WO2023116826A1 - Csi预测方法、装置、通信设备及可读存储介质 - Google Patents

Csi预测方法、装置、通信设备及可读存储介质 Download PDF

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WO2023116826A1
WO2023116826A1 PCT/CN2022/141037 CN2022141037W WO2023116826A1 WO 2023116826 A1 WO2023116826 A1 WO 2023116826A1 CN 2022141037 W CN2022141037 W CN 2022141037W WO 2023116826 A1 WO2023116826 A1 WO 2023116826A1
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Prior art keywords
csi
terminal
information
prediction
content
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PCT/CN2022/141037
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English (en)
French (fr)
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李佳林
杨昂
孙鹏
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维沃移动通信有限公司
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Publication of WO2023116826A1 publication Critical patent/WO2023116826A1/zh
Priority to US18/747,591 priority Critical patent/US20240340684A1/en

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/02—Arrangements for detecting or preventing errors in the information received by diversity reception
    • H04L1/06—Arrangements for detecting or preventing errors in the information received by diversity reception using space diversity
    • H04L1/0618—Space-time coding
    • H04L1/0675—Space-time coding characterised by the signaling
    • H04L1/0693—Partial feedback, e.g. partial channel state information [CSI]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/02—Arrangements for detecting or preventing errors in the information received by diversity reception
    • H04L1/06—Arrangements for detecting or preventing errors in the information received by diversity reception using space diversity
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/22—Traffic simulation tools or models
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition

Definitions

  • the present application belongs to the technical field of communication, and in particular relates to a CSI prediction method, device, communication device and readable storage medium.
  • Channel State Information (Channel State Information, CSI) is the channel state information reported by the terminal to the base station.
  • the basic principle is that the base station configures appropriate CSI reference signal (CSI Reference Signal, CSI-RS) resources for the terminal, and then the terminal performs CSI-RS Measure and calculate the required CSI, and finally the terminal reports it to the base station through the Physical Uplink Control Channel (PUCCH)/Physical Uplink Shared Channel (PUSCH).
  • CSI-RS CSI Reference Signal
  • PUCCH Physical Uplink Control Channel
  • PUSCH Physical Uplink Shared Channel
  • CSI mainly includes: Channel Quality Indicator (CQI), Precoding Matrix Indicator (Precoding Matrix Indicator, PMI), Rank Indication (Rank Indication, RI), CSI-RS Resource Indicator (CSI-RS Resource Indicator, CRI ), Synchronization Signal Block Rank Indicator (SS/PBCH Resource Block Indicator, SSBRI), Layer 1 (Layer Indicator, LI), L1 Reference Signal Received Power (Layer 1 reference signal received power, L1-RSRP).
  • CQI Channel Quality Indicator
  • Precoding Matrix Indicator Precoding Matrix Indicator, PMI
  • Rank Indication Rank Indication
  • RI CSI-RS Resource Indicator
  • CRI CSI-RS Resource Indicator
  • SSBRI Synchronization Signal Block Rank Indicator
  • Layer 1 Layer Indicator, LI
  • L1 Reference Signal Received Power Layer 1 reference signal received power
  • the framework design for CSI reporting under the condition of measurement is relatively complete, but when the prediction technology is introduced, how to trigger the terminal to obtain the CSI content through prediction (or described as CSI measurement information ) is an urgent problem to be solved.
  • Embodiments of the present application provide a CSI prediction method, device, communication device, and readable storage medium, which can solve the problem of how to trigger a terminal to obtain CSI content through prediction.
  • a CSI prediction method including:
  • the terminal When the terminal meets the trigger condition of CSI prediction and the terminal receives the first information, the terminal performs CSI prediction to obtain predicted CSI content, and the first information is used to instruct the terminal to perform CSI prediction.
  • a CSI prediction method including:
  • the network side device sends first information, where the first information is used to instruct the terminal to perform CSI prediction.
  • a CSI prediction device which is applied to a terminal, including:
  • a prediction module configured to perform CSI prediction on the terminal to obtain predicted CSI content when the terminal meets the trigger condition of CSI prediction and the terminal receives first information, and the first information is used to indicate the The terminal performs CSI prediction.
  • a CSI prediction device which is applied to a network side device, including:
  • a fourth sending module configured to send first information, where the first information is used to instruct the terminal to perform CSI prediction.
  • a communication device including: a processor, a memory, and a program or instruction stored in the memory and operable on the processor, when the program or instruction is executed by the processor.
  • a readable storage medium where a program or an instruction is stored on the readable storage medium, and when the program or instruction is executed by a processor, the steps of the method as described in the first aspect are implemented.
  • a chip in a seventh aspect, includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the method as described in the first aspect A step of.
  • a computer program product is provided, the computer program product is stored in a non-transitory storage medium, and the computer program product is executed by at least one processor to implement the method as described in the first aspect step.
  • the terminal when the terminal meets the trigger condition of CSI prediction and the terminal receives the first information, the terminal performs CSI prediction to obtain the predicted CSI content, which improves the triggering of CSI prediction on the terminal side It also further improves the reporting process of predicted CSI content.
  • the network side device can use the preset CSI-RS resources for other information. The use of high-speed transmission enhances the transmission reliability in the scene of rapid channel change.
  • Figure 1 is a flowchart of periodic reporting
  • Figure 2 is a flow chart of semi-continuous reporting
  • Figure 3 is a flow chart of aperiodic reporting
  • Fig. 4 is a schematic diagram of CPU occupation time reported by non-periodic/periodic CSI and non-first-triggered semi-persistent CSI;
  • FIG. 5 is a block diagram of a wireless communication system to which an embodiment of the present application is applicable.
  • FIG. 6 is one of the flowcharts of the CSI prediction method provided by the embodiment of the present application.
  • FIG. 7 is the second flowchart of the CSI prediction method provided by the embodiment of the present application.
  • FIG. 8 is a schematic diagram of CSI prediction reporting instead of CSI periodic measurement reporting provided by an embodiment of the present application.
  • Fig. 9 is one of the schematic diagrams of the CSI prediction device provided by the embodiment of the present application.
  • FIG. 10 is the second schematic diagram of the CSI prediction device provided by the embodiment of the present application.
  • FIG. 11 is a schematic diagram of a terminal provided by an embodiment of the present application.
  • FIG. 12 is a schematic diagram of a network side device provided by an embodiment of the present application.
  • Fig. 13 is a schematic diagram of a communication device provided by an embodiment of the present application.
  • first, second and the like in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific sequence or sequence. It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments of the application are capable of operation in sequences other than those illustrated or described herein and that "first" and “second” distinguish objects. It is usually one category, and the number of objects is not limited. For example, there may be one or more first objects.
  • “and/or” in the specification and claims means at least one of the connected objects, and the character “/” generally means that the related objects before and after are an "or” relationship.
  • LTE Long Term Evolution
  • LTE-Advanced LTE-Advanced
  • LTE-A Long Term Evolution-Advanced
  • CDMA Code Division Multiple Access
  • TDMA Time Division Multiple Access
  • FDMA Frequency Division Multiple Access
  • OFDMA Orthogonal Frequency Division Multiple Access
  • SC-FDMA Single-carrier Frequency Division Multiple Access
  • system and “network” in the embodiments of the present application are often used interchangeably, and the described technology can be used for the above-mentioned system and radio technology, and can also be used for other systems and radio technologies.
  • the following description describes the New Radio (New Radio, NR) system for example purposes, and uses NR terminology in most of the following descriptions, but these techniques can also be applied to applications other than NR system applications, such as the 6th generation (6th Generation , 6G) communication system.
  • 6G 6th generation
  • the current New Radio (NR) technology supports periodic, semi-persistent, or aperiodic CSI measurement and reporting, see Figure 1, Figure 2, and Figure 3, which illustrate the CSI reporting process under different types.
  • Periodic CSI measurement and reporting is configured by Radio Resource Control (RRC) signaling without additional triggering of reporting.
  • Semi-persistent CSI is somewhat similar to periodic CSI, but the difference is that additional triggering is required.
  • the base station needs to pass the Medium Access Control (MAC) control unit (Control Element, CE) again.
  • MAC Medium Access Control
  • CE Medium Access Control
  • DCI Downlink Control Information
  • Aperiodic CSI can only be measured and reported through DCI.
  • the CPU represents the capability of the terminal to process CSI.
  • the terminal will first report to the base station itself the maximum number of CPUs it can support. The number of CPUs occupied by different CSI report content is different.
  • the base station Appropriate CSI reporting will be configured according to the maximum number of CPUs notified by the terminal.
  • the number of CPUs used for conventional CSI reporting is the same as the number of Channel Measurement Resource (CMR).
  • CMR Channel Measurement Resource
  • the CPU occupation time is mainly divided into two types, one is periodic CSI and non-first-triggered semi-persistent CSI.
  • the CPU occupation time of this type of CSI starts from the first symbol of the CSI-RS measurement resource until the resource is reported. The last symbol ends; the other is aperiodic and semi-persistent CSI triggered for the first time.
  • the CPU occupancy time of this kind of CSI starts from the first symbol after triggering the Physical downlink control channel (PDCCH) until The last symbol of the reported resource ends, see Figure 4.
  • PDCCH Physical downlink control channel
  • Fig. 5 shows a block diagram of a wireless communication system to which the embodiment of the present application is applicable.
  • the wireless communication system includes a terminal 51 and a network side device 52 .
  • the terminal 51 can be a mobile phone, a tablet computer (Tablet Personal Computer, TPC), a laptop computer (Laptop Computer, LC) or a notebook computer, a personal digital assistant (Personal Digital Assistant, PDA), a palmtop computer, a netbook, Ultra-Mobile Personal Computer (UMPC), Mobile Internet Device (MID), Augmented Reality (AR)/Virtual Reality (VR) equipment, robots, wearable devices (Wearable Device, WD), vehicle equipment (Vehicle User Equipment, VUE), pedestrian terminal (Pedestrian User Equipment, PUE), smart home (home equipment with wireless communication functions, such as refrigerators, TVs, washing machines or furniture, etc.), games Terminal-side devices such as computer, personal computer (PC), teller machine or self-service machine.
  • PC personal computer
  • teller machine or self-service machine such as
  • the network side device 52 may include an access network device or a core network device, where the access network device may also be called a radio access network device, a radio access network (Radio Access Network, RAN), a radio access network function, or a wireless network. access network unit.
  • RAN Radio Access Network
  • the access network equipment may include a base station, a wireless local area network (Wireless Local Area Networks, WLAN) access point or a wireless fidelity (Wireless Fidelity, WiFi) node, etc.
  • the base station may be called a node B, an evolved node B (eNB), Access point, base transceiver station (Base Transceiver Station, BTS), radio base station, radio transceiver, basic service set (Basic Service Set, BSS), extended service set (Extended Service Set, ESS), home B node, home Evolved Node B, Transmitting Receiving Point (TRP) or some other appropriate term in the field, as long as the same technical effect is achieved, the base station is not limited to specific technical terms. It should be noted that in this In the embodiments of the application, only the base station in the NR system is used as an example for introduction, and the specific type of the base station is not limited.
  • an embodiment of the present application provides a method for predicting CSI.
  • the method is executed by a terminal, and specific steps include: step 601 .
  • Step 601 When the terminal satisfies the trigger condition of CSI prediction and the terminal receives the first information, the terminal performs CSI prediction to obtain the predicted CSI content, and the first information is used to instruct the terminal to perform CSI forecast.
  • the terminal receives RRC signaling, Media Access Control (Medium Access Control, MAC) control element (Control Element, CE) or downlink control information (Downlink Control Information, DCI) signaling, etc., RRC signaling, MAC CE Or the DCI signaling carries the first information.
  • RRC signaling Media Access Control (Medium Access Control, MAC) control element (Control Element, CE) or downlink control information (Downlink Control Information, DCI) signaling, etc.
  • RRC signaling Media Access Control
  • MAC CE Media Access Control
  • DCI Downlink Control Information
  • CSI prediction refers to the CSI obtained by the terminal by collecting historically measured CSI-RS resources as the CSI at a future moment, namely The terminal has a CSI prediction and determination function, and the terminal can use CSI prediction instead of real CSI measurement.
