[0125] Exemplarily, the K first parameters can be selected from the M first parameters by means of random selection, and the K second parameters can be selected from the N second parameters by means of random selection.

[0126] Example 14: The K first parameters are K equally spaced first parameters among the M first parameters, and the K second parameters are K equally spaced second parameters among the N second parameters.

[0127] Exemplarily, K first parameters can be determined from M first parameters according to a preset spacing, and K second parameters can be determined from N second parameters according to the preset spacing.

[0128] Example 15: The K first parameters are the K first parameters among the M first parameters that are greater than the first threshold, and the K second parameters are the K second parameters among the N second parameters that are greater than the second threshold.

[0129] Exemplarily, K1 first parameters greater than the first threshold can be selected from the M first parameters. Then, when the value of K1 is greater than the value of K, the largest K of them can be selected as the K first parameters for determining the first performance parameter. Otherwise, when the value of K1 is less than or equal to the value of K, K1 first parameters can be selected. In addition, K2 second parameters greater than the second threshold value can be selected from the N second parameters. Then, when the value of K2 is greater than the value of K, the largest K of them can be selected as the K second parameters for determining the first performance parameter. Otherwise, when the value of K2 is less than or equal to the value of K, min(K1, K2) second parameters can be selected.

[0130] Example 16: The K first parameters are the K first parameters among the M first parameters determined based on a preset resource index, and the K second parameters are the K second parameters among the N second parameters determined based on the preset resource index.

[0131] Exemplarily, K first parameters can be selected from the M first parameters according to a pre-agreed or negotiated resource index as the K first parameters for determining the first performance parameter, and K second parameters can be selected from the N second parameters as the K second parameters for determining the first performance parameter. For example, the largest K second parameters among the N second parameters can be used as the K second parameters for determining the first performance parameter.

[0132] In addition, K first parameters can be selected from the M first parameters according to a pre-agreed rule or beam pattern as the K first parameters for determining the first performance parameter, and K second parameters can be selected from the N second parameters as the K second parameters for determining the first performance parameter.

[0133] Example 17: The K first parameters are the K first parameters among the M first parameters determined based on a resource index indicated by signaling, and the K second parameters are the K second parameters among the N second parameters determined based on the resource index indicated by signaling.

[0134] Exemplarily, K first parameters can be selected from M first parameters as the K first parameters for determining the first performance parameter according to the resource index indicated by the received signaling, and K second parameters can be selected from N second parameters as the K second parameters for determining the first performance parameter. For example, the largest K second parameters among the N second parameters can be used as the K second parameters for determining the first performance parameter.

[0135] In addition, K first parameters can be selected from M first parameters as the K first parameters for determining the first performance parameter according to the pattern indicated by the received high-layer and / or physical-layer signaling, and K second parameters can be selected from N second parameters as the K second parameters for determining the first performance parameter.

[0136] Implementation method 2: K second parameters whose resource indices are the same as those corresponding to the K first parameters can be determined among the N second parameters. For example, the resource index corresponding to the i-th first parameter among the K first parameters is D i , then the second parameter corresponding to D i is found among the N second parameters as the i-th second parameter among the K second parameters, where i = 1,..., K.

[0137] Among them, the resource index includes any one of the following: reference signal resource index, time-domain transmission resource index, frequency-domain transmission resource index, spatial-domain transmission resource index.

[0138] The following provides an exemplary description of obtaining K first parameters from M first parameters and obtaining K second parameters from N second parameters in combination with Implementation method 2 and the above K first parameters:

[0139] Example 21: The K first parameters are the largest K first parameters among the M first parameters, and the K second parameters are the K second parameters among the N second parameters whose resource indices are the same as those corresponding to the K first parameters.

[0140] Exemplarily, the M first parameters can be sorted, and then the largest K first parameters among the sorted first parameters can be selected as the K first parameters for determining the first performance parameter. And according to the resource indices corresponding to the determined K first parameters, K second parameters whose resource indices are the same as those corresponding to the K first parameters are determined among the N second parameters as the K second parameters for determining the first performance parameter.

[0141] Example 22: The K first parameters are the smallest K first parameters among the M first parameters, and the K second parameters are the K second parameters among the N second parameters whose resource indices are the same as those corresponding to the K first parameters.

[0142] Exemplarily, the M first parameters can be sorted, and then the smallest K first parameters among the sorted first parameters are selected as the K first parameters. And according to the resource indexes corresponding to the determined K first parameters, K second parameters with the same resource indexes as the K first parameters are determined from the N second parameters as the K second parameters for determining the first performance parameter.

[0143] Example 23: The K first parameters are K first parameters randomly determined from the M first parameters, and the K second parameters are K second parameters with the same resource indexes as the K first parameters among the N second parameters.

[0144] Exemplarily, K first parameters can be selected from the M first parameters in a random selection manner, and according to the resource indexes corresponding to the determined K first parameters, K second parameters with the same resource indexes as the K first parameters are determined from the N second parameters as the K second parameters for determining the first performance parameter.

[0145] Example 24: The K first parameters are K equally spaced first parameters among the M first parameters, and the K second parameters are K second parameters with the same resource indexes as the K first parameters among the N second parameters.

[0146] Exemplarily, K first parameters can be determined from the M first parameters according to a preset spacing first, and according to the resource indexes corresponding to the determined K first parameters, K second parameters with the same resource indexes as the K first parameters are determined from the N second parameters as the K second parameters for determining the first performance parameter.

[0147] Example 25: The K first parameters are K first parameters greater than a first threshold among the M first parameters, and the K second parameters are K second parameters with the same resource indexes as the K first parameters among the N second parameters.

[0148] Exemplarily, K first parameters greater than the first threshold can be selected from the M first parameters as the K first parameters for determining the first performance parameter. Otherwise, in the case where the value of K1 is less than or equal to the value of K, K1 first parameters can be selected. In addition, according to the resource indexes corresponding to the determined K first parameters, K second parameters with the same resource indexes as the K first parameters are determined from the N second parameters as the K second parameters for determining the first performance parameter.

[0149] Example 26: The K first parameters are K first parameters determined based on a preset resource index among the M first parameters, and the K second parameters are K second parameters with the same resource indexes as the K first parameters among the N second parameters.

[0150] Exemplarily, K first parameters can be selected from M first parameters according to a pre-agreed or negotiated resource index as the K first parameters for determining the first performance parameter, and according to the resource index corresponding to the determined K first parameters, K second parameters with the same resource index as the K first parameters are determined from N second parameters as the K second parameters for determining the first performance parameter.

[0151] In addition, K first parameters can be selected from M first parameters according to a pre-agreed rule or beam pattern as the K first parameters for determining the first performance parameter, and according to the resource index corresponding to the determined K first parameters, K second parameters with the same resource index as the K first parameters are determined from N second parameters as the K second parameters for determining the first performance parameter.

[0152] Example 27: The K first parameters are K first parameters determined from M first parameters based on the resource index indicated by signaling, and the K second parameters are K second parameters with the same resource index as the K first parameters among N second parameters.

[0153] Exemplarily, K first parameters can be selected from M first parameters according to the resource index indicated by the received signaling as the K first parameters for determining the first performance parameter, and according to the resource index corresponding to the determined K first parameters, K second parameters with the same resource index as the K first parameters are determined from N second parameters as the K second parameters for determining the first performance parameter.

[0154] In addition, K first parameters can be selected from M first parameters according to the pattern indicated by the received higher layer and / or physical layer signaling as the K first parameters for determining the first performance parameter, and K second parameters can be selected from N second parameters as the K second parameters for determining the first performance parameter.

[0155] Example 28: All M first parameters can be selected as the K first parameters for determining the first performance parameter, where K = M. Then, according to the resource index corresponding to the determined K first parameters, K second parameters with the same resource index as the K first parameters are determined from N second parameters as the K = M second parameters for determining the first performance parameter.

[0156] Implementation method 3: First, M second parameters can be determined from N second parameters, and the resource index corresponding to the M second parameters is the same as the resource index corresponding to the M first parameters. Then, K second parameters are determined from the M second parameters. For example, the resource index corresponding to the i-th first parameter among the M first parameters is D i, then find D among the N second parameters i The corresponding second parameter is used as the i-th second parameter among the M second parameters, where i = 1, …, M.

[0157] Among them, the K second parameters determined among the N second parameters satisfy any one of the following:[[]]END]]

[0158] The K second parameters are the largest K second parameters among the M second parameters;

[0159] The K second parameters are the smallest K second parameters among the M second parameters;

[0160] The K second parameters are K second parameters randomly determined among the M second parameters;

[0161] The K second parameters are K second parameters with equal spacing among the M second parameters;

[0162] The K second parameters are the K second parameters among the M second parameters that are greater than the second threshold;

[0163] The K second parameters are K second parameters determined among the M second parameters based on a preset resource index;

[0164] The K second parameters are K second parameters determined among the M second parameters based on a resource index indicated by a signaling.

[0165] The following exemplarily describes obtaining K first parameters from M first parameters and obtaining K second parameters from N second parameters in combination with implementation method 3 and the above K first parameters:

[0166] Example 31: The K first parameters are the largest K first parameters among the M first parameters, and the K second parameters are the largest K second parameters among the M second parameters.

[0167] Exemplarily, the M first parameters can be sorted, and then the largest K first parameters among the sorted first parameters are selected as the K first parameters. And M second parameters with the same resource index as the M first parameters can be selected from the N second parameters, and the M second parameters are sorted, and then the largest K second parameters among the sorted second parameters are selected as the K second parameters for determining the first performance parameter. It should be understood that the selected K first parameters can be regarded as the preferred first parameters most suitable for the current scenario, and the selected K second parameters can be regarded as the preferred second parameters. When K takes the value of 1, the selected one is the optimal first parameter and the optimal second parameter.

