WO2023207852A1 - 通信方法及装置、芯片、芯片模组、存储介质 - Google Patents

通信方法及装置、芯片、芯片模组、存储介质 Download PDF

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Publication number
WO2023207852A1
WO2023207852A1 PCT/CN2023/090106 CN2023090106W WO2023207852A1 WO 2023207852 A1 WO2023207852 A1 WO 2023207852A1 CN 2023090106 W CN2023090106 W CN 2023090106W WO 2023207852 A1 WO2023207852 A1 WO 2023207852A1
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intelligent
csi report
csi
value
information
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PCT/CN2023/090106
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English (en)
French (fr)
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王化磊
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北京紫光展锐通信技术有限公司
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Publication of WO2023207852A1 publication Critical patent/WO2023207852A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H04L5/003—Arrangements for allocating sub-channels of the transmission path
    • H04L5/0053—Allocation of signaling, i.e. of overhead other than pilot signals
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • 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

Definitions

  • the present application relates to the field of communication, and in particular, to a communication method and device, a chip, a chip module, and a storage medium.
  • CSI channel state information
  • This application provides a communication method and device, a chip, a chip module, and a storage medium to implement intelligent CSI reporting.
  • a communication method includes: a terminal device receiving configuration information, the configuration information including channel state information CSI measurement configuration; the terminal device based on intelligent processing parameters and/or the CSI measurement configuration. Configure to obtain an intelligent CSI report; and the terminal device reports the intelligent CSI report; wherein the intelligent CSI report is based on historical channel information, current channel information, historical beam information, and current It is predicted by at least one of the beam information and partial beam information, or obtained by processing the channel information.
  • the method further includes: the terminal device receiving a reporting indication, where the reporting indication includes a type of CSI report, and the type of CSI report includes intelligent CSI reporting, non-intelligent CSI report; the type of CSI report included in the reporting indication is an intelligent CSI report, and the terminal device obtains the intelligent CSI report according to the intelligent processing parameters and/or the CSI measurement configuration; the The type of CSI report included in the reporting indication is a non-intelligent CSI report, and the terminal device obtains the non-intelligent CSI report according to the CSI measurement configuration.
  • a communication method includes: a network device sending configuration information, the configuration information including CSI measurement configuration; and the network device receiving an intelligent CSI report; wherein, the intelligent The CSI report is obtained based on intelligent processing parameters and/or the CSI measurement configuration.
  • the intelligent CSI report is based on historical channel information, current channel information, historical beam information, current beam information, and partial beam information. Predicted by at least one of them, or obtained by processing channel information.
  • the intelligent processing parameters include at least one of the following: the number of CSI processing units AI-CPU occupied by the intelligent CSI report, the The priority of the intelligent CSI report and the calculation time requirement of the intelligent CSI report.
  • the number of AI-CPUs is different from the number of CSI processing unit CPUs occupied by non-intelligent CSI reports.
  • the number of the AI-CPUs is associated with at least one of the following: a subtype of the intelligent CSI report, a number of resources used for channel measurement Quantity, input length of intelligent module.
  • the intelligent CSI report of the first subtype accounts for The number of AI-CPUs used is a first value, and the intelligent CSI report of the first subtype includes channel information obtained by processing channel information; or
  • the number of AI-CPUs occupied by the intelligent CSI report of the second subtype is a second value, and the intelligent CSI report of the second subtype includes current channel information predicted based on historical channel information and/or Channel information within the future set segment; or
  • the number of AI-CPUs occupied by the third sub-type of intelligent CSI report is a third value, and the third sub-type of intelligent CSI report includes current beam information predicted based on historical beam information and/or Beam information for a set time period in the future; or
  • the number of AI-CPUs occupied by the fourth subtype of intelligent CSI report is a fourth value, and the fourth subtype of intelligent CSI report includes other beam information predicted based on partial beam information.
  • the priority of the intelligent CSI report is associated with at least one of the following parameters: a. the maximum number of serving cells N cells , the intelligent The maximum number of CSI report configurations Ms , the value y corresponding to the scheduling attribute of the intelligent CSI report, the value t corresponding to the type of the intelligent CSI report, the serving cell index value c, and the report configuration Logo s.
  • the value of a is 1 to 4, and the value of t is 0 to 3.
  • the value of t corresponding to the intelligent CSI report of the fourth subtype is smaller than the value of t corresponding to the intelligent CSI report of the first subtype. the value of; and/or
  • the value of t corresponding to the intelligent CSI report of the fourth subtype is smaller than the value of t corresponding to the intelligent CSI report of the second subtype;
  • the value of t corresponding to the intelligent CSI report of the third subtype is smaller than the value of t corresponding to the intelligent CSI report of the first subtype;
  • the value of t corresponding to the intelligent CSI report of the third subtype is smaller than the value of t corresponding to the intelligent CSI report of the second subtype.