  • the first condition is: the terminal meets the trigger condition of CSI prediction;
  • the second condition is: the terminal receives the first information, for example, based on the first information, the terminal can acquire the need to activate the CSI prediction model indicated by the network side and determine whether the CSI prediction threshold is met.
  • the terminal may first judge whether the trigger condition of CSI prediction is satisfied, and then receive the first information. information, or the terminal may first receive the first information, and then determine whether the triggering condition of CSI prediction is met, or, the terminal may determine whether the triggering condition of CSI prediction is met, which is performed simultaneously with receiving the first information.
  • the triggering conditions for the CSI prediction include one or more of the following:
  • the difference between the latest CSI content and the first value is greater than or equal to the second threshold, and the first value is determined based on the previous CSI content of multiple consecutive periods;
  • the first value may be a smoothed value or an average value of the CSI content of multiple consecutive periods before, for example, based on the CSI content of multiple consecutive periods of history (precoding matrix indicator (Precoding matrix indicator, PMI) , Channel Quality Indicator (CQI), Reference Signal Received Power (Reference Signal Received Power, RSRP), etc.), if the difference between the latest measured content and the smoothed value is too large, it means that the terminal meets the requirements of CSI prediction Triggering conditions.
  • precoding matrix indicator Precoding matrix indicator, PMI
  • CQI Channel Quality Indicator
  • RSRP Reference Signal Received Power
  • the location area identifier currently received by the terminal is different from the location area identifier previously received by the terminal;
  • the terminal when the terminal detects the broadcast information (such as System Information Block (SIB) 1 information) continuously sent by the base station and finds that the newly received location area identification is different from the previous location area identification, it means that the terminal satisfies the CSI Predicted triggering conditions.
  • SIB System Information Block
  • Hybrid Automatic Repeat Request (HARQ) failures occur multiple times in one cycle
  • the change amount of the moving speed of the terminal is greater than or equal to the fourth threshold.
  • a significant change in the moving speed of the terminal indicates that the terminal satisfies the trigger condition of CSI prediction.
  • the terminal performs CSI prediction, including:
  • the terminal activates a CSI prediction model (or described as a CSI prediction network) according to the first information, performs CSI prediction through the activated CSI prediction model, and obtains predicted CSI content;
  • a CSI prediction model or described as a CSI prediction network
  • the input information of the CSI prediction model includes the CSI obtained by the terminal from historically measured CSI-RS resources.
  • the CSI prediction model may be an artificial intelligence (Artificial Intelligence, AI) network, a prediction algorithm, a linear prediction model, a polynomial fitting prediction model, etc., but it is certainly not limited thereto.
  • AI Artificial Intelligence
  • the terminal activates a CSI prediction model according to the first information, performs CSI prediction through the activated CSI prediction model, and obtains predicted CSI content, including:
  • the terminal acquires a CSI prediction model to be activated and a sample threshold of the CSI prediction model according to the first information
  • the terminal activates a corresponding CSI prediction model
  • the terminal When the quantity of CSI measurement data of the terminal is greater than or equal to the sample threshold of the CSI prediction model, the terminal performs CSI prediction through the activated CSI prediction model to obtain predicted CSI content;
  • the first information includes: information of the CSI prediction model to be activated (for example, an identification (ID) of the CSI prediction model to be activated) and a sample threshold of the CSI prediction model.
  • information of the CSI prediction model to be activated for example, an identification (ID) of the CSI prediction model to be activated
  • sample threshold of the CSI prediction model for example, an identification (ID) of the CSI prediction model to be activated
  • the sample threshold of the CSI prediction model is used to judge whether the CSI prediction model can be used for CSI prediction. Only when the number of CSI measurement data (equivalent to historical CSI measurement data) of the terminal is greater than or equal to the Only when the sample threshold is set, the CSI prediction model can be used for CSI prediction, or it can be understood that the CSI content predicted by the CSI prediction model is more in line with the actually measured CSI content.
  • the terminal acquires a CSI prediction model to be activated according to the first information
  • the terminal activates a corresponding CSI prediction model
  • the terminal performs CSI prediction through the activated CSI prediction model to obtain predicted CSI content
  • the first information includes: information of the CSI prediction model to be activated, and the sample threshold of the above CSI prediction model may be configured for the terminal by the network side when the terminal initially accesses the cell.
  • the activated CSI prediction model can realize the prediction of CSI content (or described as CSI information) in the future. After the terminal predicts the CSI at a future moment, it may report the predicted CSI content.
  • the CSI prediction model to be activated is a CSI prediction model corresponding to the location information of the terminal.
  • the network side device may notify the terminal which CSI prediction model network to activate according to the current location area of the terminal and the CSI measurement information.
  • the CSI prediction model to be activated is a CSI prediction model corresponding to measured channel characteristics (eg, CQI, PMI, Doppler frequency offset information, etc.).
  • the CSI prediction model is configured by a network side device.
  • the network side configures a CSI prediction model for the terminal through RRC signaling.
  • the CSI prediction model is in a state to be activated, and the terminal cannot decide whether to activate the CSI prediction model for CSI prediction.
  • the method before the receiving the first information, the method further includes:
  • the terminal sends second information (or described as CSI prediction indication information) through the first resource (or described as preset public resources or CSI prediction reporting indication time-frequency resources), and the second information is used to indicate that the terminal meets Trigger conditions for CSI prediction;
  • the first information is that the network side device detects that the energy on the first resource (which may be the power of RSRP, received signal strength indication (Received Signal Strength Indication, RSSI) and other signals) is greater than or equal to the first threshold (or described as predicting the energy threshold), and optionally, the first resource is configured by the network side device.
  • the energy on the first resource which may be the power of RSRP, received signal strength indication (Received Signal Strength Indication, RSSI) and other signals
  • RSSI Receiveived Signal Strength Indication
  • the above second information is a kind of feedback information, which may be positive acknowledgment (Acknowledgment, ACK) or negative acknowledgment (Negative Acknowledgment, NACK), and the network side device does not need to decode the second information.
  • ACK positive acknowledgment
  • NACK negative acknowledgment
  • the network side device may maintain the current CSI acquisition mode if the network side device detects that the energy on the first resource is less than the first threshold.
  • the method also includes:
  • the terminal reports the predicted CSI content and/or third information (or described as prediction auxiliary information) to the network side device, and the third information is used by the network side device to assist the terminal in CSI prediction.
  • the terminal may report prediction auxiliary information to the network side device in addition to the predicted CSI content, so that the network side device can assist the terminal in CSI prediction.
  • the third information instructs the network side device to stop (or postpone) sending CSI-RS, for example, the terminal notifies the network side device to stop or postpone sending periodic, aperiodic, or semi-static CSI -RS.
  • the third information includes one or more of the following:
  • the fourth information is used to indicate the time when the terminal reports the predicted CSI content
  • the network-side device may receive the "time when the terminal reports the predicted CSI content” and/or "the offset time when the terminal reports the CSI content” reported by multiple different terminals, and the network-side device may receive multiple different "terminal Select one of the "time when the terminal reports the predicted CSI content” and/or “offset time when the terminal reports the CSI content” among the "time for reporting the predicted CSI content” and/or “offset time for the terminal to report the CSI content", for example, The network-side device can make a selection according to the time length of "the time when the terminal reports the predicted CSI content" and/or "the offset time when the terminal reports the CSI content", and the selection rule is not specifically limited in this embodiment of the application.
  • the third information instructs the network side device to send the CSI-RS according to a preconfigured time.
  • the third information includes one or more of the following:
  • the eighth information indicates that the time for the terminal to report the predicted CSI content (or described as the remaining time) is less than one CSI measurement reporting time.
  • the method before the terminal sends the predicted CSI content to the network side device, the method further includes:
  • the terminal starts a timer
  • the terminal stops CSI prediction and continues to perform CSI measurement; otherwise, the terminal continues to perform CSI prediction.
  • the timer indicates the time during which the terminal can continuously report the predicted CSI content, or the timer indicates the effective time of the CSI prediction model.
  • the terminal can initialize a timer appropriately.
  • the timer expires, the CSI prediction stops and CSI measurement continues. Further, the CSI prediction model can be updated online within the CSI measurement time.
  • the method before the terminal sends the predicted CSI content to the network side device, the method further includes:
  • the terminal starts a counter
  • the terminal stops CSI prediction and continues to perform CSI measurement; otherwise, the terminal continues to perform CSI prediction.
  • the counter indicates the maximum number of periods for reporting the predicted CSI content supported by the terminal, or the counter indicates the maximum number of times the terminal reports the predicted CSI content.
  • the method further includes: the terminal sending information about the timer or counter to the network side device.
  • the terminal may send the predicted CSI content, the information of the timer or counter used for CSI prediction, and the third information (or described as prediction auxiliary information) to the network side device when reporting the CSI.
  • the network side can configure the prediction granularity of the CSI prediction model, or the terminal can independently determine the prediction granularity of the CSI prediction model, and the prediction granularity of the CSI prediction model represents the CSI content predicted by the CSI prediction model the smallest granularity.
  • the prediction granularity of the CSI prediction model includes any of the following:
  • the CSI prediction model can be used to predict the CSI of a certain time unit in the future.
  • the CSI prediction model can be used to predict the CSI at the time of retransmission.
  • the CSI prediction model may be used to predict CSI of all time units in a certain future CSI measurement reporting period, where the CSI measurement reporting period may be a period for the terminal to report a CSI report (report).
  • Each CSI measures the CSI of all time units in the previous cycle.
  • the CSI prediction model can be used to predict the CSI of all time units in each future CSI measurement period.
  • the time unit may be a time slot, sub-slot, symbol or transmission time interval (Transmission Time Interval, TTI).
  • TTI Transmission Time Interval
  • the granularity of the reported predicted CSI content includes any of the following:
  • the CSI prediction model predicts a CSI content, and the terminal reports a predicted CSI content.
  • the terminal may also process the predicted CSI content through the CPU.
  • the CSI prediction model cannot perform CSI prediction during training.
  • the number of CPUs for the CSI prediction model during training is the same as the number of CSI-RS resources.
  • CPU occupation time from the time when the last symbol of the resource is reported to when the CSI measurement information (or described as CSI content) is sent to the CSI prediction model.
  • the CSI prediction model When the CSI prediction model is in effect, it will also collect the channel information measured on each CSI-RS resource as the input of the CSI prediction model, so the number of CPUs of the CSI prediction model during training and CSI- The number of RS resources is the same.
  • the CSI prediction model may be performed at the same time as the CSI measurement report during the CPU occupation period. If the base station configures multiple CSIs for the terminal, when they take effect at the same time, it may exceed the maximum number of CPUs supported by the terminal and cause conflicts. In this case, CSI measurement and CSI Forecast priority should follow the following rules:
  • non-periodic measurement CSI > PUSCH measurement semi-persistent (Semi-Persistent, SP-CSI) > PUCCH measurement SP-CSI > periodic measurement CSI > CSI sample collection/prediction.
  • this CSI measurement information is not used for collection, prediction or delayed collection and prediction.
  • the delay is used for prediction, the time cannot be later than the next CSI measurement report time, and if it is later than the next CSI measurement report time, the current CSI measurement information can be discarded.
  • the terminal when the terminal satisfies the trigger condition of CSI prediction, the terminal receives first information, and the first information is used to instruct the terminal to perform CSI prediction; when the terminal receives the In the case of the first information, the terminal performs CSI prediction, obtains the predicted CSI content, improves the triggering method of the CSI prediction on the terminal side, and further improves the reporting process of the predicted CSI content, and replaces the CSI measurement with the CSI prediction , which can effectively save spectrum resources.
  • the network side device can use the preset CSI-RS resources for the transmission of other information, which enhances the transmission reliability in the scene of rapid channel change.
  • an embodiment of the present application provides a method for predicting CSI.
  • the subject of the method may be a network side device, such as a base station, and the specific steps include: Step 701 .
  • Step 701 The network side device sends first information, where the first information is used to instruct the terminal to perform CSI prediction.