[0168] Example 32: The K first parameters are the K smallest first parameters among the M first parameters, and the K second parameters are the K smallest second parameters among the M second parameters.

[0169] Exemplarily, the M first parameters can be sorted, and then the K smallest first parameters among the sorted first parameters can be selected as the K first parameters. And M second parameters with the same resource index as the M first parameters can be selected from the N second parameters, and the M second parameters can be sorted, and then the K smallest second parameters among the sorted second parameters can be selected as the K second parameters for determining the first performance parameter. When K is 1, the smallest one of the first parameters and the smallest one of the second parameters are selected.

[0170] Example 33: The K first parameters are K first parameters randomly determined among the M first parameters, and the K second parameters are K second parameters randomly determined among the M second parameters.

[0171] Exemplarily, the K first parameters can be selected from the M first parameters in a random selection manner, and M second parameters with the same resource index as the M first parameters can be selected from the N second parameters, and the K second parameters can be selected from the M second parameters in a random selection manner.

[0172] Example 34: The K first parameters are K equally spaced first parameters among the M first parameters, and the K second parameters are K equally spaced second parameters among the M second parameters.

[0173] Exemplarily, the K first parameters can be determined from the M first parameters according to a preset spacing first, and M second parameters with the same resource index as the M first parameters can be selected from the N second parameters, and then the K second parameters can be determined from the M second parameters according to the preset spacing.

[0174] Example 35: The K first parameters are the K first parameters among the M first parameters that are greater than the first threshold, and the K second parameters are the K second parameters among the M second parameters that are greater than the second threshold.

[0175] Exemplarily, K1 first parameters greater than the first threshold can be selected from the M first parameters. Then, when the value of K1 is greater than the value of K, the largest K first parameters among them can be selected as the K first parameters for determining the first performance parameter. Otherwise, when the value of K1 is less than or equal to the value of K, the K1 first parameters can be selected.

[0176] In addition, select M second parameters from the N second parameters that are the same as the M first parameter resources indexes, and then K2 second parameters greater than the second threshold value can be selected from the M second parameters. Then, when the value of K2 is greater than the value of K, the largest K first parameters among them can be selected as the K second parameters for determining the first performance parameter. Otherwise, when the value of K2 is less than or equal to the value of K, min(K1, K2) second parameters can be selected.

[0177] Example 36: The K first parameters are K first parameters determined based on a preset resource index among the M first parameters, and the K second parameters are K second parameters determined based on a preset resource index among the M second parameters.

[0178] Exemplarily, K first parameters can be selected from the M first parameters as the K first parameters for determining the first performance parameter according to a convention or negotiated resource index, and M second parameters that are the same as the M first parameter resource indexes can be selected from the N second parameters. K second parameters can be selected from the M second parameters as the K second parameters for determining the first performance parameter. For example, the largest K second parameters among the M second parameters can be used as the K second parameters for determining the first performance parameter.

[0179] In addition, K first parameters can be selected from the M first parameters as the K first parameters for determining the first performance parameter according to a predefined rule or beam pattern, and M second parameters that are the same as the M first parameter resource indexes can be selected from the N second parameters. K second parameters can be selected from the M second parameters as the K second parameters for determining the first performance parameter.

[0180] Example 37: The K first parameters are K first parameters determined based on a resource index indicated by a signaling among the M first parameters, and the K second parameters are K second parameters determined based on a resource index indicated by a signaling among the M second parameters.

[0181] Exemplarily, K first parameters can be selected from the M first parameters as the K first parameters for determining the first performance parameter according to the resource index indicated by the received signaling, and M second parameters that are the same as the M first parameter resource indexes can be selected from the N second parameters. K second parameters can be selected from the M second parameters as the K second parameters for determining the first performance parameter. For example, the largest K second parameters among the M second parameters can be used as the K second parameters for determining the first performance parameter.

[0182] In addition, K first parameters can be selected from M first parameters as the K first parameters for determining the first performance parameter according to the pattern indicated by the received high-layer and / or physical-layer signaling, and M second parameters with the same resource index as the M first parameters are selected from N second parameters, and K second parameters are selected from the M second parameters as the K second parameters for determining the first performance parameter.

[0183] It should be noted that each example provided in this disclosure is only for illustrative purposes. On the premise of no contradiction, various implementation manners of the above K first parameters and K second parameters can be combined, and this disclosure does not make any limitation thereto.

[0184] In some embodiments, the first performance parameter can be used to monitor the performance of the first information processing method or the model corresponding to the first information processing method. For example, when the first performance parameter takes the first value or is greater than the preset threshold, it indicates that the output result of the first information processing method does not meet the requirements of the current environment, and it is necessary to perform operations such as switching the information processing method, updating, and retraining the parameters. Otherwise, for example, when the first performance parameter takes the second value or is less than the preset threshold, it indicates that the output result of the first information processing method meets the requirements of the current environment. In some examples, the environment can be replaced by a channel, a scenario, etc.

[0185] In some other embodiments, due to different implementation manners of the first information processing method or the model, it may also occur that when the first performance parameter takes the second value or is less than the preset threshold, it indicates that the output result of the first information processing method does not meet the requirements of the current environment, and it is necessary to perform operations such as switching the information processing method, updating, and retraining the parameters. Otherwise, when the first performance parameter takes the first value or is greater than the preset threshold, it indicates that the output result of the first information processing method meets the requirements of the current environment. And in some other embodiments, a parameter being greater than a threshold can be replaced by a parameter being greater than or equal to a threshold; a parameter being less than a threshold can be replaced by a parameter being less than or equal to a threshold, and details will not be repeated hereinafter.

[0186] In some embodiments, a comparison parameter L can be obtained according to the K first parameters determined from the M first parameters and the K second parameters determined from the N second parameters. Further, when the comparison parameter L meets the first preset condition, the first performance parameter takes the first value. Or, when the comparison parameter L does not meet the first preset condition, the first performance parameter takes the second value.

[0187] In some embodiments, L is any one of the following:

[0188] L is the number of the K first parameters that are greater than or equal to the corresponding second parameters;

[0189] L is the number of differences between the K first parameters and the corresponding second parameters that are greater than a third threshold value;

[0190] L is the number of differences between the sums of the K first parameters added with a bias value and the corresponding second parameters that are greater than a fourth threshold value;

[0191] L is the number of ratios between the K first parameters and the corresponding second parameters that are greater than a fifth threshold value;

[0192] L is the number of ratios between the sums of the K first parameters added with a bias value and the corresponding second parameters that are greater than a sixth threshold value.

[0193] In some embodiments, the above-mentioned bias value is a value configured by high-layer signaling, preset, or agreed upon between the transmitter and the receiver. For example, the K biases Oi are configured by high-layer signaling, or are default, or are determined through negotiation between the terminal and the base station, where the value of the bias can be a real number.

[0194] Example 41: L is the number of first parameters among the K first parameters that are greater than or equal to the corresponding second parameters.

[0195] Exemplarily, the magnitude of the i-th first parameter among the K first parameters and the i-th second parameter among the K second parameters can be compared. When the i-th first parameter is greater than the i-th second parameter, the statistical variable L is incremented by 1, where the initial value of L is 0 and i = 1, …, K. Thus, the number of first parameters among the K first parameters that are greater than or equal to the corresponding second parameters can be obtained, that is, the finally statistically obtained value of L. Thus, when L satisfies a first preset condition, the first performance parameter takes a first value. Or, when L does not satisfy the first preset condition, the first performance parameter takes a second value.

[0196] Example 42: L is the number of differences between the K first parameters and the corresponding second parameters that are greater than a third threshold value.

[0197] Exemplarily, the difference (or the absolute value of the difference) between the i-th first parameter among the K first parameters and the i-th second parameter among the K second parameters can be determined, and then it can be determined whether this difference is greater than the third threshold value. When the difference between the i-th first parameter and the i-th second parameter is greater than the third threshold value, the statistical variable L is incremented by 1, where the initial value of L is 0 and i = 1, …, K. Thus, the number of differences between the K first parameters and the corresponding second parameters that are greater than the third threshold value can be obtained, that is, the finally statistically obtained value of L. Thus, when L satisfies a first preset condition, the first performance parameter takes a first value. Or, when L does not satisfy the first preset condition, the first performance parameter takes a second value.

[0198] Example 43. L is the number of first parameters for which the difference between the sum of K first parameters and the corresponding second parameters after adding the bias value is greater than the fourth threshold value.

[0199] Exemplarily, it is possible to determine the difference (or the absolute value of the difference) obtained by subtracting the i-th second parameter among the K second parameters from the sum obtained by adding the i-th bias value Oi to the i-th first parameter among the K first parameters, and then determine whether the difference is greater than the fourth threshold value. When the sum of the i-th first parameter and the i-th bias Oi minus the i-th second parameter is greater than the fourth threshold value, the statistical variable L is incremented by 1, where the initial value of L is 0 and i = 1, …, K. Thus, it is possible to obtain the number of first parameters for which the difference between the sum of the K first parameters and the corresponding second parameters after adding the bias value is greater than the fourth threshold value, that is, the finally obtained value of L. Thus, when L satisfies the first preset condition, the first performance parameter takes the first value. Or, when L does not satisfy the first preset condition, the first performance parameter takes the second value.