  • the priority of the intelligent CSI report is associated with at least one of the following parameters: a. the maximum number of serving cells N cells , the intelligent The maximum number of CSI report configurations Ms , the value y corresponding to the scheduling attribute of the intelligent CSI report, the value k corresponding to the type of the intelligent CSI report, the serving cell index value c, and the report configuration identifier s.
  • the value of a is 2; for intelligent CSI reporting, the value of a is 6 or 8.
  • the priority of the intelligent CSI report is associated with at least one of the following parameters: the maximum number of serving cells N cells , the intelligent CSI report The maximum number of configurations M s , the value y corresponding to the scheduling attribute of the intelligent CSI report, the value k corresponding to the type of the intelligent CSI report, the serving cell index value c, and the report configuration identifier s .
  • the value of k is any one of 1 to 4. And/or for intelligent CSI reporting of the first subtype or the second subtype, the value of k is any one of 1 to 5.
  • a third aspect provides a communication device that can implement the communication method in the first aspect.
  • the communication device may be a chip or a terminal.
  • the above method can be implemented through software, hardware, or through hardware executing corresponding software.
  • the communication device includes a transceiver unit and a processing unit, wherein the transceiver unit The unit is configured to receive configuration information, the configuration information including channel state information CSI measurement configuration; the processing unit is configured to obtain an intelligent CSI report according to the intelligent processing parameters and/or the CSI measurement configuration; and The transceiver unit is also configured to report the intelligent CSI report; wherein the intelligent CSI report is based on historical channel information, current channel information, historical beam information, current beam information, and partial beam information. Predicted by at least one of them, or obtained by processing channel information.
  • the transceiver unit is also configured to receive a reporting indication, where the reporting indication includes a type of CSI report, and the type of CSI report includes an intelligent CSI report and a non-intelligent CSI report; the processing unit , it is also used that the type of CSI report included in the reporting indication is an intelligent CSI report, and the intelligent CSI report is obtained according to the intelligent processing parameters and/or the CSI measurement configuration; the processing unit , it is also used that the type of the CSI report included in the reporting indication is a non-intelligent CSI report, and the non-intelligent CSI report is obtained according to the CSI measurement configuration.
  • a fourth aspect provides a communication device that can implement the communication method in the above-mentioned second aspect.
  • the communication device may be a chip or an access network device.
  • the above method can be implemented through software, hardware, or through hardware executing corresponding software.
  • the communication device includes a processing unit and a transceiver unit, wherein the transceiver unit is configured to send configuration information, where the configuration information includes CSI measurement configuration; and the transceiver unit is also configured to For receiving an intelligent CSI report; wherein the intelligent CSI report is obtained according to intelligent processing parameters and/or the CSI measurement configuration, and the intelligent CSI report is based on historical channel information, current At least one of the channel information, historical beam information, current beam information, and partial beam information is predicted, or obtained by processing the channel information.
  • the intelligent processing parameters include at least one of the following: the number of CSI processing units AI-CPU occupied by the intelligent CSI report, the intelligent CSI report The priority and the calculation time requirement of the intelligent CSI report.
  • the number of AI-CPUs is different from the number of CSI processing unit CPUs occupied by non-intelligent CSI reports.
  • the number of AI-CPUs is associated with at least one of the following: the subtype of the intelligent CSI report, the number of resources used for channel measurement, and the intelligent module input length.
  • the number of AI-CPUs occupied by the first subtype of intelligent CSI reporting is a first value, and the intelligent CSI reporting of the first subtype includes channel Channel information obtained through information processing;
  • the number of AI-CPUs occupied by the intelligent CSI report of the second subtype is a second value, and the intelligent CSI report of the second subtype includes current channel information predicted based on historical channel information and/or Channel information within the future set segment; or
  • the number of AI-CPUs occupied by the third sub-type of intelligent CSI report is a third value, and the third sub-type of intelligent CSI report includes current beam information predicted based on historical beam information and/or Beam information for a set time period in the future; or
  • the number of AI-CPUs occupied by the fourth subtype of intelligent CSI report is a fourth value, and the fourth subtype of intelligent CSI report includes other beam information predicted based on partial beam information.