  • the network side device sends the first information, including:
  • the network side device receives second information through the first resource, where the second information is used to indicate that the terminal satisfies a trigger condition of CSI prediction;
  • the network side device When the network side device detects that the energy on the first resource is greater than or equal to a first threshold, the network side device sends the first information.
  • the triggering conditions for the CSI prediction include one or more of the following:
  • the difference between the latest CSI content and the first value is greater than or equal to the second threshold, and the first value is determined based on the CSI content of multiple consecutive periods;
  • the location area identifier currently received by the terminal is different from the location area identifier previously received by the terminal;
  • the change amount of the moving speed of the terminal is greater than or equal to the fourth threshold.
  • the method also includes:
  • the network side device receives the predicted CSI content and/or third information reported by the terminal, where the third information is used by the network side device to assist the terminal in CSI prediction.
  • the network side device sends the first information, which is used to instruct the terminal to perform CSI prediction, which improves the triggering method of CSI prediction on the terminal side, and replaces CSI measurement with CSI prediction, which can effectively save spectrum Resources:
  • the network side device can use the preset CSI-RS resources for the transmission of other information, which enhances the transmission reliability in the scene of rapid channel change.
  • Step 1 The base station notifies the terminal of the CSI-RS transmission time and time-frequency resource location, CSI prediction model, and CSI prediction report indication time-frequency resource location through RRC signaling.
  • Step 2 Waiting until the preset CSI-RS sending time, the base station sends the CSI-RS on the preset resource.
  • the terminal occupies the CPU to measure the CSI-RS and process the measurement information on the agreed resource until the CSI is reported at the preset CSI reporting time.
  • Step 3 After the terminal measurement report is completed, the CSI prediction and judgment function is started, and the CPU continues to be occupied.
  • the CPU is used for transfer and storage of CSI content (or described as CSI measurement data), CSI data sorting, CSI prediction, and CSI prediction report detection;
  • Step 4 The terminal determines whether the CSI prediction condition is satisfied. If the condition is satisfied, the CSI prediction report indication is sent at the agreed time-frequency resource position of the CSI prediction report indication.
  • Step 5 The base station detects whether the energy value of the time-frequency resource indicated by the preset CSI prediction report meets the threshold. If the threshold is met, activate the CSI prediction model of the terminal through DCI signaling and inform the terminal of the sample threshold of the CSI prediction model.
  • Step 6 The terminal determines whether the amount of CSI measurement data is greater than the sample threshold of the CSI prediction model.
  • the function of predicting auxiliary information reporting can be:
  • the base station After receiving the CSI prediction report instruction from the terminal, the base station delays sending the CSI-RS until a certain CSI prediction report time before calculating the remaining time T residue of the prediction report time. If T residue ⁇ the next measurement time T, then the The content of the second CSI prediction report needs to carry the CSI prediction report expiration indication.
  • the base station After the base station receives the CSI prediction report expiration indication, it will end the delayed CSI-RS transmission and start sending CSI-RS periodically according to the initial RRC configuration cycle; the terminal also End the CSI-RS delayed measurement and reporting, and start to perform CSI-RS measurement and CSI reporting according to the period of the initial RRC configuration.
  • the base station can temporarily delay sending CSI-RS at the next period of CSI measurement reporting. Report the predicted CSI directly on the set periodic reporting time and resources.
  • the base station starts to send according to the initial RRC configuration period, and the terminal performs measurement and CSI reporting according to the preset sending time and resource location of CSI-RS.
  • the CSI prediction method provided in the embodiment of the present application may be executed by a CSI prediction device.
  • the CSI prediction device provided in the embodiment of the present application is described by taking the CSI prediction device executing the CSI prediction method as an example.
  • an embodiment of the present application provides a CSI prediction device, which is applied to a terminal.
  • the device 900 includes:
  • the prediction module 901 is configured to perform CSI prediction on the terminal to obtain predicted CSI content when the terminal meets the trigger condition of CSI prediction and the terminal receives first information, and the first information is used to indicate the The terminal performs CSI prediction.
  • the prediction module 901 is further configured to: activate a CSI prediction model according to the first information, perform CSI prediction through the activated CSI prediction model, and obtain predicted CSI content; wherein , the input information of the CSI prediction model includes the CSI obtained by the terminal through historical measurement of CSI-RS resources.
  • the prediction module 901 is further configured to: acquire the CSI prediction model to be activated and the sample threshold of the CSI prediction model according to the first information; activate the corresponding CSI prediction model; If the number of CSI measurement data of the terminal is greater than or equal to the sample threshold of the CSI prediction model, CSI prediction is performed through the activated CSI prediction model to obtain predicted CSI content; wherein, the first The information includes: the information of the CSI prediction model to be activated and the sample threshold of the CSI prediction model.
  • the prediction module 901 is further configured to: acquire the CSI prediction model to be activated according to the first information; activate the corresponding CSI prediction model; Perform CSI prediction to obtain predicted CSI content; wherein, the first information includes: information of a CSI prediction model to be activated.
  • the CSI prediction model to be activated is a CSI prediction model corresponding to the location information of the terminal.
  • the CSI prediction model is configured by a network side device.
  • the device 900 further includes:
  • the first sending module is configured to send second information through the first resource, and the second information is used to indicate that the terminal satisfies the trigger condition of CSI prediction; wherein, the first information is that the network side device detects the It is sent when the energy on the first resource is greater than or equal to the first threshold.
  • the triggering conditions for the CSI prediction include one or more of the following:
  • the difference between the latest CSI content and the first value is greater than or equal to the second threshold, and the first value is determined based on the previous CSI content of multiple consecutive periods;
  • the location area identifier currently received by the terminal is different from the location area identifier previously received by the terminal;
  • the change amount of the moving speed of the terminal is greater than or equal to the fourth threshold.
  • the device 900 further includes:
  • the second sending module is configured to report the predicted CSI content and/or third information to the network side device, and the third information is used by the network side device to assist the terminal in CSI prediction.
  • the third information instructs the network side device to stop sending the CSI-RS.
  • the third information includes one or more of the following:
  • the fourth information is used to indicate the time when the terminal reports the predicted CSI content
  • the third information instructs the network side device to send the CSI-RS according to a preconfigured time.
  • the third information includes one or more of the following:
  • the seventh information indicates that the time for the terminal to report the predicted CSI content expires
  • the eighth information indicates that the remaining time for the terminal to report the predicted CSI content is less than one CSI measurement reporting time.
  • the device 900 further includes:
  • the first processing module is configured to start a timer; if the timer times out, the prediction module 901 stops CSI prediction and continues to perform CSI measurement; otherwise, the prediction module 901 continues to perform CSI prediction.
  • the timer indicates the time during which the terminal can continuously report the predicted CSI content, or the timer indicates the effective time of the CSI prediction model.
  • the device 900 further includes:
  • the second processing module is configured to start a counter; if the counter exceeds the fifth threshold, the prediction module 901 stops CSI prediction and continues to perform CSI measurement; otherwise, the prediction module 901 continues to perform CSI prediction.
  • the counter indicates the maximum number of periods for reporting the predicted CSI content supported by the terminal, or the counter indicates the maximum number of times the terminal reports the predicted CSI content.
  • the device 900 further includes:
  • the third sending module is configured for the terminal to send the timer or counter information to the network side device.
  • the prediction granularity of the CSI prediction model includes any of the following:
  • the granularity of the reported predicted CSI content includes any of the following:
  • the CSI prediction apparatus in the embodiment of the present application may be an electronic device, such as an electronic device with an operating system, or a component in the electronic device, such as an integrated circuit or a chip.
  • the electronic device may be a terminal.
  • the terminal may include, but not limited to, the types of terminals listed above, which are not specifically limited in this embodiment of the present application.
  • the CSI prediction device provided in the embodiment of the present application can implement the various processes implemented in the method embodiment in FIG. 6 and achieve the same technical effect. To avoid repetition, details are not repeated here.
  • an embodiment of the present application provides a CSI prediction device, which is applied to a network side device.
  • the device 1000 includes:
  • the fourth sending module 1001 is configured to send first information, where the first information is used to instruct the terminal to perform CSI prediction.
  • the fourth sending module 1001 includes:
  • a receiving unit configured to receive second information through the first resource, where the second information is used to indicate that the terminal satisfies a trigger condition for CSI prediction;
  • a sending unit configured to send the first information when it is detected that the energy on the first resource is greater than or equal to a first threshold.
  • the triggering conditions for the CSI prediction include one or more of the following:
  • the difference between the latest CSI content and the first value is greater than or equal to the second threshold, and the first value is determined based on the CSI content of multiple consecutive periods;
  • the location area identifier currently received by the terminal is different from the location area identifier previously received by the terminal;
  • the change amount of the moving speed of the terminal is greater than or equal to the fourth threshold.
  • the device 1000 further includes:
  • the first receiving module is configured to receive the predicted CSI content and/or third information reported by the terminal, where the third information is used by the network side device to assist the terminal in CSI prediction.
  • the CSI prediction apparatus in the embodiment of the present application may be an electronic device, such as an electronic device with an operating system, or a component in the electronic device, such as an integrated circuit or a chip.
  • the electronic device may be a server, a network attached storage (Network Attached Storage, NAS), etc., which are not specifically limited in this embodiment of the present application.
  • Network Attached Storage NAS
  • the CSI prediction device provided by the embodiment of the present application can realize each process realized by the method embodiment in FIG. 7 and achieve the same technical effect. To avoid repetition, details are not repeated here.
  • the embodiment of the present application also provides a terminal, including a processor and a communication interface, the processor is used to perform CSI prediction to obtain the predicted CSI content when the terminal meets the trigger condition of CSI prediction and the terminal receives the first information , the first information is used to instruct the terminal to perform CSI prediction.
  • This terminal embodiment corresponds to the above-mentioned terminal-side method embodiment, and each implementation process and implementation mode of the above-mentioned method embodiment can be applied to this terminal embodiment, and can achieve the same technical effect.
  • FIG. 11 is a schematic diagram of a hardware structure of a terminal implementing an embodiment of the present application.
  • the terminal 1100 includes, but is not limited to: a radio frequency unit 1101, a network module 1102, an audio output unit 1103, an input unit 1104, a sensor 1105, a display unit 1106, a user input unit 1107, an interface unit 1108, a memory 1109, and a processor 1110. At least some parts.
  • the terminal 1100 may also include a power supply (such as a battery) for supplying power to various components, and the power supply may be logically connected to the processor 1110 through the power management system, so as to manage charging, discharging, and power consumption through the power management system. Management and other functions.
  • a power supply such as a battery
  • the terminal structure shown in FIG. 11 does not constitute a limitation on the terminal, and the terminal may include more or fewer components than shown in the figure, or combine some components, or arrange different components, which will not be repeated here.
  • the input unit 1104 may include a graphics processing unit (Graphics Processing Unit, GPU) 11041 and a microphone 11042, and the graphics processor 11041 is used in a video capture mode or an image capture mode by an image capture device (such as the image data of the still picture or video obtained by the camera) for processing.
  • the display unit 1106 may include a display panel 11061, and the display panel 11061 may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like.
  • the user input unit 1107 includes at least one of a touch panel 11071 and other input devices 11072 .
  • Touch panel 11071 also called touch screen.
  • the touch panel 11071 may include two parts, a touch detection device and a touch controller.
  • Other input devices 11072 may include, but are not limited to, physical keyboards, function keys (such as volume control keys, switch keys, etc.), trackballs, mice, and joysticks, which will not be repeated here.
  • the radio frequency unit 1101 may transmit the downlink data from the network side device to the processor 1110 for processing after receiving it; in addition, the radio frequency unit 1101 may send uplink data to the network side device.
  • the radio frequency unit 1101 includes, but is not limited to, an antenna, an amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like.
  • the memory 1109 can be used to store software programs or instructions as well as various data.
  • the memory 1109 may mainly include a first storage area for storing programs or instructions and a second storage area for storing data, wherein the first storage area may store an operating system, an application program or instructions required by at least one function (such as a sound playing function, image playback function, etc.), etc.
  • memory 1109 may include volatile memory or nonvolatile memory, or, memory 1109 may include both volatile and nonvolatile memory.