[0200] Example 44. L is the number of ratios of the K first parameters to the corresponding second parameters that are greater than the fifth threshold value.

[0201] Exemplarily, it is possible to determine the ratio of the i-th first parameter among the K first parameters to the i-th second parameter among the K second parameters. When the ratio is greater than the fifth threshold value, the statistical variable L is incremented by 1, where the initial value of L is 0 and i = 1, …, K. Thus, it is possible to obtain the number of ratios of the K first parameters to the corresponding second parameters that are greater than the fifth threshold value, that is, the finally obtained value of L. Thus, when L satisfies the first preset condition, the first performance parameter takes the first value. Or, when L does not satisfy the first preset condition, the first performance parameter takes the second value.

[0202] Example 45. L is the number of first parameters for which the ratio of the sum of the K first parameters and the corresponding second parameters after adding the bias value is greater than the sixth threshold value.

[0203] Exemplarily, it is possible to determine the ratio of the sum obtained by adding the i-th bias value Oi to the i-th first parameter among the K first parameters to the i-th second parameter among the K second parameters. When the ratio is greater than the sixth threshold value, the statistical variable L is incremented by 1, where the initial value of L is 0 and i = 1, …, K. Thus, it is possible to obtain the number of first parameters for which the ratio of the sum of the K first parameters and the corresponding second parameters after adding the bias value is greater than the sixth threshold value, that is, the finally obtained value of L. Thus, when L satisfies the first preset condition, the first performance parameter takes the first value. Or, when L does not satisfy the first preset condition, the first performance parameter takes the second value.

[0204] In some embodiments, a parameter L satisfying a first preset condition includes, but is not limited to, any one of the following:

[0205] L is greater than a preset value;

[0206] The ratio between L and K is greater than a first preset ratio;

[0207] The ratio between L and M is greater than a second preset ratio;

[0208] The ratio between L and N is greater than a third preset ratio.

[0209] Similarly, in some embodiments, a comparison parameter L1 can be obtained based on K first parameters determined from M first parameters and K second parameters determined from N second parameters. Further, in the case where the comparison parameter L1 does not satisfy the first preset condition, the first performance parameter takes a first value. Or, in the case where the comparison parameter L1 satisfies the first preset condition, the first performance parameter takes a second value. Here, L1 is a non - negative integer and can be K - L.

[0210] For example, in the case where the comparison parameter L1 is greater than the preset value, the first performance parameter takes the first value. Conversely, in the case where the comparison parameter L1 is less than or equal to the preset value, the first performance parameter takes the first value.

[0211] Again, for example, a comparison parameter L1 is obtained based on K first parameters determined from M first parameters and K second parameters determined from N second parameters, and the ratio between L1 and K is determined. In the case where the ratio between L1 and K is greater than the first preset ratio, the first performance parameter takes the first value. Conversely, in the case where the ratio between L1 and K is less than or equal to the first preset ratio, the first performance parameter takes the first value.

[0212] Again, for example, a comparison parameter L1 is obtained based on K first parameters determined from M first parameters and K second parameters determined from N second parameters, and the ratio between L1 and M is determined. In the case where the ratio between L1 and K is greater than the second preset ratio, the first performance parameter takes the first value. Conversely, in the case where the ratio between L1 and K is less than or equal to the second preset ratio, the first performance parameter takes the first value.

[0213] Again, for example, a comparison parameter L1 is obtained based on K first parameters determined from M first parameters and K second parameters determined from N second parameters, and the ratio between L1 and N is determined. In the case where the ratio between L1 and K is greater than the third preset ratio, the first performance parameter takes the first value. Conversely, in the case where the ratio between L1 and K is less than or equal to the third preset ratio, the first performance parameter takes the first value.

[0214] In some embodiments, L is any one of the following:

[0215] L is the number of the K first parameters that are greater than or equal to the corresponding second parameters;

[0216] L is the number of the K first parameters for which the difference from the corresponding second parameters is less than a third threshold value;

[0217] L is the number of the K first parameters for which the difference between the sum of each first parameter and the bias value and the corresponding second parameter is less than a fourth threshold value;

[0218] L is the number of the K first parameters for which the ratio to the corresponding second parameters is less than a fifth threshold value;

[0219] L is the number of the K first parameters for which the ratio between the sum of each first parameter and the bias value and the corresponding second parameter is less than a sixth threshold value.

[0220] In some embodiments, when K takes the value of 1, the value of the first performance parameter can be more simply described as follows: The method for determining the first performance parameter according to the determined first parameter and the determined second parameter includes one of the following:

[0221] If the determined first parameter is greater than or equal to the determined second parameter, the first performance parameter takes a first value; if the determined first parameter is less than the determined second parameter, the first performance parameter takes a second value;

[0222] If the difference between the determined first parameter and the determined second parameter is greater than or equal to a third threshold, the first performance parameter takes a first value; if the difference between the determined first parameter and the determined second parameter is less than the third threshold, the first performance parameter takes a second value;

[0223] If the difference between the sum of the determined first parameter and the bias value and the determined second parameter is greater than or equal to a fourth threshold, the first performance parameter takes a first value; if the difference between the sum of the determined first parameter and the bias value and the determined second parameter is less than the fourth threshold, the first performance parameter takes a second value;

[0224] If the ratio of the determined first parameter to the determined second parameter is greater than or equal to a fifth threshold, the first performance parameter takes a first value; if the ratio of the determined first parameter to the determined second parameter is less than the fifth threshold, the first performance parameter takes a second value;

[0225] If the ratio of the sum of the determined first parameter and the bias value to the determined second parameter is greater than or equal to a sixth threshold, the first performance parameter takes a first value; if the ratio of the sum of the determined first parameter and the bias value to the determined second parameter is less than the sixth threshold, the first performance parameter takes a second value;

[0226] Here, the determined first parameter is one of the M first parameters, and the determined second parameter is one of the N second parameters.

[0227] In some embodiments, a first statistical value may be determined according to K first parameters and a second statistical value may be determined according to K second parameters; furthermore, a first performance parameter is determined according to the first statistical value and the second statistical value.

[0228] In some embodiments, the first statistical value includes one of the following: the maximum value of the K first parameters, the minimum value of the K first parameters, the average value of the K first parameters, the variance of the K first parameters, the geometric mean of the K first parameters. In addition, the second statistical value includes one of the following: the maximum value of the K second parameters, the minimum value of the K second parameters, the average value of the K second parameters, the variance of the K second parameters, the geometric mean of the K second parameters, the weighted average of the K second parameters, the harmonic mean of the K second parameters, the arithmetic mean of the K second parameters.

[0229] In a possible implementation, determining the first performance parameter according to the first statistical value and the second statistical value specifically includes:

[0230] When the first statistical value and the second statistical value meet the second preset condition, the first performance parameter takes a first value; or,

[0231] When the first statistical value and the second statistical value do not meet the second preset condition, the first performance parameter takes a second value.

[0232] Among them, the second preset condition includes any one of the following:

[0233] The first statistical value is greater than or equal to the second statistical value;

[0234] The difference between the first statistical value and the second statistical value is greater than a seventh threshold;

[0235] The absolute value of the difference between the first statistical value and the second statistical value is greater than an eighth threshold;

[0236] The ratio of the first statistical value to the second statistical value is greater than a ninth threshold;

[0237] The absolute value of the ratio of the first statistical value to the second statistical value is greater than a tenth threshold.

[0238] Example 46: When the statistical value of the K first parameters, that is, the first statistical value, is greater than or equal to the statistical value of the K second parameters, that is, the second statistical value, it is determined that the first performance parameter takes the first value. Otherwise, when the statistical value of the K first parameters, that is, the first statistical value, is less than the statistical value of the K second parameters, that is, the second statistical value, it is determined that the first performance parameter takes the second value.

[0239] Example 47. When the difference between the statistical value of K first parameters, i.e., the first statistical value, and the statistical value of K second parameters, i.e., the second statistical value, is greater than a preset seventh threshold value, it is determined that the first performance parameter takes a first value. Otherwise, when the difference between the statistical value of K first parameters, i.e., the first statistical value, and the statistical value of K second parameters, i.e., the second statistical value, is less than or equal to the preset seventh threshold value, it is determined that the first performance parameter takes a second value.

[0240] Example 48. When the absolute value of the difference between the statistical value of K first parameters, i.e., the first statistical value, and the statistical value of K second parameters, i.e., the second statistical value, is greater than a preset eighth threshold value, it is determined that the first performance parameter takes a first value. Otherwise, when the absolute value of the difference between the statistical value of K first parameters, i.e., the first statistical value, and the statistical value of K second parameters, i.e., the second statistical value, is less than or equal to the preset eighth threshold value, it is determined that the first performance parameter takes a second value.

[0241] Example 49. When the ratio of the statistical value of K first parameters, i.e., the first statistical value, to the statistical value of K second parameters, i.e., the second statistical value, is greater than a preset ninth threshold value, it is determined that the first performance parameter takes a first value. Otherwise, when the ratio of the statistical value of K first parameters, i.e., the first statistical value, to the statistical value of K second parameters, i.e., the second statistical value, is less than or equal to the preset ninth threshold value, it is determined that the first performance parameter takes a second value.

[0242] Example 410. When the absolute value of the ratio of the statistical value of K first parameters, i.e., the first statistical value, to the statistical value of K second parameters, i.e., the second statistical value, is greater than a preset tenth threshold value, it is determined that the first performance parameter takes a first value. Otherwise, when the absolute value of the ratio of the statistical value of K first parameters, i.e., the first statistical value, to the statistical value of K second parameters, i.e., the second statistical value, is less than or equal to the preset tenth threshold value, it is determined that the first performance parameter takes a second value.