  • the priority of the intelligent CSI report is associated with at least one of the following parameters: a. the maximum number of serving cells N cells , the maximum number of the intelligent CSI report configuration The quantity M s , the value y corresponding to the scheduling attribute of the intelligent CSI report, the value t corresponding to the type of the intelligent CSI report, the serving cell index value c, and the report configuration identifier s.
  • the value of a is 1 to 4, and the value of t is 0 to 3.
  • the value of t corresponding to the intelligent CSI report of the fourth subtype is smaller than the value of t corresponding to the intelligent CSI report of the first subtype;
  • the value of t corresponding to the intelligent CSI report of the fourth subtype is smaller than the value of t corresponding to the intelligent CSI report of the second subtype;
  • the value of t corresponding to the intelligent CSI report of the third subtype is smaller than the value of t corresponding to the intelligent CSI report of the first subtype;
  • the value of t corresponding to the intelligent CSI report of the third subtype is smaller than the value of t corresponding to the intelligent CSI report of the second subtype.
  • the priority of the intelligent CSI report is associated with at least one of the following parameters: a. the maximum number of serving cells N cells , the maximum number of the intelligent CSI report configuration The quantity M s , the value y corresponding to the scheduling attribute of the intelligent CSI report, the value k corresponding to the type of the intelligent CSI report, the serving cell index value c, and the report configuration identifier s.
  • the value of a is 2; for intelligent CSI reporting, the value of a is 6 or 8.
  • the priority of the intelligent CSI report is associated with at least one of the following parameters: the maximum number of serving cells, N cells , and the maximum number of intelligent CSI report configurations, M. s , the value y corresponding to the scheduling attribute of the intelligent CSI report, the value k corresponding to the type of the intelligent CSI report, the serving cell index value c, and the report configuration identifier s.
  • the value of k is any one of 1 to 4; and/or for the third subtype or the fourth subtype, the value of k is any one of 1 to 4;
  • the communication device in the above third aspect or the fourth aspect includes a processor coupled to a memory; the processor is configured to support the device Execute the corresponding functions in the above communication methods.
  • the memory is coupled to the processor and holds programs (instructions) and/or data necessary for the device.
  • the communication device may also include a communication interface for supporting communication between the device and other network elements.
  • the memory may be located inside the communication device or outside the communication device.
  • the communication device in the third aspect or the fourth aspect includes a processor and a transceiver device, and the processor is coupled to the transceiver device, so The processor is used to execute computer programs or instructions to control the transceiver device to receive and send information; when the processor executes the computer program or instructions, the processor is also used to execute codes through logic circuits or Instructions implement the above methods.
  • the transceiver device may be a transceiver, a transceiver circuit or an input/output interface, used for receiving signals from other communication devices other than the communication device and transmitting them to the processor or converting signals from the processor. Sent to other communication devices other than the communication device. When the communication device is a chip, the transceiver device is a transceiver circuit or an input-output interface.
  • the sending unit may be an output unit, such as an output circuit or a communication interface; the receiving unit may be an input unit, such as an input circuit or a communication interface.
  • the sending unit may be a transmitter or a transmitter; the receiving unit may be a receiver or a receiver.
  • a computer-readable storage medium In a fifth aspect, a computer-readable storage medium is provided. Computer programs or instructions are stored in the computer-readable storage medium. When the computer programs or instructions are executed, the methods described in the above aspects are implemented.
  • a sixth aspect provides a computer program product containing instructions that, when run on a communication device, cause The communication device performs the methods described in the above aspects.
  • a seventh aspect provides a communication system, which includes the communication device of the third aspect and the communication device of the fourth aspect.
  • the terminal device can obtain an intelligent CSI report based on the intelligent processing parameters and/or CSI measurement configuration, and report the intelligent CSI report to the network device, thereby realizing the intelligence of the CSI report.
  • Figure 1A is a schematic structural diagram of a communication system provided by an embodiment of the present application.
  • Figure 1B is a schematic structural diagram of another communication system provided by an embodiment of the present application.
  • Figure 2 is a schematic structural diagram of another communication system provided by an embodiment of the present application.
  • Figure 3 is a schematic flow chart of a communication method provided by an embodiment of the present application.
  • Figure 4 is a schematic flow chart of another communication method provided by an embodiment of the present application.
  • Figure 5 is a schematic structural diagram of a communication device provided by an embodiment of the present application.
  • Figure 6 is a schematic structural diagram of another communication device provided by an embodiment of the present application.
  • Figure 7 is a schematic structural diagram of a simplified terminal device provided by an embodiment of the present application.
  • Figure 8 is a schematic structural diagram of a simplified network device provided by an embodiment of the present application.
  • channel information may be used to characterize channel characteristics or characteristics.