  • the non-volatile memory can be read-only memory (Read-Only Memory, ROM), programmable read-only memory (Programmable ROM, PROM), erasable programmable read-only memory (Erasable PROM, EPROM), electronically programmable Erase Programmable Read-Only Memory (Electrically EPROM, EEPROM) or Flash.
  • ROM Read-Only Memory
  • PROM programmable read-only memory
  • Erasable PROM Erasable PROM
  • EPROM erasable programmable read-only memory
  • Electrical EPROM Electrical EPROM
  • EEPROM electronically programmable Erase Programmable Read-Only Memory
  • Volatile memory can be random access memory (Random Access Memory, RAM), static random access memory (Static RAM, SRAM), dynamic random access memory (Dynamic RAM, DRAM), synchronous dynamic random access memory (Synchronous DRAM, SDRAM), double data rate synchronous dynamic random access memory (Double Data Rate SDRAM, DDRSDRAM), enhanced synchronous dynamic random access memory (Enhanced SDRAM, ESDRAM), synchronous connection dynamic random access memory (Synch link DRAM , SLDRAM) and Direct Memory Bus Random Access Memory (Direct Rambus RAM, DRRAM).
  • RAM Random Access Memory
  • SRAM static random access memory
  • DRAM dynamic random access memory
  • DRAM synchronous dynamic random access memory
  • SDRAM double data rate synchronous dynamic random access memory
  • Double Data Rate SDRAM Double Data Rate SDRAM
  • DDRSDRAM double data rate synchronous dynamic random access memory
  • Enhanced SDRAM, ESDRAM enhanced synchronous dynamic random access memory
  • Synch link DRAM , SLDRAM
  • Direct Memory Bus Random Access Memory Direct Rambus
  • the processor 1110 may include one or more processing units; optionally, the processor 1110 integrates an application processor and a modem processor, wherein the application processor mainly processes operations related to the operating system, user interface, and application programs, etc., Modem processors mainly process wireless communication signals, such as baseband processors. It can be understood that the foregoing modem processor may not be integrated into the processor 1110 .
  • Processor 1110 configured to perform CSI prediction by the terminal to obtain predicted CSI content when the terminal meets the trigger condition of CSI prediction and the terminal receives first information, and the first information is used to indicate the The terminal performs CSI prediction.
  • the terminal provided by the embodiment of the present application can realize each process realized by the method embodiment in FIG. 6 and achieve the same technical effect. To avoid repetition, details are not repeated here.
  • the embodiment of the present application also provides a network side device, including a processor and a communication interface, where the communication interface is used to send first information, and the first information is used to instruct a terminal to perform CSI prediction.
  • the network-side device embodiment corresponds to the above-mentioned network-side device method embodiment, and each implementation process and implementation mode of the above-mentioned method embodiment can be applied to this network-side device embodiment, and can achieve the same technical effect.
  • the embodiment of the present application also provides a network side device.
  • the network side device 1200 includes: an antenna 1201 , a radio frequency device 1202 , a baseband device 1203 , a processor 1204 and a memory 1205 .
  • the antenna 1201 is connected to the radio frequency device 1202 .
  • the radio frequency device 1202 receives information through the antenna 1201, and sends the received information to the baseband device 1203 for processing.
  • the baseband device 1203 processes the information to be sent and sends it to the radio frequency device 1202
  • the radio frequency device 1202 processes the received information and sends it out through the antenna 1201 .
  • the method performed by the network side device in the above embodiments may be implemented in the baseband device 1203, where the baseband device 1203 includes a baseband processor.
  • the baseband device 1203 may include, for example, at least one baseband board, on which a plurality of chips are arranged, as shown in FIG.
  • the program executes the network device operations shown in the above method embodiments.
  • the network side device may also include a network interface 1206, such as a common public radio interface (Common Public Radio Interface, CPRI).
  • a network interface 1206, such as a common public radio interface (Common Public Radio Interface, CPRI).
  • CPRI Common Public Radio Interface
  • the network side device 1200 in the embodiment of the present application further includes: instructions or programs stored in the memory 1205 and executable on the processor 1204, and the processor 1204 calls the instructions or programs in the memory 1205 to execute the The method of module execution achieves the same technical effect, so in order to avoid repetition, it is not repeated here.
  • this embodiment of the present application also provides a communication device 1300, including a processor 1301 and a memory 1302, and the memory 1302 stores programs or instructions that can run on the processor 1301, such as
  • the communication device 1300 is a terminal, when the program or instruction is executed by the processor 1301, each step of the above-mentioned method embodiment in FIG. 6 can be implemented, and the same technical effect can be achieved.
  • the communication device 1300 is a network-side device, when the program or instruction is executed by the processor 1301, the steps of the above-mentioned method embodiment in FIG. 7 can be implemented, and the same technical effect can be achieved. To avoid repetition, details are not repeated here.
  • the embodiment of the present application also provides a readable storage medium, the readable storage medium stores a program or an instruction, and when the program or instruction is executed by the processor, each process of the above-mentioned method embodiment in FIG. 6 or FIG. 7 is implemented, and The same technical effect can be achieved, so in order to avoid repetition, details will not be repeated here.
  • the processor is the processor in the terminal described in the foregoing embodiments.
  • the readable storage medium includes a computer-readable storage medium, such as a computer read-only memory ROM, a random access memory RAM, a magnetic disk or an optical disk, and the like.