[0243] In a possible implementation, determining the first performance parameter according to the first statistical value and the second statistical value specifically includes any one of the following:

[0244] Determine the difference between the first statistical value and the second statistical value as the first performance parameter;

[0245] Determine the absolute value of the difference between the first statistical value and the second statistical value as the first performance parameter;

[0246] Determine the ratio of the first statistical value to the second statistical value as the first performance parameter;

[0247] Determine the absolute value of the ratio of the first statistical value to the second statistical value as the first performance parameter;

[0248] The parameter value obtained by normalizing the difference between the first statistical value and the second statistical value;

[0249] The parameter value obtained by normalizing the absolute value of the difference between the first statistical value and the second statistical value.

[0250] In one example, the first performance parameter can be determined based on M first parameters, that is, the K first parameters in the above example can be replaced by the M first parameters. In addition, the K second parameters in the above example can be replaced by the N second parameters, or can be replaced by M second parameters among the N second parameters whose resource indices are the same as those of the M first parameters.

[0251] In addition, the above first performance parameter takes the first value and the second value as two different values, which can be two different real numbers, or two different boolean values, or two different strings, or two different characters, etc.

[0252] In one example, the first performance parameter can also be a real number, or take values in an interval, for example, the interval is [a, b], that is, the first performance parameter is a real number greater than or equal to a and less than or equal to b. Wherein, a and b are real numbers, for example, the interval can be [0, 1] or [-1, 1], or [-0.5, 0.5]. For example, the maximum value of the K first parameters minus the maximum value of the K second parameters can be used as the first performance parameter. Or, the absolute value of the difference between the maximum value of the K first parameters and the maximum value of the K second parameters can be used as the first performance parameter. Or, the difference between the maximum value of the K first parameters and the maximum value of the K second parameters divided by a normalization value can be used as the first performance parameter. Or, the absolute value of the difference between the maximum value of the K first parameters and the maximum value of the K second parameters divided by a normalization value can be used as the first performance parameter. Wherein, the normalization value can be the maximum value of the N second parameters or the M first parameters.

[0253] In one example, the i-th first parameter and the i-th second parameter have the same resource index. In some examples, the K first parameters can be sorted according to a predefined rule, and the K second parameters can be sorted according to a predefined rule. Then, the i-th first parameter and the i-th second parameter are taken for relevant comparison or addition and subtraction operations. The predefined sorting rules include, but are not limited to, one of the following: sorting the K X parameters in descending order of their values, or sorting the K X parameters in ascending order of their values; sorting the resource indices of the K X parameters in descending order, and sorting the resource indices of the K X parameters in ascending order. Here, the X parameter can be the first parameter and / or the second parameter.

[0254] In some embodiments, the first performance parameter may be calculated based on multiple different time slots or different samples. For example, in the current time slot, the first performance parameter is obtained according to the above method for determining the first performance parameter. Before this, the first performance parameters of C - 1 other time slots have also been obtained through the same method in other time slots.

[0255] Among them, each of the first performance parameters in the C - 1 other time slots is determined based on M first parameters and N second parameters corresponding to the time slot when the first performance parameter is obtained, where C is a positive integer.

[0256] It should be noted that in order to obtain a more accurate first performance parameter, it is usually necessary to statistically sample multiple moments, and a statistically reliable first performance parameter is obtained based on the samples at different moments. In one example, in C time slots, at each time slot, the terminal will perform an operation to obtain the first performance parameter of the current time slot. For example, the terminal can receive reference signals on M reference signal resources and measure M first parameters. And the M first parameters obtained are used as the input of the model, and N second parameters are output. Then, the first performance parameter is determined according to the M first parameters and the N second parameters. In this way, the terminal obtains the final first performance parameter based on the first performance parameters in the most recent C time slots.

[0257] Exemplarily, the first performance parameters of the above C time slots include the first performance parameters of C - 1 historical time slots and the first performance parameter of one current time slot. In one example, for each of the C time slots, the M reference signal resources of each time slot correspond to the same M beams. In one instance, for the C time slots, the M reference signal resources in some time slots correspond to different M beams.

[0258] In some embodiments, the resource index sets corresponding to the C first performance parameters are the same.

[0259] In some embodiments, when the first performance parameter taking the first value among the C first performance parameters meets the third preset condition, the first performance parameter of the current time slot takes the first value. Or, when the first performance parameter taking the first value among the C first performance parameters does not meet the third preset condition, the first performance parameter of the current time slot takes the second value.

[0260] Among them, the third preset condition includes any one of the following:

[0261] The number of first performance parameters taking the first value among the C first performance parameters is greater than the thirteenth threshold;

[0262] The ratio of the number value of the first performance parameters taking the first value among the C first performance parameters to C is greater than the fourteenth threshold.

[0263] The number of first performance parameters that continuously take the first value among the C first performance parameters is greater than the fifteenth threshold value.

[0264] In one example, the first performance parameter is determined according to the first performance parameters of C different time slots. The number of first performance parameters of C different time slots that take the first value is C1, and C1 is greater than a preset thirteenth threshold value. Thus, the first performance parameter can take the first value at this time. Otherwise, that is, C1 is less than or equal to the preset thirteenth threshold value, so the first performance parameter can take the second value at this time.

[0265] In another example, the number of first performance parameters of C different time slots that take the first value is C1, and the ratio of C1 to C is greater than a preset fourteenth threshold value. Thus, the first performance parameter can take the first value at this time. Otherwise, that is, the ratio of C1 to C is less than or equal to the preset fourteenth threshold value, so the first performance parameter can take the second value at this time.

[0266] In yet another example, the number of first performance parameters that continuously take the first value among the C first performance parameters is C1, and C1 is greater than a preset fifteenth threshold value. Thus, the first performance parameter can take the first value at this time. Otherwise, that is, C1 is less than or equal to the preset fifteenth threshold value, so the first performance parameter can take the second value at this time.

[0267] It should be noted that the first performance parameter in the present disclosure may be the performance parameter of the first information processing method. Since with the change of the environment or the channel, an information processing method or signal processing method used, or the model corresponding to the information processing method, or the function corresponding to an information processing method no longer adapts to the new environment or channel, performance monitoring is required. Compared with using the reference signal resources corresponding to the additional N beams for performance monitoring, the present disclosure can use the obtained M beams for performance monitoring, without the need to additionally send the reference signal of the label corresponding to the second parameter to determine the performance parameter, that is, based on the obtained M first parameters, the information processing method adopted can be monitored for performance. Thus, the overhead of the reference signal for performance monitoring can be reduced. Since the first performance parameter can be obtained without waiting for the transmission of the reference signal corresponding to the second parameter, the delay of performance monitoring can also be reduced to a certain extent.

[0268] S103. Transmit the first performance parameter.

[0269] In some embodiments, a channel state information report may be generated according to the first performance parameter, and the first performance parameter is transmitted in the channel state information report.

[0270] In some embodiments, the first performance parameter may also be transmitted through high-layer and / or physical-layer parameters.

[0271] Exemplarily, the terminal can generate a CSI report based on the determined first performance parameter and send the CSI report. Thus, the base station obtains the value of the first performance parameter by receiving the CSI report, and determines whether the current model meets the performance requirements according to the value of the first performance parameter.

[0272] In some embodiments, the channel state information report further includes at least one of the following:

[0273] M first parameters, K first parameters among the M first parameters, indexes of K first parameters among the M first parameters, N second parameters, K second parameters among the N second parameters, indexes of K second parameters among the N second parameters.

[0274] In one example, the channel state information report further includes M first parameters.

[0275] In another example, the channel state information report further includes K first parameters selected from the M first parameters and the beam index or CRI corresponding to the K first parameters.

[0276] In yet another example, the channel state information report further includes N second parameters.

[0277] In yet another example, the channel state information report further includes K second parameters selected from the N second parameters and the beam index or CRI corresponding to the K second parameters.

[0278] In some embodiments, when the first performance parameter takes the first value or the first performance parameter is greater than the eleventh threshold, a first signaling is sent. The first signaling is used to request an aperiodic reference signal.

[0279] Exemplarily, the above first signaling can also be referred to as a first request signaling. It is possible to determine whether to send the first request signaling according to the value of the first performance parameter. For example, when the first performance parameter takes the first value, the first request signaling is sent, and when the first performance parameter takes the second value, the first request signaling is not sent. Also for example, when the first performance parameter takes the first value, the first request signaling is not sent, and when the first performance parameter takes the second value, the first request signaling is sent.

[0280] Thus, after receiving the first signaling, the base station can send an aperiodic reference signal at an appropriate time. After receiving the first signaling, the base station sends one or more aperiodic reference signals. The terminal receives and measures the aperiodic reference signal and uses it for model monitoring or model training.

[0281] In some embodiments, when the first performance parameter takes a first value or the first performance parameter is greater than a twelfth threshold, a second signaling is sent. The second signaling is used to request a process for obtaining the first performance parameter.

[0282] Exemplarily, the above second signaling may also be referred to as a second request signaling. Whether to send the second request signaling can be determined according to the value of the first performance parameter. For example, when the first performance parameter takes the first value, the second request signaling is sent; when the first performance parameter takes the second value, the second request signaling is not sent. Another example is that when the first performance parameter takes the first value, the second request signaling is not sent; when the first performance parameter takes the second value, the second request signaling is sent. Thus, after receiving the second request signaling, the base station can initiate a performance monitoring process at an appropriate time, such as the process for obtaining the first performance parameter described above.