  • the channel information may be channel matrix information and/or CSI and/or channel feature vectors.
  • the channel information may also be a CSI report.
  • the channel information may also be time domain information, frequency domain information, time-frequency domain information, or channel information in the delay-doppler domain, etc., and there is no specific limitation on this.
  • the channel matrix information and CSI are explained below.
  • channel matrix information may be used to describe channel matrix related information.
  • the channel matrix information may include one or more of the following: channel matrix H, equivalent channel matrix, precoding matrix W (precoding matrix W can be derived from channel matrix H), right singular vector V of channel matrix H, The eigenvector vi of the square matrix H T H, the vector associated with the channel matrix H (for example, the vector of the channel matrix H under certain processing, etc.).
  • the transmitter has a antennas and the receiver has b antennas.
  • r is the received signal vector after passing through the MIMO channel
  • s is the transmitted signal vector at the transmitter
  • H is the b ⁇ a order channel matrix for the MIMO channel
  • the transmitter can use the precoding method to optimize the spatial characteristics of the transmitted signal vector s according to the channel matrix H, so that the spatial distribution characteristics of the transmitted signal vector s match the channel matrix H, which can effectively reduce the interference
  • the degree of dependence of the receiver algorithm simplifying the receiver algorithm. Through precoding, system performance can be effectively improved.
  • Precoding can use linear or nonlinear methods. Due to complexity and other reasons, in current wireless communications Generally, only linear precoding is considered in the system.
  • W is the precoding matrix.
  • the receiver cannot perform channel estimation on signals sent to other devices, so transmitter precoding can effectively suppress multi-user interference. It can be seen that it is beneficial to the system that the transmitter knows the channel matrix and uses appropriate precoding to process it.
  • the precoding matrix W and the channel matrix H jointly determine the equivalent channel matrix (such as H ⁇ W), and the equivalent channel matrix determines the channel characteristics/characteristics, etc.
  • the precoding matrix W can be derived from the channel matrix H.
  • the precoding matrix W can be a matrix under a certain transformation of the channel matrix H.
  • U [u 1 , u 2 ,..., u b ] is an orthogonal matrix or unitary matrix of order b ⁇ b;
  • V [v 1 , v 2 ,... ., v a ] is an orthogonal matrix or chief matrix of order a ⁇ a.
  • the column vector in V can be called the singular vector (right-singular vec tors ) of the channel matrix H;
  • ⁇ is a diagonal matrix of order a ⁇ a.
  • ⁇ i represents the eigenvalue of the square matrix H T H
  • vi represents the eigenvector of the square matrix H T H.
  • the eigenvector of the square matrix H T H also represents the column vector in the above V. That is to say, all the eigenvectors of the square matrix H T H can form the above V, and the eigenvectors of the square matrix H T H can be the right singular vector of the channel matrix H.
  • CSI can be used to describe information related to channel quality.
  • CSI describes the propagation process of wireless signals between transmitters and receivers, including the effects of distance, scattering, fading, etc. on the signals.
  • CSI can be used by terminal equipment to feedback downlink channel quality to network equipment so that network equipment can perform beam management, mobility management and other processing based on CSI.
  • the CSI sent by the terminal device to the network device may be carried in the CSI report.
  • CSI may also include at least one of the following: CSI reference signal resource indicator (CSI-RS resource indicator, CRI), rank indicator index (rank indicator, RI), channel quality indicator (channel quality indicator, CQI), Precoding matrix indicator index (precoding matrix indicator, PMI), layer indicator index (layer indicator, LI), L1-RSRP, L1-SINR.
  • CSI-RS resource indicator CRI
  • rank indicator index rank indicator, RI
  • channel quality indicator channel quality indicator
  • CQI Precoding matrix indicator index
  • PMI Precoding matrix indicator index
  • layer indicator index layer indicator, LI
  • L1-RSRP L1-SINR
  • the terminal equipment performs channel measurement through downlink reference signals to obtain channel information. Measurement can also be described as evaluating, detecting, or estimating, etc.
  • the downlink reference signal may include but is not limited to CSI-RS, synchronization signal and physical broadcast channel block (Synchronization Signal Block, SSB) or physical broadcast channel demodulation reference signal (PBCH DMRS), etc.
  • the terminal device can perform downlink channel measurement according to the CSI-RS to obtain the channel matrix information, so that the CSI can be obtained according to the channel matrix information.
  • the CSI reports include the following two types: intelligent CSI reports and non-intelligent CSI reports.
  • the intelligent CSI report refers to the CSI report obtained after being processed by the intelligent module of the terminal device, such as the CSI report obtained after compression and prediction by the terminal device;
  • the non-intelligent CSI report refers to the CSI report that has not been intelligentized by the terminal device.