  • the embodiment of the present application further provides a chip, the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the method in the above 6 or Figure 7
  • the chip includes a processor and a communication interface
  • the communication interface is coupled to the processor
  • the processor is used to run programs or instructions to implement the method in the above 6 or Figure 7
  • the chip mentioned in the embodiment of the present application may also be called a system-on-chip, a system-on-chip, a system-on-a-chip, or a system-on-a-chip.
  • the embodiment of the present application further provides a computer program product, the computer program product is stored in a storage medium, and the computer program product is executed by at least one processor to implement the various processes in the above method embodiment in FIG. 6 or FIG. 7 , and can achieve the same technical effect, in order to avoid repetition, it will not be repeated here.
  • the embodiment of the present application also provides a communication device, which is configured to execute the processes in the method embodiment in 6 or 7 above, and can achieve the same technical effect. To avoid repetition, details are not repeated here.
  • the term “comprising”, “comprising” or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article or apparatus comprising a set of elements includes not only those elements, It also includes other elements not expressly listed, or elements inherent in the process, method, article, or device. Without further limitations, an element defined by the phrase “comprising a " does not preclude the presence of additional identical elements in the process, method, article, or apparatus comprising that element.
  • the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved. Functions are performed, for example, the described methods may be performed in an order different from that described, and various steps may also be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.
  • the methods of the above embodiments can be implemented by means of software plus a necessary general-purpose hardware platform, and of course also by hardware, but in many cases the former is better implementation.
  • the technical solution of the present application can be embodied in the form of computer software products, which are stored in a storage medium (such as ROM/RAM, magnetic disk, etc.) , CD-ROM), including several instructions to make a terminal (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) execute the methods described in the various embodiments of the present application.

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Abstract

本申请公开了一种CSI预测方法、装置、通信设备及可读存储介质，该方法包括：在终端满足CSI预测的触发条件，且所述终端接收到第一信息的情况下，所述终端进行CSI预测得到预测的CSI内容，所述第一信息用于指示所述终端进行CSI预测。

Description

CSI预测方法、装置、通信设备及可读存储介质
相关申请的交叉引用
本申请主张在2021年12月23日在中国提交的中国专利申请No.202111590505.4的优先权，其全部内容通过引用包含于此。
技术领域
本申请属于通信技术领域，具体涉及一种CSI预测方法、装置、通信设备及可读存储介质。
背景技术
信道状态信息(Channel State Information，CSI)是终端向基站上报的信道状态信息，基本原理是基站给终端配置适当的CSI参考信号(CSI Reference Signal，CSI-RS)资源，然后终端对CSI-RS进行测量并计算出所需要的CSI，最后终端通过物理上行控制信道(Physical Uplink Control Channel，PUCCH)/物理上行共享信道(Physical Uplink Shared Channel，PUSCH)上报给基站。
CSI中主要包括：信道质量指示(Channel Quality Indicator，CQI)、预编码矩阵指示(Precoding Matrix Indicator，PMI)、秩指示(Rank Indication，RI)、CSI-RS资源指示(CSI-RS Resource Indicator，CRI)、同步信号块秩指示(SS/PBCH Resource Block Indicator，SSBRI)、层1(Layer Indicator，LI)、L1参考信号接收功率(Layer 1 reference signal received power，L1-RSRP)。
当前新空口(New Radio，NR)系统中对于通过测量情况下CSI上报的框架设计已是比较完备，但当引入预测技术后，如何触发终端通过预测的方式得到CSI内容(或者描述为CSI测量信息)是亟待解决的问题。
发明内容
本申请实施例提供一种CSI预测方法、装置、通信设备及可读存储介质，能够解决如何触发终端通过预测的方式得到CSI内容的问题。
第一方面，提供一种CSI预测方法，包括：
在终端满足CSI预测的触发条件，且所述终端接收到第一信息的情况下，所述终端进行CSI预测，得到预测的CSI内容，所述第一信息用于指示所述终端进行CSI预测。
第二方面，提供一种CSI预测方法，包括：
网络侧设备发送第一信息，所述第一信息用于指示终端进行CSI预测。
第三方面，提供一种CSI预测装置，应用于终端，包括：
预测模块，用于在终端满足CSI预测的触发条件，且所述终端接收到第一信息的情况下，所述终端进行CSI预测，得到预测的CSI内容，所述第一信息用于指示所述终端进行CSI预测。
第四方面，提供一种CSI预测装置，应用于网络侧设备，包括：
第四发送模块，用于发送第一信息，所述第一信息用于指示终端进行CSI预测。
第五方面，提供了一种通信设备，包括：处理器，存储器及存储在所述存储器上并可在所述处理器上运行的程序或指令，所述程序或指令被所述处理器执行时实现如第一方面所述的方法的步骤。
第六方面，提供了一种可读存储介质，所述可读存储介质上存储程序或指令，所述程序或指令被处理器执行时实现如第一方面所述的方法的步骤。
第七方面，提供了一种芯片，所述芯片包括处理器和通信接口，所述通信接口和所述处理器耦合，所述处理器用于运行程序或指令，实现如第一方面所述的方法的步骤。
第八方面，提供了一种计算机程序产品，所述计算机程序产品被存储在非瞬态的存储介质中，所述计算机程序产品被至少一个处理器执行以实现如第一方面所述的方法的步骤。
在本申请实施例中，在终端满足CSI预测的触发条件，且所述终端接收到第一信息的情况下，所述终端进行CSI预测得到预测的CSI内容，完善了终端侧的CSI预测的触发方式，并且还进一步完善了预测的CSI内容的上报流程，通过CSI预测替代CSI测量，可以有效节省频谱资源，在CSI预测模型生效期间，网络侧设备可以将预设CSI-RS资源用于其他信息的传输使用，增强了在信道变换快速场景下的传输可靠性。
附图说明
图1是周期上报的流程图；
图2是半持续上报的流程图；
图3是非周期上报的流程图；
图4是非周期/周期CSI和非首次触发的半持续CSI上报的CPU占用时间的示意图；
图5是本申请实施例可应用的一种无线通信系统的框图；
图6是本申请实施例提供的CSI预测方法的流程图之一；
图7是本申请实施例提供的CSI预测方法的流程图之二；
图8是本申请实施例提供的CSI预测上报替换CSI周期测量上报的示意图；
图9是本申请实施例提供的CSI预测装置的示意图之一；
图10是本申请实施例提供的CSI预测装置的示意图之二；
图11是本申请实施例提供终端的示意图；
图12是本申请实施例提供的网络侧设备的示意图；
图13是本申请实施例提供的通信设备的示意图。
具体实施方式
下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚描述，显然，所描述的实施例是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员所获得的所有其他实施例，都属于本申请保护的范围。
本申请的说明书和权利要求书中的术语“第一”、“第二”等是用于区别类似的对象，而不用于描述特定的顺序或先后次序。应该理解这样使用的术语在适当情况下可以互换，以便本申请的实施例能够以除了在这里图示或描述的那些以外的顺序实施，且“第一”、“第二”所区别的对象通常为一类，并不限定对象的个数，例如第一对象可以是一个，也可以是多个。此外，说明书以及权利要求中“和/或”表示所连接对象的至少其中之一，字符“/”一 般表示前后关联对象是一种“或”的关系。
值得指出的是，本申请实施例所描述的技术不限于长期演进型(Long Term Evolution，LTE)/LTE的演进(LTE-Advanced，LTE-A)系统，还可用于其他无线通信系统，诸如码分多址(Code Division Multiple Access，CDMA)、时分多址(Time Division Multiple Access，TDMA)、频分多址(Frequency Division Multiple Access，FDMA)、正交频分多址(Orthogonal Frequency Division Multiple Access，OFDMA)、单载波频分多址(Single-carrier Frequency Division Multiple Access，SC-FDMA)和其他系统。本申请实施例中的术语“系统”和“网络”常被可互换地使用，所描述的技术既可用于以上提及的系统和无线电技术，也可用于其他系统和无线电技术。以下描述出于示例目的描述了新空口(New Radio，NR)系统，并且在以下大部分描述中使用NR术语，但是这些技术也可应用于NR系统应用以外的应用，如第6代(6th Generation，6G)通信系统。
为了便于理解本申请实施例，下面先介绍以下技术点：
一、关于CSI测量和上报的介绍
当前新空口(New Radio，NR)的技术中支持周期、半持续、或者非周期的CSI测量和上报，参见图1、图2和图3，图中示意不同类型下的CSI上报流程。
周期的CSI测量和上报是由无线资源控制(Radio Resource Control，RRC)信令配置无需额外触发上报。半持续的CSI和周期的CSI有一些类似，但区别是需要额外触发，在RRC信令配置完成后，需要基站再次通过媒体接入控制(Medium Access Control，MAC)控制单元(Control Element，CE)或下行控制信息(Downlink Control Information，DCI)触发信息才能够周期性的CSI测量和上报，在未接到触发信息之前是不需要上报的。非周期的CSI就是只能通过DCI触发测量、上报。
二、关于CSI处理单元(CSI Processing Units，CPU)的介绍
CSI测量和上报是利用CSI CPU完成的，CPU表示的是终端对于处理CSI的能力，终端首先会上报给基站自身最大能支持的CPU数目，不同的CSI上报内容占用的CPU数量也不一样，基站会根据终端告知的最大CPU数量 去配置合适的CSI上报,常规CSI上报使用的CPU数目与信道测量资源(Channel Measurement Resource，CMR)个数相同。当基站为终端配置了多种CSI，同时处理时超过了该终端所能支持的CPU数目时，则优先处理高优先级的CSI，若剩余CPU数量仍然够处理次优先级等级的CSI，则再进行次优先等级的CSI处理，以此类推直至处理某个CSI时剩余CPU数目不够，则该CSI不会进行处理或更新。