[0283] Based on the technical solution provided by the present disclosure, the first performance parameter can be determined according to the obtained M first parameters and N second parameters. In this way, there is no need to additionally send a reference signal corresponding to the label of the second parameter to determine the performance parameter. Instead, the obtained M first parameters are used in combination with the N second parameters to determine the first performance parameter, that is, the performance monitoring is performed on the information processing method that can be adopted based on the obtained M first parameters. Thus, the overhead of the reference signal for performance monitoring can be reduced, and since the first performance parameter can be obtained without waiting for the transmission of the reference signal corresponding to the second parameter, the latency of performance monitoring can also be reduced to a certain extent.

[0284] In some embodiments, the present disclosure also provides a method for receiving a performance parameter, as Figure 4 shown, the method includes:

[0285] S201. Receive a first performance parameter; the first performance parameter is determined according to M first parameters and N second parameters, where N and M are positive integers.

[0286] Exemplarily, M is an integer greater than 1, and N is an integer greater than or equal to M.

[0287] Exemplarily, the terminal can generate a CSI report according to the determined first performance parameter and send the CSI report. Thus, the base station obtains the value of the first performance parameter by receiving the CSI report and determines whether the current model meets the performance requirements according to the value of the first performance parameter.

[0288] In some embodiments, the first parameter or the second parameter includes at least one of the following: L1-RSRP, differential L1-RSRP, L1-SINR, differential L1-SINR, probability, L1-RSRQ, differential L1-RSRQ, partial or all channel information.

[0289] In some embodiments, the N second parameters are obtained based on the M first parameters and the first information processing method.

[0290] In some embodiments, the resource set corresponding to the M first parameters is a subset of the resource set corresponding to the N second parameters. Wherein, the resource set corresponding to the M first parameters and / or the resource set corresponding to the N second parameters is one of the following: reference signal resource set, time-domain transmission resource set, frequency-domain transmission resource set, spatial-domain transmission resource set, reference signal resource index set, time-domain transmission resource index set, frequency-domain transmission resource index set, spatial-domain transmission resource index set.

[0291] In some embodiments, the first performance parameter is determined according to K first parameters determined from the M first parameters and K second parameters determined from the N second parameters. K is an integer less than or equal to M and less than or equal to N.

[0292] In some embodiments, the K first parameters determined from the M first parameters satisfy any one of the following:

[0293] The K first parameters are the largest K first parameters among the M first parameters;

[0294] The K first parameters are the smallest K first parameters among the M first parameters;

[0295] The K first parameters are K first parameters randomly determined from the M first parameters;

[0296] The K first parameters are K equally spaced first parameters among the M first parameters;

[0297] The K first parameters are K first parameters among the M first parameters that are greater than the first threshold;

[0298] The K first parameters are K first parameters among the M first parameters determined based on a preset resource index;

[0299] The K first parameters are K first parameters among the M first parameters determined based on the resource index indicated by signaling.

[0300] In some embodiments, the K second parameters are the K second parameters among the N second parameters that have the same resource index as the K first parameters.

[0301] In some embodiments, the resource index includes any one of the following:

[0302] Reference signal resource index, time-domain transmission resource index, frequency-domain transmission resource index, spatial-domain transmission resource index; wherein, the spatial-domain transmission resource includes one of the following: beam, beam correspondence, transmit beam, receive beam, spatial reception parameter, precoding matrix index.

[0303] In some embodiments, the K second parameters are determined from the M second parameters, where the M second parameters are the M second parameters among the N second parameters whose corresponding resource indices are the same as those of the M first parameters.

[0304] Among them, the K second parameters determined from the N second parameters satisfy any one of the following:

[0305] The K second parameters are the K largest second parameters among the M second parameters;

[0306] The K second parameters are the K smallest second parameters among the M second parameters;

[0307] The K second parameters are the K randomly determined second parameters among the M second parameters;

[0308] The K second parameters are the K second parameters with equal spacing among the M second parameters;

[0309] The K second parameters are the K second parameters among the M second parameters that are greater than a second threshold;

[0310] The K second parameters are the K second parameters among the M second parameters determined based on a preset resource index;

[0311] The K second parameters are the K second parameters among the M second parameters determined based on a resource index indicated by a signaling.

[0312] In some embodiments, the K second parameters determined from the N second parameters satisfy any one of the following:

[0313] The K second parameters are the K largest second parameters among the N second parameters;

[0314] The K second parameters are the K smallest second parameters among the N second parameters;

[0315] The K second parameters are the K randomly determined second parameters among the N second parameters;

[0316] The K second parameters are the K second parameters with equal spacing among the N second parameters;

[0317] The K second parameters are the K second parameters among the N second parameters that are greater than a second threshold;

[0318] The K second parameters are the K second parameters among the N second parameters determined based on a preset resource index;

[0319] The K second parameters are the K second parameters among the N second parameters determined based on a resource index indicated by a signaling.

[0320] In some embodiments, the comparison parameter L is obtained based on K first parameters and K second parameters. When the comparison parameter L meets the first preset condition, the first performance parameter takes a first value; when the comparison parameter L does not meet the first preset condition, the first performance parameter takes a second value.

[0321] In some embodiments, L is any one of the following:

[0322] L is the number of the K first parameters that are greater than or equal to the corresponding second parameters;

[0323] L is the number of the K first parameters whose difference from the corresponding second parameters is greater than a third threshold value;

[0324] L is the number of the K first parameters whose difference between the sum of each first parameter and a bias value and the corresponding second parameter is greater than a fourth threshold value;

[0325] L is the number of the K first parameters whose ratio to the corresponding second parameters is greater than a fifth threshold value;

[0326] L is the number of the K first parameters whose ratio between the sum of each first parameter and a bias value and the corresponding second parameter is greater than a sixth threshold value.

[0327] In some embodiments, the first preset condition includes any one of the following:

[0328] L is greater than a preset value;

[0329] The ratio between L and K is greater than a first preset ratio;

[0330] The ratio between L and M is greater than a second preset ratio;

[0331] The ratio between L and N is greater than a third preset ratio.

[0332] In some embodiments, the first performance parameter is determined according to the K first parameters determined from M first parameters and the K second parameters determined from N second parameters, specifically including: determining a first statistical value according to the K first parameters and determining a second statistical value according to the K second parameters; determining the first performance parameter according to the first statistical value and the second statistical value.

[0333] In some embodiments, determining the first performance parameter according to the first statistical value and the second statistical value specifically includes: when the first statistical value and the second statistical value meet a second preset condition, the first performance parameter takes a first value; or, when the first statistical value and the second statistical value do not meet the second preset condition, the first performance parameter takes a second value.

[0334] Wherein, the second preset condition includes any one of the following:

[0335] The first statistical value is greater than or equal to the second statistical value;

[0336] The difference between the first statistical value and the second statistical value is greater than the seventh threshold;

[0337] The absolute value of the difference between the first statistical value and the second statistical value is greater than the eighth threshold;

[0338] The ratio between the first statistical value and the second statistical value is greater than the ninth threshold;

[0339] The absolute value of the ratio between the first statistical value and the second statistical value is greater than the tenth threshold.

[0340] In some embodiments, a first performance parameter is determined according to the first statistical value and the second statistical value, specifically including any one of the following:

[0341] Determine the difference between the first statistical value and the second statistical value as the first performance parameter;

[0342] Determine the absolute value of the difference between the first statistical value and the second statistical value as the first performance parameter;

[0343] Determine the ratio between the first statistical value and the second statistical value as the first performance parameter;

[0344] Determine the absolute value of the ratio between the first statistical value and the second statistical value as the first performance parameter.

[0345] In some embodiments, a first signaling may also be received. The first signaling is sent when the first performance parameter takes a first value or the first performance parameter is greater than the eleventh threshold, and the first signaling is used to request an aperiodic reference signal.

[0346] In some embodiments, the method further includes: receiving a second signaling. The second signaling is sent when the first performance parameter takes a first value or the first performance parameter is greater than the twelfth threshold, and the second signaling is used to request a process for obtaining the first performance parameter.

[0347] In some embodiments, a channel state information report may be received, and the signal state information includes the first performance parameter.

[0348] The channel state information report further includes at least one of the following:

[0349] M first parameters, K first parameters among the M first parameters, indexes of K first parameters among the M first parameters, N second parameters, K second parameters among the N second parameters, indexes of K second parameters among the N second parameters.

[0350] In some embodiments, the first performance parameter is the first performance parameter of the current time slot, and the first performance parameters of C-1 other time slots can also be obtained. Among them, the first performance parameter of each of the C-1 other time slots is determined based on M first parameters and N second parameters on the corresponding time slot, where C is a positive integer.

[0351] In some embodiments, the resource index sets corresponding to the C first performance parameters are the same.

[0352] In some embodiments, when the first performance parameter taking the first value among the C first performance parameters meets the third preset condition, the first performance parameter of the current time slot takes the first value; or,

[0353] When the first performance parameter taking the first value among the C first performance parameters does not meet the third preset condition, the first performance parameter of the current time slot takes the second value; where the third preset condition includes any one of the following:

[0354] The number of first performance parameters taking the first value among the C first performance parameters is greater than the thirteenth threshold;

[0355] The ratio between the number value of the first performance parameters taking the first value among the C first performance parameters and C is greater than the fourteenth threshold.

[0356] The number of consecutive first performance parameters taking the first value among the C first performance parameters is greater than the fifteenth threshold.