CPU的占用时间主要分为两种，一种是周期CSI和非首次触发的半持续CSI，该种CSI的CPU占用时间是从CSI-RS测量资源的第一个符号开始，一直到上报资源的最后一个符号结束；另一种是非周期和首次触发的半持续CSI，该种CSI的CPU占用时间是从触发物理下行控制信道(Physical downlink control channel，PDCCH)后面的第一个符号开始，一直到上报资源的最后一个符号结束，参见图4。
图5示出本申请实施例可应用的一种无线通信系统的框图。无线通信系统包括终端51和网络侧设备52。其中，终端51可以是手机、平板电脑(Tablet Personal Computer，TPC)、膝上型电脑(Laptop Computer，LC)或称为笔记本电脑、个人数字助理(Personal Digital Assistant，PDA)、掌上电脑、上网本、超级移动个人计算机(Ultra-Mobile Personal Computer，UMPC)、移动上网装置(Mobile Internet Device，MID)、增强现实(Augmented Reality，AR)/虚拟现实(Virtual Reality，VR)设备、机器人、可穿戴式设备(Wearable Device，WD)、车载设备(Vehicle User Equipment，VUE)、行人终端(Pedestrian User Equipment，PUE)、智能家居(具有无线通信功能的家居设备，如冰箱、电视、洗衣机或者家具等)、游戏机、个人计算机(Personal Computer，PC)、柜员机或者自助机等终端侧设备，可穿戴式设备包括：智能手表、智能手环、智能耳机、智能眼镜、智能首饰(智能手镯、智能手链、智能戒指、智能项链、智能脚镯、智能脚链等)、智能腕带、智能服装等。需要说明的是，在本申请实施例并不限定终端51的具体类型。网络侧设备52可以包括接入网设备或核心网设备，其中，接入网设备也可以称为无线接入网设备、无线接入网(Radio Access Network,RAN)、无线接入网功能或无线接入网单元。接入网设备可以包括基站、无线局域网络(Wireless Local Area Networks，WLAN) 接入点或无线保真(Wireless Fidelity，WiFi)节点等，基站可被称为节点B、演进节点B(eNB)、接入点、基收发机站(Base Transceiver Station，BTS)、无线电基站、无线电收发机、基本服务集(Basic Service Set，BSS)、扩展服务集(Extended Service Set，ESS)、家用B节点、家用演进型B节点、发送接收点(Transmitting Receiving Point，TRP)或所述领域中其他某个合适的术语，只要达到相同的技术效果，所述基站不限于特定技术词汇，需要说明的是，在本申请实施例中仅以NR系统中的基站为例进行介绍，并不限定基站的具体类型。
下面结合附图，通过一些实施例及其应用场景对本申请实施例提供的CSI预测方法、装置、通信设备及可读存储介质进行详细地说明。
参见图6，本申请实施例提供一种CSI预测方法，该方法的执行主体为终端，具体步骤包括：步骤601。
步骤601：在终端满足CSI预测的触发条件，且所述终端接收到第一信息的情况下，所述终端进行CSI预测，得到预测的CSI内容，所述第一信息用于指示所述终端进行CSI预测。
可选地，终端接收RRC信令、媒体接入控制(Medium Access Control，MAC)控制单元(Control Element，CE)或者下行控制信息(Downlink Control Information，DCI)信令等，RRC信令、MAC CE或者DCI信令中携带第一信息。
可以理解，终端是在满足两个条件(条件一和条件二)时，才会进行CSI预测，CSI预测是指终端通过收集历史测量的CSI-RS资源而获取的CSI作为未来时刻的CSI，即终端具有CSI预测判定功能，该终端可以通过CSI预测代替真实的CSI测量。
其中，条件一是：终端满足CSI预测的触发条件；
条件二是：终端接收到第一信息，比如终端基于第一信息可以获取网络侧指示的需要激活CSI预测模型和判定是否满足CSI预测的门限。
可以理解，在本申请实施例中对于终端判断是否满足CSI预测的触发条件和终端接收到第一信息的先后顺序不做限定，比如终端可以先判断是否满足CSI预测的触发条件，然后接收第一信息，或者终端可以先接收第一信息， 然后判断是否满足CSI预测的触发条件，或者，终端判断是否满足CSI预测的触发条件，与接收第一信息同时执行。
在本申请的一种实施方式中，所述CSI预测的触发条件包括以下一项或多项：
(1)最近一次CSI内容与第一值之间的差值大于或等于第二阈值，所述第一值是基于之前的连续多个周期的CSI内容确定的；
可选地，第一值可以是之前的连续多个周期的CSI内容的平滑值或平均值，示例性地，基于历史连续多个周期的CSI内容(预编码矩阵指示(Precoding matrix indicator，PMI)、信道质量指示(Channel quality indicator，CQI)、参考信号接收功率(Reference Signal Received Power，RSRP)等)的平滑值，如果最新一次测量的内容与平滑值差异过大时，表示终端满足CSI预测的触发条件。
(2)最近连续两次CSI内容之间的差值大于或等于第三阈值；
(3)终端当前接收到位置区标识与所述终端之前接收到的位置区标识不同；
示例性地，终端通过检测基站持续发送的广播信息(如系统信息块(System Information Block，SIB)1信息)，发现新收到的位置区识别与之前的位置区识别不同时，表示终端满足CSI预测的触发条件。
(4)在一个周期内多次出现混合自动重传请求(Hybrid Automatic Repeat Request，HARQ)失败；
(5)所述终端的移动速度的变化量大于或等于第四阈值。
示例性地，终端移动速度发生明显变化，表示终端满足CSI预测的触发条件。
在本申请的一种实施方式中，所述终端进行CSI预测，包括：
所述终端根据所述第一信息，激活CSI预测模型(或者描述为CSI预测网络)，通过激活的所述CSI预测模型进行CSI预测，得到预测的CSI内容；
其中，所述CSI预测模型的输入信息包括所述终端获取的历史测量CSI-RS资源得到的CSI。
可选地，CSI预测模型可以是人工智能(Artificial Intelligence，AI)网络、 预测算法、线性预测模型、多项式拟合预测模型等，当然并不限于此。
在本申请的一种实施方式中，所述终端根据所述第一信息，激活CSI预测模型，通过激活的所述CSI预测模型进行CSI预测，得到预测的CSI内容，包括：
所述终端根据所述第一信息，获取待激活的CSI预测模型和所述CSI预测模型的样本门限；
所述终端激活对应的CSI预测模型；
在所述终端的CSI测量数据的数量大于或等于所述CSI预测模型的样本门限的情况下，所述终端通过激活的所述CSI预测模型进行CSI预测，得到预测的CSI内容；
可选地，所述第一信息包括：待激活的CSI预测模型的信息(比如，待激活的CSI预测模型的标识(ID))和所述CSI预测模型的样本门限。
可以理解，CSI预测模型的样本门限是用于判断该CSI预测模型能否用于CSI预测，只有当终端的CSI测量数据(相当于历史CSI测量数据)的数量大于或等于所述CSI预测模型的样本门限的情况下，该CSI预测模型才能用于CSI预测，或者理解为该CSI预测模型预测的CSI内容更加符合实际测量的CSI内容。
在本申请的另一种实施方式中，所述终端根据所述第一信息，获取待激活的CSI预测模型；
所述终端激活对应的CSI预测模型；
所述终端通过激活的所述CSI预测模型进行CSI预测，得到预测的CSI内容；
其中，所述第一信息包括：待激活的CSI预测模型的信息，上述CSI预测模型的样本门限可以是终端在初始接入小区时网络侧给终端配置的。
可以理解，激活后的CSI预测模型可以实现未来时刻CSI内容(或者描述为CSI信息)预测。终端对未来时刻的CSI预测完毕后，可以将预测的CSI内容上报。
在本申请的一种实施方式中，所述待激活的CSI预测模型是与所述终端的位置信息对应的CSI预测模型。
可以理解，网络的覆盖区域划分为许多位置区，以不同的位置区域进行区别，网络会实时更新终端的位置区域变化进行位置区域登记。网络侧设备可以根据当前终端的位置区域和CSI测量信息通知终端激活哪一个CSI预测模型网络。
在本申请的另一种实施方式中，所述待激活的CSI预测模型是与测量的信道特征(比如，CQI、PMI、多普勒频偏信息等)对应的CSI预测模型。
在本申请的一种实施方式中，所述CSI预测模型是网络侧设备配置的。
示例性地，当终端接入小区基站时，网络侧通过RRC信令为终端配置CSI预测模型，此时CSI预测模型处于待激活态，终端不能自行决定是否需要激活CSI预测模型进行CSI预测。
在本申请的一种实施方式中，在所述接收第一信息之前，所述方法还包括：
所述终端通过第一资源(或者描述为预设公共资源或者CSI预测上报指示时频资源)发送第二信息(或者描述为CSI预测指示信息)，所述第二信息用于指示所述终端满足CSI预测的触发条件；
其中，所述第一信息是网络侧设备在检测到所述第一资源上的能量(可以是RSRP、接收信号强度指示(Received Signal Strength Indication，RSSI)等信号的功率)大于或等于第一阈值(或者描述为预测能量门限值)时发送的，可选地，第一资源是网络侧设备配置的。
上述第二信息是一种反馈信息，可以是肯定确认(Acknowledgement，ACK)或否定确认(Negative Acknowledgement，NACK)，网络侧设备无需对该第二信息进行解码。
可以理解，如果网络侧设备在检测到所述第一资源上的能量小于第一阈值时，网络侧设备可以保持当前CSI获取方式。
在本申请的一种实施方式中，所述方法还包括：
所述终端向网络侧设备上报预测的CSI内容和/或第三信息(或者描述为预测辅助信息)，所述第三信息用于所述网络侧设备辅助所述终端进行CSI预测。
可以理解，在进行CSI预测上报时，终端除了上报预测的CSI内容外， 还可以向网络侧设备上报预测辅助信息，便于网络侧设备辅助终端进行CSI预测。
在本申请的一种实施方式中，所述第三信息指示所述网络侧设备停止(或者延期)发送CSI-RS，比如终端通知网络侧设备停止或延期发送周期、非周期、或者半静态CSI-RS。
可选地，所述第三信息包括以下一项或多项：
(1)第四信息，所述第四信息用于指示终端上报预测的CSI内容的时间；
(2)第五信息，所述第五信息表示所述网络侧设备发送CSI-RS的偏移时间；
(3)第六信息，所述第六信息表示所述终端上报CSI内容的偏移时间。
可以理解，网络侧设备可能接收到多个不同终端上报的“终端上报预测的CSI内容的时间”和/或“终端上报CSI内容的偏移时间”，网络侧设备可以从多个不同的“终端上报预测的CSI内容的时间”和/或“终端上报CSI内容的偏移时间”中选择一个“终端上报预测的CSI内容的时间”和/或“终端上报CSI内容的偏移时间”，比如，网络侧设备可以根据“终端上报预测的CSI内容的时间”和/或“终端上报CSI内容的偏移时间”的时间长短来进行选择，在本申请实施例中对选择规则不进行具体限定。
在本申请的另一种实施方式中，所述第三信息指示所述网络侧设备按照预配置的时间发送CSI-RS。
可选地，所述第三信息包括以下一项或多项：
(1)第七信息，所述第七信息表示所述终端上报预测的CSI内容的时间到期；
(2)第八信息，所述第八信息表示所述终端上报预测的CSI内容的时间(或者描述为剩余时间)小于一个CSI测量上报时间。
在本申请的一种实施方式中，在所述终端向网络侧设备发送预测的CSI内容之前，所述方法还包括：
所述终端启动定时器；
如果所述定时器超时，则所述终端停止CSI预测，继续进行CSI测量；否则，所述终端继续进行CSI预测。
在本申请的一种实施方式中，所述定时器表示所述终端可持续上报预测的CSI内容的时间，或者所述定时器表示所述CSI预测模型的有效时间。
可以理解，终端将预测发CSI内容上报前，可以地初始化一个定时器，定时器过时，CSI的预测停止并继续执行CSI测量，进一步地，在CSI测量时间内CSI预测模型可以进行在线更新。
在本申请的一种实施方式中，在所述终端向网络侧设备发送预测的CSI内容之前，所述方法还包括：
所述终端启动计数器；
如果所述计数器超过第五阈值，则所述终端停止CSI预测，继续进行CSI测量；否则，所述终端继续进行CSI预测。
在本申请的一种实施方式中，所述计数器表示所述终端支持的最大上报预测的CSI内容的周期数，或者所述计数器表示所述终端上报预测的CSI内容的最大次数。
在本申请的一种实施方式中，所述方法还包括：所述终端向网络侧设备发送所述定时器或计数器的信息。
可以理解，终端可以在CSI上报时，向网络侧设备发送预测的CSI内容、用于CSI预测的定时器或计数器的信息以及第三信息(或者描述为预测辅助信息)。
在本申请的一种实施方式中，网络侧可以配置CSI预测模型的预测颗粒度，或者终端自主确定CSI预测模型的预测颗粒度，该CSI预测模型的预测颗粒度表示CSI预测模型预测的CSI内容的最小粒度。
其中，所述CSI预测模型的预测颗粒度包括以下任意一种：
(1)一个时间单元的CSI；
即，CSI预测模型可以用于预测未来的某一个时间单元的CSI。
(2)重传时刻的CSI；
即，CSI预测模型可以用于预测重传时刻的CSI。
(3)一个CSI测量上报周期内所有时间单元的CSI；
即，CSI预测模型可以用于预测未来的某一个CSI测量上报周期内所有时间单元的CSI，其中CSI测量上报周期可以是终端上报CSI报告(report) 的周期。
(4)每个CSI测量上周期内所有时间单元的CSI。
即，CSI预测模型可以用于预测未来的每个CSI测量上周期内所有时间单元的CSI。
可选地，时间单元可以是时隙、子时隙、符号或者传输时间间隔(Transmission Time Interval，TTI)。
在本申请的一种实施方式中，上报的预测的CSI内容的颗粒度包括以下任意一种：
(1)所述CSI预测模型预测的一个CSI内容；
即，CSI预测模型预测一个CSI内容，终端上报一个预测的CSI内容。
(2)所述CSI预测模型预测的多个时间单元或周期内的CSI内容分批上报；
(3)所述CSI预测模型预测的多个时间单元或周期内的CSI内容全部上报。
终端在CSI预测模型预测过程中还可以通过CPU处理预测的CSI内容。由于CSI预测模型存在两种状态：一个是训练期(模型更新期)，另一个是生效期。CSI预测模型处于训练期间不能进行CSI预测。
(1)CSI预测模型处于训练期时：
1-1：CPU数量：
由于会收集每个CSI-RS资源上所测量的信息用于CSI预测模型更新，因此CSI预测模型在训练期间的CPU的数量和CSI-RS资源的数量相同。
1-2：CPU的占用时间：从上报资源的最后一个符号开始，直到将CSI测量信息(或者描述为CSI内容)送入CSI预测模型结束。
(2)CSI预测模型生效期时：
2-1：CPU数量：