[0357] In some embodiments, the first performance parameter of the current time slot is the statistical value of the C first performance parameters, where the statistical value of the C first performance parameters includes one of the following:

[0358] The maximum value of the C first parameters, the minimum value of the C first parameters, the average value of the C first parameters, the variance of the C first parameters, the geometric mean of the C first parameters, the weighted average of the C first parameters, the harmonic mean of the C first parameters, the arithmetic mean of the C first parameters.

[0359] S202. Determine the performance result of the first information processing method according to the first performance parameter.

[0360] Exemplarily, the performance result of the first information processing method can be determined according to the value of the first performance parameter. This performance result can be used to indicate whether the first information processing method or the model corresponding to the first information processing method meets the current performance requirements.

[0361] In addition, for the detailed description of steps S201 - S202, reference can also be made to the relevant descriptions of steps S101 - S103 above, which will not be elaborated here.

[0362] Based on the technical solution provided by the present disclosure, the received channel state information report can be generated based on a first performance parameter, and the first performance parameter is determined according to M first parameters and N second parameters. Thus, the first performance parameter can be determined by combining N second parameters based on the obtained M first parameters, without the need to transmit additional reference signals to determine the performance parameter. In this way, the overhead of the reference signal for performance monitoring can be reduced or the latency of performance monitoring can be decreased.

[0363] The above mainly introduces the solution provided by the present disclosure from the perspective of the interaction between various communication nodes. It can be understood that in order to implement the above functions, each communication node includes the corresponding hardware structure and / or software module for executing each function. Those skilled in the art should easily realize that, combining the algorithm steps of each example described in the embodiments disclosed herein, the present disclosure can be implemented in the form of hardware or a combination of hardware and computer software. Whether a certain function is executed in the form of hardware or computer software driving the hardware depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present disclosure.

[0364] Figure 5 The following shows a schematic diagram of the composition of a communication device provided by an embodiment of the present disclosure. As Figure 5 shown, the communication device 50 includes an acquisition module 501, a determination module 502, and a transmission module 503. In some embodiments, the communication device 50 may further include a generation module 504.

[0365] Among them, the acquisition module 501 is configured to acquire M first parameters and N second parameters, where M and N are positive integers;

[0366] The determination module 502 is configured to determine a first performance parameter according to M first parameters and N second parameters;

[0367] The transmission module 503 is configured to transmit the first performance parameter.

[0368] In some embodiments, the first parameter or the second parameter includes at least one of the following: L1-RSRP, differential L1-RSRP, L1-SINR, differential L1-SINR, probability, L1-RSRQ, differential L1-RSRQ, partial or all channel information.

[0369] In some embodiments, the acquisition module 501 is specifically configured to acquire N second parameters according to M first parameters and a first information processing method.

[0370] In some embodiments, the resource set corresponding to the M first parameters is a subset of the resource set corresponding to the N second parameters;

[0371] Among them, the resource set corresponding to the M first parameters and / or the resource set corresponding to the N second parameters is one of the following: reference signal resource set, time-domain transmission resource set, frequency-domain transmission resource set, spatial-domain transmission resource set, reference signal resource index set, time-domain transmission resource index set, frequency-domain transmission resource index set, spatial-domain transmission resource index set.

[0372] In some embodiments, the determining module 502 is specifically configured to: determine K first parameters among the M first parameters and determine K second parameters among the N second parameters; K is an integer less than or equal to M and less than or equal to N. Determine a first performance parameter according to the K first parameters determined among the M first parameters and the K second parameters determined among the N second parameters.

[0373] In some embodiments, the K first parameters determined among the M first parameters satisfy any one of the following:

[0374] The K first parameters are the largest K first parameters among the M first parameters;

[0375] The K first parameters are the smallest K first parameters among the M first parameters;

[0376] The K first parameters are K first parameters randomly determined among the M first parameters;

[0377] The K first parameters are K equally spaced first parameters among the M first parameters;

[0378] The K first parameters are the K first parameters among the M first parameters that are greater than a first threshold;

[0379] The K first parameters are the K first parameters among the M first parameters determined based on a preset resource index;

[0380] The K first parameters are the K first parameters among the M first parameters determined based on a resource index indicated by a signaling.

[0381] In some embodiments, the determining module 502 is specifically configured to: determine K second parameters among the N second parameters that have the same resource index as the K first parameters.

[0382] In some embodiments, the resource index includes any one of the following:

[0383] Reference signal resource index, time-domain transmission resource index, frequency-domain transmission resource index, spatial-domain transmission resource index; wherein, the spatial-domain transmission resource includes one of the following: beam, beam correspondence, transmit beam, receive beam, spatial reception parameter, precoding matrix index.

[0384] In some embodiments, the determining module 502 is specifically configured to: determine M second parameters from N second parameters, where the resource indices corresponding to the M second parameters are the same as the resource indices corresponding to the M first parameters. Determine K second parameters from the M second parameters; wherein, the K second parameters determined from the N second parameters satisfy any one of the following:

[0385] The K second parameters are the largest K second parameters among the M second parameters;

[0386] The K second parameters are the smallest K second parameters among the M second parameters;

[0387] The K second parameters are K second parameters randomly determined from the M second parameters;

[0388] The K second parameters are K second parameters equally spaced among the M second parameters;

[0389] The K second parameters are the K second parameters among the M second parameters that are greater than a second threshold;

[0390] The K second parameters are the K second parameters among the M second parameters determined based on a preset resource index;

[0391] The K second parameters are the K second parameters among the M second parameters determined based on a resource index indicated by a signaling.

[0392] In some embodiments, the K second parameters determined from the N second parameters satisfy any one of the following:

[0393] The K second parameters are the largest K second parameters among the N second parameters;

[0394] The K second parameters are the smallest K second parameters among the N second parameters;

[0395] The K second parameters are K second parameters randomly determined from the N second parameters;

[0396] The K second parameters are K second parameters equally spaced among the N second parameters;

[0397] The K second parameters are the K second parameters among the N second parameters that are greater than a second threshold;

[0398] The K second parameters are the K second parameters among the N second parameters determined based on a preset resource index;

[0399] The K second parameters are the K second parameters among the N second parameters determined based on a resource index indicated by a signaling.

[0400] In some embodiments, the determining module 502 is specifically configured to: obtain a comparison parameter L according to K first parameters and K second parameters; when the comparison parameter L meets a first preset condition, the first performance parameter takes a first value; when the comparison parameter L does not meet the first preset condition, the first performance parameter takes a second value.

[0401] In some embodiments, L is any one of the following:

[0402] L is the number of the K first parameters that are greater than or equal to the corresponding second parameters;

[0403] L is the number of the K first parameters whose difference from the corresponding second parameters is greater than a third threshold value;

[0404] L is the number of the K first parameters whose difference between the sum of each first parameter and a bias value and the corresponding second parameter is greater than a fourth threshold value;

[0405] L is the number of the K first parameters whose ratio to the corresponding second parameters is greater than a fifth threshold value;

[0406] L is the number of the K first parameters whose ratio between the sum of each first parameter and a bias value and the corresponding second parameter is greater than a sixth threshold value.

[0407] In some embodiments, the first preset condition includes any one of the following:

[0408] L is greater than a preset value;

[0409] The ratio between L and K is greater than a first preset ratio;

[0410] The ratio between L and M is greater than a second preset ratio;

[0411] The ratio between L and N is greater than a third preset ratio.

[0412] In some embodiments, the determining module 502 is specifically configured to: determine a first statistical value according to the K first parameters and determine a second statistical value according to the K second parameters; determine the first performance parameter according to the first statistical value and the second statistical value.

[0413] In some embodiments, the determining module 502 is specifically configured to: when the first statistical value and the second statistical value meet a second preset condition, the first performance parameter takes a first value; or, when the first statistical value and the second statistical value do not meet the second preset condition, the first performance parameter takes a second value.

[0414] Wherein, the second preset condition includes any one of the following:

[0415] The first statistical value is greater than or equal to the second statistical value;

[0416] The difference between the first statistical value and the second statistical value is greater than the seventh threshold value;

[0417] The absolute value of the difference between the first statistical value and the second statistical value is greater than the eighth threshold value;

[0418] The ratio of the first statistical value to the second statistical value is greater than the ninth threshold value;

[0419] The absolute value of the ratio of the first statistical value to the second statistical value is greater than the tenth threshold value.

[0420] In some embodiments, the determining module 502 is specifically configured to perform any one of the following:

[0421] Determine the difference between the first statistical value and the second statistical value as the first performance parameter;

[0422] Determine the absolute value of the difference between the first statistical value and the second statistical value as the first performance parameter;

[0423] Determine the ratio of the first statistical value to the second statistical value as the first performance parameter;

[0424] Determine the absolute value of the ratio of the first statistical value to the second statistical value as the first performance parameter.

[0425] In some embodiments, when the first performance parameter takes the first value or the first performance parameter is greater than the eleventh threshold, the sending module 503 is further configured to send a first signaling; the first signaling is used to request an aperiodic reference signal.

[0426] In some embodiments, when the first performance parameter takes the first value or the first performance parameter is greater than the twelfth threshold, the sending module 503 is further configured to send a second signaling; the second signaling is used to request a process for obtaining the first performance parameter.

[0427] In some embodiments, the generating module 504 is configured to generate a channel state information report according to the first performance parameter. The sending module 503 is configured to send the first performance parameter in the channel state information report.

[0428] In some embodiments, the channel state information report further includes at least one of the following:

[0429] M first parameters, K of the M first parameters, indexes of K of the M first parameters, N second parameters, K of the N second parameters, indexes of K of the N second parameters.

[0430] In some embodiments, the obtaining module 501 is further configured to obtain first performance parameters of C - 1 other time slots; wherein, the first performance parameter of each of the C - 1 other time slots is determined based on M first parameters and N second parameters on the corresponding time slot, and C is a positive integer.

[0431] In some embodiments, the resource index sets corresponding to the C first performance parameters are the same.

[0432] In some embodiments, when the first performance parameter taking the first value among the C first performance parameters satisfies the third preset condition, the first performance parameter of the current time slot takes the first value; or, when the first performance parameter taking the first value among the C first performance parameters does not satisfy the third preset condition, the first performance parameter of the current time slot takes the second value; wherein, the third preset condition includes any one of the following:

[0433] The number of the first performance parameters taking the first value among the C first performance parameters is greater than the thirteenth threshold;

[0434] The ratio between the value of the number of the first performance parameters taking the first value among the C first performance parameters and C is greater than the fourteenth threshold;

[0435] The number of the first performance parameters taking the first value continuously among the C first performance parameters is greater than the fifteenth threshold.

[0436] In some embodiments, the first performance parameter of the current time slot is a statistical value of the C first performance parameters, wherein, the statistical value of the C first performance parameters includes one of the following:

[0437] The maximum value of the C first parameters, the minimum value of the C first parameters, the average value of the C first parameters, the variance of the C first parameters, the geometric mean of the C first parameters, the weighted average of the C first parameters, the harmonic mean of the C first parameters, the arithmetic mean of the C first parameters.

[0438] For a more detailed description of the above obtaining module 501, determining module 502, sending module 503, and generating module 504, as well as a more detailed description of each technical feature therein, and a description of the beneficial effects, etc., reference can be made to the corresponding method embodiment part above, which will not be elaborated here.

[0439] Figure 6 Shown is a schematic diagram of the composition of a communication device provided by an embodiment of the present disclosure. As Figure 6 shown, the communication device 60 includes a receiving module 601 and a processing module 602.

[0440] Among them, the receiving module 601 is configured to receive the first performance parameter; the first performance parameter is determined according to M first parameters and N second parameters, M is an integer greater than 1, and N is an integer greater than or equal to M.

[0441] A processing module 602, configured to determine a performance result of a first information processing manner according to a first performance parameter.

[0442] In some embodiments, N second parameters are obtained based on M first parameters and a first information processing manner.

[0443] In some embodiments, a resource set corresponding to M first parameters is a subset of a resource set corresponding to N second parameters. Wherein, the resource set corresponding to M first parameters and / or the resource set corresponding to N second parameters is one of the following: a reference signal resource set, a time-domain transmission resource set, a frequency-domain transmission resource set, a spatial-domain transmission resource set, a reference signal resource index set, a time-domain transmission resource index set, a frequency-domain transmission resource index set, a spatial-domain transmission resource index set.

[0444] In some embodiments, the first performance parameter is determined according to K first parameters determined from M first parameters and K second parameters determined from N second parameters; K is an integer less than or equal to M and less than or equal to N.

[0445] In some embodiments, the K first parameters determined from M first parameters satisfy any one of the following:

[0446] The K first parameters are the largest K first parameters among M first parameters;

[0447] The K first parameters are the smallest K first parameters among M first parameters;

[0448] The K first parameters are K first parameters randomly determined from M first parameters;

[0449] The K first parameters are K equally spaced first parameters among M first parameters;

[0450] The K first parameters are K first parameters among M first parameters that are greater than a first threshold;

[0451] The K first parameters are K first parameters among M first parameters determined based on a preset resource index;

[0452] The K first parameters are K first parameters among M first parameters determined based on a resource index indicated by a signaling.

[0453] In some embodiments, the K second parameters are K second parameters among N second parameters that have the same resource index as the K first parameters.

[0454] For a more detailed description of the above receiving module 601, as well as a more detailed description of each technical feature therein, and a description of the beneficial effects, etc., reference can be made to the corresponding method embodiment part above, which will not be elaborated here.

[0455] It should be noted that Figure 5 or Figure 6 The module in... can also be referred to as a unit. For example, the sending module can be called the sending unit. Additionally, in Figure 5 or Figure 6 In the illustrated embodiments, the names of the various modules may not be the names shown in the figures. For example, the sending module can also be called the communication module, and the receiving module can also be called the communication module.

[0456] Figure 5 or Figure 6 If each unit or module in... is implemented in the form of a software functional module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiments of the present disclosure, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to execute all or part of the steps of the methods of the various embodiments of the present disclosure. The storage media for storing the computer software product include: USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs, etc., which can store program codes.

[0457] In the case of implementing the functions of the above integrated module in the form of hardware, the embodiments of the present disclosure provide a structural schematic diagram of a communication device, and this communication device can be the above communication device 50 or communication device 60. As Figure 7 shown, this communication device 70 includes: a processor 702, a communication interface 703, and a bus 704. Optionally, the communication device 70 may further include a memory 701.

[0458] The processor 702 can be a central processing unit, a general-purpose processor, a digital signal processor, an application specific integrated circuit, a field programmable gate array or other programmable logic device, transistor logic device, hardware component, or any combination thereof, which can implement or execute various exemplary logical blocks, modules, and circuits described in connection with the present disclosure. The processor 702 can also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0459] The communication interface 703 is used to connect to other devices through a communication network. The communication network can be an Ethernet, a radio access network, a wireless local area network (WLAN), etc.

[0460] The memory 701 can be a read-only memory (ROM) or other type of static storage device that can store static information and instructions, a random access memory (RAM) or other type of dynamic storage device that can store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), a magnetic disk storage medium, or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0461] As a possible implementation, the memory 701 can exist independently of the processor 702. The memory 701 can be connected to the processor 702 through a bus 704 for storing instructions or program code. When the processor 702 calls and executes the instructions or program code stored in the memory 701, the method provided in the embodiments of the present disclosure can be implemented.

[0462] In another possible implementation, the memory 701 can also be integrated with the processor 702.

[0463] The bus 704 can be an extended industry standard architecture (EISA) bus, etc. The bus 704 can be divided into an address bus, a data bus, a control bus, etc. For the sake of representation, Figure 7 only a thick line is used to represent it in the figure, but it does not mean that there is only one bus or one type of bus.

[0464] From the description of the above embodiments, those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above functional modules is used as an example. In actual applications, the above functions can be allocated to different functional modules according to needs, that is, the internal structure of the device or apparatus is divided into different functional modules to complete all or part of the functions described above.

[0465] The embodiments of the present disclosure also provide a computer-readable storage medium. All or part of the processes in the above method embodiments can be completed by computer instructions instructing relevant hardware. The program can be stored in the above computer-readable storage medium. When the program is executed, it can include the processes of the above method embodiments. The computer-readable storage medium can be the memory of any of the foregoing embodiments. The above computer-readable storage medium can also be an external storage device of the above device or apparatus, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the above device or apparatus. Further, the above computer-readable storage medium can also include both the internal storage unit of the above device or apparatus and the external storage device. The above computer-readable storage medium is used to store the above computer program and other programs and data required by the above device or apparatus. The above computer-readable storage medium can also be used to temporarily store the data that has been output or will be output.

[0466] The embodiments of the present disclosure also provide a computer program product. The computer product includes a computer program. When the computer program product runs on a computer, the computer is caused to execute any method provided in the above embodiments.

[0467] Although the present disclosure has been described in conjunction with various embodiments herein, however, in the process of implementing the claimed present disclosure, those skilled in the art can understand and realize other variations of the disclosed embodiments by viewing the drawings, the disclosure content, and the appended claims. In the claims, "comprising"

[0468] (Comprising) does not exclude other components or steps, and "a" or "one" does not exclude a plurality of cases. A single processor or other unit can implement several functions recited in the claims. Certain measures are recited in mutually different dependent claims, but this does not mean that these measures cannot be combined to produce good results.

[0469] Although the present disclosure has been described in connection with specific features and their embodiments, it will be apparent that various modifications and combinations can be made without departing from the spirit and scope of the present disclosure. Accordingly, this specification and the drawings are merely illustrative descriptions of the present disclosure as defined by the appended claims and are considered to cover any and all modifications, variations, combinations, or equivalents within the scope of the present disclosure. Obviously, those skilled in the art can make various changes and modifications to the present disclosure without departing from the spirit and scope of the present disclosure. Thus, if these modifications and variations of the present disclosure fall within the scope of the claims of the present disclosure and their equivalent technologies, the present disclosure is also intended to include these changes and modifications.

[0470] As described above, this is only a specific implementation manner of the present disclosure, but the protection scope of the present disclosure is not limited thereto. Any changes or substitutions within the technical scope disclosed by the present disclosure should be covered by the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure should be subject to the protection scope of the claims.

Claims

1. A method for sending performance parameters, characterized in that: The method comprises: Get M first parameters and N second parameters, where M and N are positive integers; Determining a first performance parameter according to the M first parameters and the N second parameters; The first performance parameter is sent.

2. The method according to claim 1, characterized in that The first parameter or the second parameter includes at least one of the following: layer 1 reference signal received power L1-RSRP, differential L1-RSRP, layer 1 signal-to-noise ratio L1-SINR, differential L1-SINR, probability, layer 1 reference signal received quality L1-RSRQ, differential L1-RSRQ, part or all of the channel information.

3. The method according to claim 1, characterized in that The obtaining of N second parameters includes: The N second parameters are obtained according to the M first parameters and the first information processing method.