2-1-1：CSI预测模型处于生效期间，也会收集每个CSI-RS资源上所测量的信道信息用作CSI预测模型的输入，因此CSI预测模型在训练期间的CPU的数量和CSI-RS资源的数量相同。
2-2：CPU占用时间：
2-2-1：未达到预测样本门限：
从上报资源的最后一个符号开始，直到将CSI测量信息送入CSI预测模型结束。
2-2-2：达到预测样本门限：
从上报资源的最后一个符号开始，直到CSI预测模型预测结束。
CSI预测模型在CPU占用期间可能会和CSI测量上报同时进行，若基站给终端配置了多个CSI，同时生效时则可能会超过终端最大支持的CPU数造成冲突，针对这种情况CSI测量和CSI预测优先级应该遵循以下规则：
规则1：非周期测量CSI＞PUSCH的测量半持续(Semi-Persistent，SP-CSI)＞PUCCH的测量SP-CSI＞周期测量CSI＞CSI样本收集/预测。
规则2：波束管理的测量CSI＞测量获取CSI＞CSI收集/预测。
使用以上规则后，若出现无CPU可用时，本次CSI测量信息不用于收集、预测或延迟收集、预测。特别的是，如果是延迟用于预测，其时间不能晚于下一次CSI测量上报时间，若晚于下一次CSI测量上报时间，本次CSI测量信息可以丢弃。
在本申请实施例中，在终端满足CSI预测的触发条件的情况下，所述终端接收第一信息，所述第一信息用于指示所述终端进行CSI预测；在所述终端接收到所述第一信息的情况下，所述终端进行CSI预测，得到预测的CSI内容，完善了终端侧的CSI预测的触发方式，并且还进一步完善了预测的CSI内容的上报流程，通过CSI预测替代CSI测量，可以有效节省频谱资源，在CSI预测模型生效期间，网络侧设备可以将预设CSI-RS资源用于其他信息的传输使用，增强了在信道变换快速场景下的传输可靠性。
参见图7，本申请实施例提供一种CSI预测方法，该方法的执行主体可以是网络侧设备，比如基站等，具体步骤包括：步骤701。
步骤701：网络侧设备发送第一信息，所述第一信息用于指示终端进行CSI预测。
在本申请的一种实施方式中，网络侧设备发送第一信息，包括：
所述网络侧设备通过第一资源接收第二信息，所述第二信息用于指示所述终端满足CSI预测的触发条件；
在所述网络侧设备检测到所述第一资源上的能量大于或等于第一阈值的情况下，所述网络侧设备发送所述第一信息。
在本申请的一种实施方式中，所述CSI预测的触发条件包括以下一项或多项：
(1)最近一次CSI内容与第一值之间的差值大于或等于第二阈值，所述第一值是基于连续多个周期的CSI内容确定的；
(2)最近连续两次CSI内容之间的差值大于或等于第三阈值；
(3)终端当前接收到位置区标识与所述终端之前接收到的位置区标识不同；
(4)在一个周期内多次出现HARQ失败；
(5)所述终端的移动速度的变化量大于或等于第四阈值。
在本申请的一种实施方式中，所述方法还包括：
网络侧设备接收所述终端上报的预测的CSI内容和/或第三信息，所述第三信息用于所述网络侧设备辅助所述终端进行CSI预测。
在本申请实施例中，网络侧设备发送第一信息，所述第一信息用于指示终端进行CSI预测，完善了终端侧的CSI预测的触发方式，通过CSI预测替代CSI测量，可以有效节省频谱资源，在CSI预测模型生效期间，网络侧设备可以将预设CSI-RS资源用于其他信息的传输使用，增强了在信道变换快速场景下的传输可靠性。
实施例一：
下面介绍CSI预测替换CSI测量的过程，如图8所示，具体步骤如下：
步骤1：基站通过RRC信令通知终端CSI-RS发送时间和时频资源位置、CSI预测模型、CSI预测上报指示时频资源位置。
步骤2：等到预设的CSI-RS发送时间，基站在预设的资源上发送CSI-RS。终端占用CPU在约定资源上对CSI-RS进行测量、测量信息处理，直至到预设的CSI上报时刻将CSI上报完成。
步骤3：终端测量上报完成之后，CSI预测判定功能启动，继续占用CPU。
a)若CSI预测模型已生效，占用CPU期间用于CSI内容(或者描述为CSI测量数据)转移存储、CSI数据整理、CSI预测，CSI预测上报检测；
b)若CSI预测模型未生效，占用CPU期间仅用于CSI内容转移存储、CSI数据整理。
若此刻CPU数量不足，则停止处理，等待CPU数目足够时再进行处理，需要说明的是，若等待时间(Twaiting)>下一次CSI测量时间(T)，则抛弃本次CSI内容，不进行数据转移、处理。
步骤4：终端判定是否满足CSI预测条件。满足条件，则在约定的CSI预测上报指示时频资源位置发送CSI预测上报指示。
步骤5：基站检测预设CSI预测上报指示的时频资源的能量值是否满足门限。若满足门限，则通过DCI信令激活终端的CSI预测模型并告知终端CSI预测模型的样本门限。
步骤6：终端判定CSI测量数据数量是否大于CSI预测模型的样本门限。
a)若CSI测量数据数量大于或等于CSI预测模型的样本门限，则进行CSI预测，终端则在下次CSI上报时将预测的CSI内容及CSI预测辅助信息上报；否则本次不进行CSI预测。其中预测辅助信息上报的作用可以是：
i.告知基站终端下次为CSI预测上报，并且携带建议基站的CSI-RS发送偏移时间和CSI测量上报偏移时间T offset，直到T offset到期，否则基站会一直延后发送CSI-RS，终端也不会进行测量操作。或，
ii.基站在接收到终端的CSI预测上报指示后，延后发送CSI-RS，直到某次CSI预测上报前计算预测上报时间的剩余时间T residue，若T residue＜下一次测量时间T，则该次CSI预测上报内容需要携带CSI预测上报到期指示，基站收到CSI预测上报到期指示后，结束延后CSI-RS发送并开始按照初始RRC配置的周期，开始周期发送CSI-RS；终端也结束CSI-RS延后测量和上报，开始按照初始RRC配置的周期进行CSI-RS测量及CSI上报。
只要在CSI预测上报时间内且终端已经通过某次周期的CSI测量上报已经告知基站已经可以CSI预测上报，在下次周期的CSI测量上报时，基站可以暂时延后周期发送CSI-RS，终端在预设的周期上报时间和资源上直接将预测CSI上报。CSI预测上报时间到期或剩余时间不足一个CSI上报时间，基站开始按照初始RRC配置的周期进行发送，终端按照预设的发送CSI-RS时间、资源位置进行测量及CSI上报。
本申请实施例提供的CSI预测方法，执行主体可以为CSI预测装置。本申请实施例中以CSI预测装置执行CSI预测方法为例，说明本申请实施例提供的CSI预测装置。
参见图9，本申请实施例提供一种CSI预测装置，应用于终端，该装置900包括：
预测模块901，用于在终端满足CSI预测的触发条件，且所述终端接收到第一信息的情况下，所述终端进行CSI预测，得到预测的CSI内容，所述第一信息用于指示所述终端进行CSI预测。
在本申请的一种实施方式中，所述预测模块901进一步用于：根据所述第一信息，激活CSI预测模型，通过激活的所述CSI预测模型进行CSI预测，得到预测的CSI内容；其中，所述CSI预测模型的输入信息包括所述终端获取的历史测量CSI-RS资源得到的CSI。
在本申请的一种实施方式中，所述预测模块901进一步用于：根据所述第一信息，获取待激活的CSI预测模型和所述CSI预测模型的样本门限；激活对应的CSI预测模型；如果在所述终端的CSI测量数据的数量大于或等于所述CSI预测模型的样本门限的情况下，通过激活的所述CSI预测模型进行CSI预测，得到预测的CSI内容；其中，所述第一信息包括：待激活的CSI预测模型的信息和所述CSI预测模型的样本门限。
在本申请的另一种实施方式中，所述预测模块901进一步用于：根据所述第一信息，获取待激活的CSI预测模型；激活对应的CSI预测模型；通过激活的所述CSI预测模型进行CSI预测，得到预测的CSI内容；其中，所述第一信息包括：待激活的CSI预测模型的信息。
在本申请的一种实施方式中，所述待激活的CSI预测模型是与所述终端的位置信息对应的CSI预测模型。
在本申请的一种实施方式中，所述CSI预测模型是网络侧设备配置的。
在本申请的另一种实施方式中，装置900还包括：
第一发送模块，用于通过第一资源发送第二信息，所述第二信息用于指示所述终端满足CSI预测的触发条件；其中，所述第一信息是网络侧设备在检测到所述第一资源上的能量大于或等于第一阈值时发送的。
在本申请的一种实施方式中，所述CSI预测的触发条件包括以下一项或多项：
(1)最近一次CSI内容与第一值之间的差值大于或等于第二阈值，所述第一值是基于之前的连续多个周期的CSI内容确定的；
(2)最近连续两次CSI内容之间的差值大于或等于第三阈值；
(3)终端当前接收到位置区标识与所述终端之前接收到的位置区标识不同；
(4)在一个周期内多次出现HARQ失败；
(5)所述终端的移动速度的变化量大于或等于第四阈值。
在本申请的一种实施方式中，装置900还包括：
第二发送模块，用于向网络侧设备上报预测的CSI内容和/或第三信息，所述第三信息用于所述网络侧设备辅助所述终端进行CSI预测。
在本申请的一种实施方式中，所述第三信息指示所述网络侧设备停止发送CSI-RS。
在本申请的一种实施方式中，所述第三信息包括以下一项或多项：
(1)第四信息，所述第四信息用于指示终端上报预测的CSI内容的时间；
(2)第五信息，所述第五信息表示所述网络侧设备发送CSI-RS的偏移时间；
(3)第六信息，所述第六信息表示所述终端上报CSI内容的偏移时间。
在本申请的一种实施方式中，所述第三信息指示所述网络侧设备按照预配置的时间发送CSI-RS。
在本申请的一种实施方式中，所述第三信息包括以下一项或多项：
第七信息，所述第七信息表示所述终端上报预测的CSI内容的时间到期；
第八信息，所述第八信息表示所述终端上报预测的CSI内容的剩余时间小于一个CSI测量上报时间。
在本申请的一种实施方式中，装置900还包括：
第一处理模块，用于启动定时器；如果所述定时器超时，则所述预测模块901停止CSI预测，继续进行CSI测量；否则，所述预测模块901继续进行CSI预测。
在本申请的一种实施方式中，所述定时器表示所述终端可持续上报预测的CSI内容的时间，或者所述定时器表示所述CSI预测模型的有效时间。
在本申请的一种实施方式中，装置900还包括：
第二处理模块，用于启动计数器；如果所述计数器超过第五阈值，则所述预测模块901停止CSI预测，继续进行CSI测量；否则，所述预测模块901继续进行CSI预测。
在本申请的一种实施方式中，所述计数器表示所述终端支持的最大上报预测的CSI内容的周期数，或者所述计数器表示所述终端上报预测的CSI内容的最大次数。
在本申请的一种实施方式中，装置900还包括：
第三发送模块，用于所述终端向网络侧设备发送所述定时器或计数器的信息。
在本申请的一种实施方式中，所述CSI预测模型的预测颗粒度包括以下任意一种：
(1)一个时间单元的CSI；
(2)重传时刻的CSI；
(3)一个CSI测量上报周期内所有时间单元的CSI；
(4)每个CSI测量上报周期内所有时间单元的CSI。
在本申请的一种实施方式中，上报的预测的CSI内容的颗粒度包括以下任意一种：
(1)所述CSI预测模型预测的一个CSI内容；
(2)所述CSI预测模型预测的多个时间单元或周期内的CSI内容分批上报；
(3)所述CSI预测模型预测的多个时间单元或周期内的CSI内容全部上报。
本申请实施例中的CSI预测装置可以是电子设备，例如具有操作系统的电子设备，也可以是电子设备中的部件，例如集成电路或芯片。该电子设备可以是终端。示例性的，终端可以包括但不限于上述所列举的终端的类型，本申请实施例不作具体限定。
本申请实施例提供的CSI预测装置能够实现图6方法实施例实现的各个过程，并达到相同的技术效果，为避免重复，这里不再赘述。
参见图10，本申请实施例提供一种CSI预测装置，应用于网络侧设备，该装置1000包括：
第四发送模块1001，用于发送第一信息，所述第一信息用于指示终端进行CSI预测。
在本申请的一种实施方式中，第四发送模块1001包括：
接收单元，用于通过第一资源接收第二信息，所述第二信息用于指示所述终端满足CSI预测的触发条件；
发送单元，用于在检测到所述第一资源上的能量大于或等于第一阈值的情况下，发送所述第一信息。
在本申请的一种实施方式中，所述CSI预测的触发条件包括以下一项或多项：
(1)最近一次CSI内容与第一值之间的差值大于或等于第二阈值，所述第一值是基于连续多个周期的CSI内容确定的；
(2)最近连续两次CSI内容之间的差值大于或等于第三阈值；
(3)终端当前接收到位置区标识与所述终端之前接收到的位置区标识不同；
(4)在一个周期内多次出现HARQ失败；
(5)所述终端的移动速度的变化量大于或等于第四阈值。
在本申请的一种实施方式中，装置1000还包括：
第一接收模块，用于接收所述终端上报的预测的CSI内容和/或第三信息，所述第三信息用于所述网络侧设备辅助所述终端进行CSI预测。
本申请实施例中的CSI预测装置可以是电子设备，例如具有操作系统的电子设备，也可以是电子设备中的部件，例如集成电路或芯片。该电子设备可以是服务器、网络附属存储器(Network Attached Storage，NAS)等，本申请实施例不作具体限定。
本申请实施例提供的CSI预测装置能够实现图7的方法实施例实现的各个过程，并达到相同的技术效果，为避免重复，这里不再赘述。
本申请实施例还提供一种终端，包括处理器和通信接口，处理器用于在终端满足CSI预测的触发条件，且所述终端接收到第一信息的情况下，进行CSI预测得到预测的CSI内容，所述第一信息用于指示所述终端进行CSI预测。该终端实施例与上述终端侧方法实施例对应，上述方法实施例的各个实施过程和实现方式均可适用于该终端实施例中，且能达到相同的技术效果。具体地，图11为实现本申请实施例的一种终端的硬件结构示意图。
该终端1100包括但不限于：射频单元1101、网络模块1102、音频输出单元1103、输入单元1104、传感器1105、显示单元1106、用户输入单元1107、接口单元1108、存储器1109以及处理器1110等中的至少部分部件。
本领域技术人员可以理解，终端1100还可以包括给各个部件供电的电源(比如电池)，电源可以通过电源管理系统与处理器1110逻辑相连，从而通过电源管理系统实现管理充电、放电、以及功耗管理等功能。图11中示出的终端结构并不构成对终端的限定，终端可以包括比图示更多或更少的部件，或者组合某些部件，或者不同的部件布置，在此不再赘述。
应理解的是，本申请实施例中，输入单元1104可以包括图形处理单元(Graphics Processing Unit，GPU)11041和麦克风11042，图形处理器11041对在视频捕获模式或图像捕获模式中由图像捕获装置(如摄像头)获得的静态图片或视频的图像数据进行处理。显示单元1106可包括显示面板11061，可以采用液晶显示器、有机发光二极管等形式来配置显示面板11061。用户输入单元1107包括触控面板11071以及其他输入设备11072中的至少一种。触控面板11071，也称为触摸屏。触控面板11071可包括触摸检测装置和触摸控制器两个部分。其他输入设备11072可以包括但不限于物理键盘、功能键(比如音量控制按键、开关按键等)、轨迹球、鼠标、操作杆，在此不再赘述。