4. The method according to claim 1, characterized in that: The resource set corresponding to the M first parameters is a subset of the resource set corresponding to the N second parameters; Among them, the resource sets corresponding to the M first parameters and / or the resource sets corresponding to the N second parameters are one of the following: a reference signal resource set, a time domain transmission resource set, a frequency domain transmission resource set, a spatial domain transmission resource set, a reference signal resource index set, a time domain transmission resource index set, a frequency domain transmission resource index set, and a spatial domain transmission resource index set.

5. The method according to claim 1, characterized in that The determining the first performance parameter according to the M first parameters and the N second parameters includes: Determine K first parameters from the M first parameters and determine K second parameters from the N second parameters; K is an integer less than or equal to M and less than or equal to N; The first performance parameter is determined according to the K first parameters and the K second parameters.

6. The method according to claim 5, characterized in that The K first parameters determined from the M first parameters include any of the following: The K first parameters are the largest K first parameters among the M first parameters; The K first parameters are the smallest K first parameters among the M first parameters; The K first parameters are K first parameters randomly determined from the M first parameters; The K first parameters are K first parameters with equal spacing among the M first parameters; The K first parameters are K first parameters greater than a first threshold among the M first parameters; The K first parameters are K first parameters determined based on a preset resource index among the M first parameters; The K first parameters are K first parameters determined among the M first parameters based on a resource index indicated by signaling.

7. The method according to claim 6, characterized in that The K second parameters are K second parameters among the N second parameters that have the same resource index as that corresponding to the K first parameters.

8. The method according to claim 7, characterized in that The resource index includes any of the following: Reference signal resource index, time domain transmission resource index, frequency domain transmission resource index, and spatial domain transmission resource index.

9. The method according to claim 5, characterized in that The determining K second parameters from the N second parameters comprises: Determine M second parameters from the N second parameters, the resource indexes corresponding to the M second parameters being the same as the resource indexes corresponding to the M first parameters; Determine K second parameters from the M second parameters; wherein the K second parameters satisfy any of the following items: The K second parameters are the largest K second parameters among the M second parameters; The K second parameters are the smallest K second parameters among the M second parameters; The K second parameters are K second parameters randomly determined from the M second parameters; The K second parameters are K second parameters with equal spacing among the M second parameters; The K second parameters are K second parameters greater than a second threshold among the M second parameters; The K second parameters are K second parameters determined based on a preset resource index among the M second parameters; The K second parameters are K second parameters determined among the M second parameters based on a resource index indicated by signaling.

10. The method according to claim 5, characterized in that The K second parameters determined from the N second parameters include any one of the following: The K second parameters are the largest K second parameters among the N second parameters; The K second parameters are the smallest K second parameters among the N second parameters; The K second parameters are K second parameters randomly determined from the N second parameters; The K second parameters are K second parameters with equal spacing among the N second parameters; The K second parameters are K second parameters greater than a second threshold among the N second parameters; The K second parameters are K second parameters determined based on a preset resource index among the N second parameters; The K second parameters are K second parameters determined among the N second parameters based on a resource index indicated by signaling.

11. The method according to claim 5, characterized in that The determining the first performance parameter according to the K first parameters and the K second parameters includes: Obtaining a comparison parameter L according to the K first parameters and the K second parameters; When the comparison parameter L satisfies a first preset condition, the first performance parameter takes a first value; When the comparison parameter L does not satisfy the first preset condition, the first performance parameter takes a second value.

12. The method according to claim 11, characterized in that The comparison parameter L obtained according to the K first parameters and the K second parameters includes any one of the following: The L is the number of the K first parameters that is greater than or equal to the corresponding second parameters; L is the number of the K first parameters whose differences with the corresponding second parameters are greater than a third threshold value; L is the number of differences between the sum of the K first parameters and the offset value and the corresponding second parameter that is greater than a fourth threshold value; The L is the number of the K first parameters whose ratio to the corresponding second parameter is greater than a fifth threshold value; The L is the number of values ​​of the ratio between the sum of the K first parameters respectively added to the offset value and the corresponding second parameter that is greater than the sixth threshold value.

13. The method according to claim 11, characterized in that The first preset condition includes any one of the following: The L is greater than a preset value; The ratio between L and K is greater than a first preset ratio; The ratio between L and M is greater than a second preset ratio; The ratio of L to N is greater than a third preset ratio.

14. The method according to claim 5, characterized in that The determining the first performance parameter according to the K first parameters and the K second parameters includes: Determine a first statistical value according to the K first parameters and determine a second statistical value according to the K second parameters; The first performance parameter is determined according to the first statistical value and the second statistical value.

15. The method according to claim 14, characterized in that The determining the first performance parameter according to the first statistical value and the second statistical value includes: When the first statistical value and the second statistical value meet a second preset condition, the first performance parameter takes a first value; or, When the first statistical value and the second statistical value do not satisfy a second preset condition, the first performance parameter takes a second value; wherein the second preset condition includes any one of the following: The first statistical value is greater than or equal to the second statistical value; The difference between the first statistical value and the second statistical value is greater than a seventh threshold value; The absolute value of the difference between the first statistical value and the second statistical value is greater than an eighth threshold value; The ratio between the first statistical value and the second statistical value is greater than a ninth threshold value; An absolute value of a ratio between the first statistical value and the second statistical value is greater than a tenth threshold value.

16. The method according to claim 14, characterized in that The determining the first performance parameter according to the first statistical value and the second statistical value includes any one of the following: determining a difference between the first statistical value and the second statistical value as the first performance parameter; determining an absolute value of a difference between the first statistical value and the second statistical value as the first performance parameter; determining a ratio between the first statistical value and the second statistical value as the first performance parameter; An absolute value of a ratio between the first statistical value and the second statistical value is determined as the first performance parameter.

17. The method according to claim 1, characterized in that The method further comprises: When the first performance parameter takes a first value or the first performance parameter is greater than an eleventh threshold, a first signaling is sent; the first signaling is used to request a non-periodic reference signal.

18. The method according to claim 1, characterized in that The method further comprises: When the first performance parameter takes a first value or the first performance parameter is greater than a twelfth threshold, a second signaling is sent; the second signaling is used to request a process for obtaining the first performance parameter.

19. The method according to claim 1, characterized in that The sending of the first performance parameter includes: generating a channel state information report according to the first performance parameter, and sending the first performance parameter in the channel state information report.

20. The method according to claim 19, characterized in that The channel state information report also includes at least one of the following: The M first parameters, K first parameters among the M first parameters, indexes of K first parameters among the M first parameters, the N second parameters, K second parameters among the N second parameters, and indexes of K second parameters among the N second parameters.

21. The method according to claim 1, characterized in that The first performance parameter is a first performance parameter of a current time slot, and the method further includes: Obtain the first performance parameters of C-1 other time slots; wherein the first performance parameters of each time slot in the C-1 other time slots are determined based on M first parameters and N second parameters on the corresponding time slot, and C is a positive integer.

22. The method according to claim 21, characterized in that When a first performance parameter taking a first value among the C first performance parameters satisfies a third preset condition, the first performance parameter of the current time slot takes the first value; or, When the first performance parameter taking the first value among the C first performance parameters does not meet the third preset condition, the first performance parameter of the current time slot takes the second value; wherein the third preset condition includes any one of the following: The number of the C first performance parameters that takes the first value is greater than a thirteenth threshold; The ratio between the number of the C first performance parameters that take the first value and C is greater than a fourteenth threshold value; The number of first performance parameters that continuously take the first value among the C first performance parameters is greater than the fifteenth threshold value.

23. The method according to claim 21, characterized in that The first performance parameter of the current time slot is a statistical value of the C first performance parameters, wherein the statistical values ​​of the C first performance parameters include one of the following: C maximum values ​​of the first parameters, C minimum values ​​of the first parameters, C average values ​​of the first parameters, C variances of the first parameters, C geometric means of the first parameters, C weighted means of the first parameters, C harmonic means of the first parameters, and C arithmetic means of the first parameters.

24. A method for receiving performance parameters, characterized in that: The method comprises: Receiving a first performance parameter; the first performance parameter is determined according to M first parameters and N second parameters, where M and N are positive integers; A performance result of a first information processing method is determined according to the first performance parameter.

25. The method according to claim 24, characterized in that The N second parameters are acquired based on the M first parameters and a first information processing method.

26. The method according to claim 24, characterized in that The resource set corresponding to the M first parameters is a subset of the resource set corresponding to the N second parameters; Among them, the resource sets corresponding to the M first parameters and / or the resource sets corresponding to the N second parameters are one of the following: a reference signal resource set, a time domain transmission resource set, a frequency domain transmission resource set, a spatial domain transmission resource set, a reference signal resource index set, a time domain transmission resource index set, a frequency domain transmission resource index set, and a spatial domain transmission resource index set.

27. The method according to claim 24, characterized in that The first performance parameter is determined according to K first parameters determined among the M first parameters and K second parameters determined among the N second parameters; K is an integer less than or equal to M and less than or equal to N.

28. A communication device, characterized in that: include: Memory and processor; Memory and processor coupling; The memory is used to store instructions executable by the processor; When the processor executes the instructions, the method according to any one of claims 1 to 27 is performed.

29. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and when the computer instructions are executed on a processor, the processor executes the method according to any one of claims 1 to 27.

30. A computer program product, characterized in that The computer program product comprises a computer program, which, when executed on a computer, causes the computer to execute the method according to any one of claims 1 to 27.

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