本申请实施例中，射频单元1101接收来自网络侧设备的下行数据后，可以传输给处理器1110进行处理；另外，射频单元1101可以向网络侧设备发送上行数据。通常，射频单元1101包括但不限于天线、放大器、收发信机、耦合器、低噪声放大器、双工器等。
存储器1109可用于存储软件程序或指令以及各种数据。存储器1109可主要包括存储程序或指令的第一存储区和存储数据的第二存储区，其中，第 一存储区可存储操作系统、至少一个功能所需的应用程序或指令(比如声音播放功能、图像播放功能等)等。此外，存储器1109可以包括易失性存储器或非易失性存储器，或者，存储器1109可以包括易失性和非易失性存储器两者。其中，非易失性存储器可以是只读存储器(Read-Only Memory，ROM)、可编程只读存储器(Programmable ROM，PROM)、可擦除可编程只读存储器(Erasable PROM，EPROM)、电可擦除可编程只读存储器(Electrically EPROM，EEPROM)或闪存。易失性存储器可以是随机存取存储器(Random Access Memory，RAM)，静态随机存取存储器(Static RAM，SRAM)、动态随机存取存储器(Dynamic RAM，DRAM)、同步动态随机存取存储器(Synchronous DRAM，SDRAM)、双倍数据速率同步动态随机存取存储器(Double Data Rate SDRAM，DDRSDRAM)、增强型同步动态随机存取存储器(Enhanced SDRAM，ESDRAM)、同步连接动态随机存取存储器(Synch link DRAM，SLDRAM)和直接内存总线随机存取存储器(Direct Rambus RAM，DRRAM)。本申请实施例中的存储器1109包括但不限于这些和任意其它适合类型的存储器。
处理器1110可包括一个或多个处理单元；可选的，处理器1110集成应用处理器和调制解调处理器，其中，应用处理器主要处理涉及操作系统、用户界面和应用程序等的操作，调制解调处理器主要处理无线通信信号，如基带处理器。可以理解的是，上述调制解调处理器也可以不集成到处理器1110中。
处理器1110，用于在终端满足CSI预测的触发条件，且所述终端接收到第一信息的情况下，所述终端进行CSI预测得到预测的CSI内容，所述第一信息用于指示所述终端进行CSI预测。
本申请实施例提供的终端能够实现图6的方法实施例实现的各个过程，并达到相同的技术效果，为避免重复，这里不再赘述。
本申请实施例还提供一种网络侧设备，包括处理器和通信接口，通信接口用于发送第一信息，所述第一信息用于指示终端进行CSI预测。该网络侧设备实施例与上述网络侧设备方法实施例对应，上述方法实施例的各个实施过程和实现方式均可适用于该网络侧设备实施例中，且能达到相同的技术效果。
具体地，本申请实施例还提供了一种网络侧设备。如图12所示，该网络侧设备1200包括：天线1201、射频装置1202、基带装置1203、处理器1204和存储器1205。天线1201与射频装置1202连接。在上行方向上，射频装置1202通过天线1201接收信息，将接收的信息发送给基带装置1203进行处理。在下行方向上，基带装置1203对要发送的信息进行处理，并发送给射频装置1202，射频装置1202对收到的信息进行处理后经过天线1201发送出去。
以上实施例中网络侧设备执行的方法可以在基带装置1203中实现，该基带装置1203包括基带处理器。
基带装置1203例如可以包括至少一个基带板，该基带板上设置有多个芯片，如图12所示，其中一个芯片例如为基带处理器，通过总线接口与存储器1205连接，以调用存储器1205中的程序，执行以上方法实施例中所示的网络设备操作。
该网络侧设备还可以包括网络接口1206，该接口例如为通用公共无线接口(Common Public Radio Interface，CPRI)。
具体地，本申请实施例的网络侧设备1200还包括：存储在存储器1205上并可在处理器1204上运行的指令或程序，处理器1204调用存储器1205中的指令或程序执行图10所示各模块执行的方法，并达到相同的技术效果，为避免重复，故不在此赘述。
可选的，如图13所示，本申请实施例还提供一种通信设备1300，包括处理器1301和存储器1302，存储器1302上存储有可在所述处理器1301上运行的程序或指令，例如，该通信设备1300为终端时，该程序或指令被处理器1301执行时实现上述图6方法实施例的各个步骤，且能达到相同的技术效果。该通信设备1300为网络侧设备时，该程序或指令被处理器1301执行时实现上述图7方法实施例的各个步骤，且能达到相同的技术效果，为避免重复，这里不再赘述。
本申请实施例还提供一种可读存储介质，所述可读存储介质上存储有程序或指令，该程序或指令被处理器执行时实现上述图6或图7方法实施例的各个过程，且能达到相同的技术效果，为避免重复，这里不再赘述。
其中，所述处理器为上述实施例中所述的终端中的处理器。所述可读存 储介质，包括计算机可读存储介质，如计算机只读存储器ROM、随机存取存储器RAM、磁碟或者光盘等。
本申请实施例另提供了一种芯片，所述芯片包括处理器和通信接口，所述通信接口和所述处理器耦合，所述处理器用于运行程序或指令，实现上述6或图7方法实施例的各个过程，且能达到相同的技术效果，为避免重复，这里不再赘述。
应理解，本申请实施例提到的芯片还可以称为系统级芯片，系统芯片，芯片系统或片上系统芯片等。
本申请实施例另提供了一种计算机程序产品，所述计算机程序产品被存储在存储介质中，所述计算机程序产品被至少一个处理器执行以实现上述图6或图7方法实施例的各个过程，且能达到相同的技术效果，为避免重复，这里不再赘述。
本申请实施例还提供了一种通信设备，被配置为执行上述6或图7方法实施例的各个过程，且能达到相同的技术效果，为避免重复，这里不再赘述。
需要说明的是，在本文中，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、物品或者装置不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、物品或者装置所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括该要素的过程、方法、物品或者装置中还存在另外的相同要素。此外，需要指出的是，本申请实施方式中的方法和装置的范围不限按示出或讨论的顺序来执行功能，还可包括根据所涉及的功能按基本同时的方式或按相反的顺序来执行功能，例如，可以按不同于所描述的次序来执行所描述的方法，并且还可以添加、省去、或组合各种步骤。另外，参照某些示例所描述的特征可在其他示例中被组合。
通过以上的实施方式的描述，本领域的技术人员可以清楚地了解到上述实施例方法可借助软件加必需的通用硬件平台的方式来实现，当然也可以通过硬件，但很多情况下前者是更佳的实施方式。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分可以以计算机软件产品的 形式体现出来，该计算机软件产品存储在一个存储介质(如ROM/RAM、磁碟、光盘)中，包括若干指令用以使得一台终端(可以是手机，计算机，服务器，空调器，或者网络设备等)执行本申请各个实施例所述的方法。
上面结合附图对本申请的实施例进行了描述，但是本申请并不局限于上述的具体实施方式，上述的具体实施方式仅仅是示意性的，而不是限制性的，本领域的普通技术人员在本申请的启示下，在不脱离本申请宗旨和权利要求所保护的范围情况下，还可做出很多形式，均属于本申请的保护之内。

Claims (27)

  1. 一种信道状态信息CSI预测方法，包括：
    在终端满足CSI预测的触发条件，且所述终端接收到第一信息的情况下，所述终端进行CSI预测，得到预测的CSI内容，所述第一信息用于指示所述终端进行CSI预测。
  2. 根据权利要求1所述的方法，其中，所述终端进行CSI预测，得到预测的CSI内容，包括：
    所述终端根据所述第一信息，激活CSI预测模型，通过激活的所述CSI预测模型进行CSI预测，得到预测的CSI内容；
    其中，所述CSI预测模型的输入信息包括所述终端获取的历史测量CSI-RS资源得到的CSI。
  3. 根据权利要求2所述的方法，其中，所述终端根据所述第一信息，激活CSI预测模型，通过激活的所述CSI预测模型进行CSI预测，得到预测的CSI内容，包括：
    所述终端根据所述第一信息，获取待激活的CSI预测模型和所述CSI预测模型的样本门限；
    所述终端激活对应的CSI预测模型；
    如果在所述终端的CSI测量数据的数量大于或等于所述CSI预测模型的样本门限的情况下，所述终端通过激活的所述CSI预测模型进行CSI预测，得到预测的CSI内容；
    或者，
    所述终端根据所述第一信息，获取待激活的CSI预测模型；
    所述终端激活对应的CSI预测模型；
    如果在所述终端的CSI测量数据的数量大于或等于所述CSI预测模型的样本门限的情况下，所述终端通过激活的所述CSI预测模型进行CSI预测，得到预测的CSI内容。
  4. 根据权利要求3所述的方法，其中，所述待激活的CSI预测模型是与所述终端的位置信息对应的CSI预测模型，或者，待激活的CSI预测模型是与测量的信道特征对应的CSI预测模型。
  5. 根据权利要求2所述的方法，其中，所述CSI预测模型是网络侧设备配置的。
  6. 根据权利要求1所述的方法，其中，在所述接收第一信息之前，所述方法还包括：
    所述终端通过第一资源发送第二信息，所述第二信息用于指示所述终端满足CSI预测的触发条件；
    其中，所述第一信息是网络侧设备在检测到所述第一资源上的能量大于或等于第一阈值时发送的。
  7. 根据权利要求1或6所述的方法，其中，所述CSI预测的触发条件包括以下一项或多项：
    最近一次CSI内容与第一值之间的差值大于或等于第二阈值，所述第一值是基于之前的连续多个周期的CSI内容确定的；
    最近连续两次CSI内容之间的差值大于或等于第三阈值；
    所述终端当前接收到位置区标识与所述终端之前接收到的位置区标识不同；
    在一个周期内多次出现混合自动重传请求HARQ失败；
    所述终端的移动速度的变化量大于或等于第四阈值。
  8. 根据权利要求1所述的方法，其中，所述方法还包括：
    所述终端向网络侧设备上报预测的CSI内容和/或第三信息，所述第三信息用于所述网络侧设备辅助所述终端进行CSI预测。
  9. 根据权利要求8所述的方法，其中，所述第三信息指示所述网络侧设备停止发送CSI-RS。
  10. 根据权利要求9所述的方法，其中，所述第三信息包括以下一项或多项：
    第四信息，所述第四信息用于指示终端上报预测的CSI内容的时间；
    第五信息，所述第五信息表示所述网络侧设备发送CSI-RS的偏移时间；
    第六信息，所述第六信息表示所述终端上报CSI内容的偏移时间。
  11. 根据权利要求8所述的方法，其中，所述第三信息指示所述网络侧设备按照预配置的时间发送CSI-RS。
  12. 根据权利要求11所述的方法，其中，所述第三信息包括以下一项或多项：
    第七信息，所述第七信息表示所述终端上报预测的CSI内容的时间到期；
    第八信息，所述第八信息表示所述终端上报预测的CSI内容的时间小于一个CSI测量上报时间。
  13. 根据权利要求8所述的方法，其中，在所述终端向网络侧设备发送预测的CSI内容之前，所述方法还包括：
    所述终端启动定时器；
    如果所述定时器超时，则所述终端停止CSI预测，继续进行CSI测量；否则，所述终端继续进行CSI预测。
  14. 根据权利要求13所述的方法，其中，所述定时器表示所述终端可持续上报预测的CSI内容的时间，或者所述定时器表示所述CSI预测模型的有效时间。
  15. 根据权利要求8所述的方法，其中，在所述终端向网络侧设备发送预测的CSI内容之前，所述方法还包括：
    所述终端启动计数器；
    如果所述计数器超过第五阈值，则所述终端停止CSI预测，继续进行CSI测量；否则，所述终端继续进行CSI预测。
  16. 根据权利要求15所述的方法，其中，所述计数器表示所述终端支持的最大上报预测的CSI内容的周期数，或者所述计数器表示所述终端上报预测的CSI内容的最大次数。
  17. 根据权利要求13或15所述的方法，其中，所述方法还包括：
    所述终端向网络侧设备发送所述定时器或计数器的信息。
  18. 根据权利要求2所述的方法，其中，所述CSI预测模型的预测颗粒度包括以下任意一种：
    一个时间单元的CSI；
    重传时刻的CSI；
    一个CSI测量上报周期内所有时间单元的CSI；
    每个CSI测量上报周期内所有时间单元的CSI。
  19. 根据权利要求2所述的方法，其中，上报的预测的CSI内容的颗粒度包括以下任意一种：
    所述CSI预测模型预测的一个CSI内容；
    所述CSI预测模型预测的多个时间单元或周期内的CSI内容分批上报；
    所述CSI预测模型预测的多个时间单元或周期内的CSI内容全部上报。
  20. 一种CSI预测方法，包括：
    网络侧设备发送第一信息，所述第一信息用于指示终端进行CSI预测。
  21. 根据权利要求20所述的方法，其中，网络侧设备发送第一信息，包括：
    所述网络侧设备通过第一资源接收第二信息，所述第二信息用于指示所述终端满足CSI预测的触发条件；
    在所述网络侧设备检测到所述第一资源上的能量大于或等于第一阈值的情况下，所述网络侧设备发送所述第一信息。
  22. 根据权利要求20或21所述的方法，其中，所述CSI预测的触发条件包括以下一项或多项：
    最近一次CSI内容与第一值之间的差值大于或等于第二阈值，所述第一值是基于连续多个周期的CSI内容确定的；
    最近连续两次CSI内容之间的差值大于或等于第三阈值；
    所述终端当前接收到位置区标识与所述终端之前接收到的位置区标识不同；
    在一个周期内多次出现HARQ失败；
    所述终端的移动速度的变化量大于或等于第四阈值。
  23. 根据权利要求20所述的方法，其中，所述方法还包括：
    网络侧设备接收所述终端上报的预测的CSI内容和/或第三信息，所述第三信息用于所述网络侧设备辅助所述终端进行CSI预测。
  24. 一种CSI预测装置，应用于终端，包括：
    预测模块，用于在终端满足CSI预测的触发条件，且所述终端接收到第一信息的情况下，所述终端进行CSI预测，得到预测的CSI内容，所述第一信息用于指示所述终端进行CSI预测。
  25. 一种CSI预测装置，应用于网络侧设备，包括：
    第四发送模块，用于发送第一信息，所述第一信息用于指示终端进行CSI预测。
  26. 一种通信设备，包括处理器，存储器及存储在所述存储器上并可在所述处理器上运行的程序或指令，其中，所述程序或指令被所述处理器执行时实现如权利要求1至23中任一项所述的方法的步骤。
  27. 一种可读存储介质，所述可读存储介质上存储程序或指令，其中，所述程序或指令被处理器执行时实现如权利要求1至23中任一项所述的方法的步骤。
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