  • the CSI report obtained after processing by the module can, for example, be the CSI obtained according to the priority of the CSI report that needs to be considered when obtaining and reporting the CSI report, the CSI processing unit occupied by the CSI report, and the CSI calculation time requirement of the CSI report, etc. described below.
  • Report Among them, wisdom Energization modules are modules with functions such as prediction and/or compression.
  • the intelligent CSI report can include one or more of the following subtypes (only examples, this application does not limit this):
  • the first subtype intelligent CSI feedback.
  • the basic principle is that the terminal equipment performs channel estimation based on the channel state information-reference signal (CSI-RS) to obtain downlink channel information; an intelligent module is introduced to compress the downlink channel information, and the compressed The channel information is fed back to the network side; the network side then uses an intelligent model to restore the compressed channel information.
  • CSI-RS channel state information-reference signal
  • the second subtype intelligent CSI prediction.
  • the basic principle is to predict the current channel information or the channel information at a certain time or period in the future based on the previous channel information; or to predict the channel information at a certain time or period in the future based on the current channel information. ; Or predict the channel information at a certain time or period in the future based on the previous channel information and the current channel information.
  • the third subtype intelligent time domain beam prediction.
  • the basic principle is to predict the current beam information or the beam information at a certain time or period in the future based on the previous beam information; or to predict the beam information at a certain time or period in the future based on the current beam information. ; Or predict the beam information at a certain time or period in the future based on the previous beam information and the current beam information.
  • the beam can be characterized by a reference signal, such as CSI-RS and/or SSB.
  • Beam information can be understood as the reference signal index and/or the corresponding L1-RSRP or L1-SINR value.
  • the fourth subtype intelligent airspace beam prediction.
  • the basic principle is to obtain other beam information and/or partial beam information based on partial beam information. It can be understood that the beam can be characterized by a reference signal, such as CSI-RS and/or SSB. Beam information can be understood as the reference signal index and/or the corresponding L1-RSRP or L1-SINR value.
  • the intelligent CSI report may not be divided into one or more sub-types, but the intelligent report of each of the above sub-types may be individually called XX intelligent report.
  • the first subtype of intelligent report is called intelligent feedback CSI report; the second subtype of intelligent report is called intelligent prediction CSI report, and so on.
  • This application places no restrictions on the naming of intelligent reports.
  • the known channel information and the unknown channel information are relative to whether the channel information has been determined.
  • the channel information that has been determined is known channel information
  • the channel information that has not yet been determined is unknown channel information.
  • known channel information can be understood as previous channel information or historical channel information
  • unknown channel information can be understood as current channel information and/or future channel information.
  • known channel information can be understood as previous channel information and/or current channel information
  • unknown channel information can be understood as future channel information.
  • the current channel information can also be described as current channel information, current channel information, or current channel information, etc.
  • the previous channel information, current channel information, and future channel information may be measurement resources associated with relative indication information (such as CSI-RS resources and/or channel state information-interference measurement). measurement, CSI-IM) resources, etc.).
  • This indication information is sent by the network side to the terminal device and can indicate the associated measurement resources.
  • the receiving time refers to the time when the terminal device receives the instruction information.
  • the reception time of the measurement resources associated with the indication information may be earlier than or equal to the reception time of the indication information.
  • the channel information determined before the reception time of the measurement resources associated with the indication information is the previous channel information; according to the indication information
  • the channel information determined by the associated measurement resources is the current channel information; the channel information for a certain period of time after the reception time of the measurement resources associated with the indication information (which may or may not include the reception time of the measurement resources associated with the indication information) is for future channel information.
  • the reception time of the measurement resources associated with the indication information may be later than the reception time of the indication information.
  • the channel information determined before the reception time of the measurement resources associated with the indication information is the previous time.
  • Channel information the channel information determined (for example, measured or predicted) based on the measurement resources associated with the indication information is the current channel information; a certain period of time (which may or may not be included) after the reception moment of the measurement resources associated with the indication information.
  • the channel information including the reception time of the measurement resource associated with the indication information is the future channel information.
  • the measurement resources associated with the indication information may be configured in the configuration information.
  • the configuration information may be CSI-MeasConfig, CSI measurement configuration information (i.e., CSI-ReportConfig), or CSI resource configuration information (i.e., CSI -ResourceConfig).
  • the reception time of the measurement resource can be understood as the reception time of the measurement resource, or the time unit of receiving the measurement resource, or the basic time unit of receiving the measurement resource, etc.
  • the previous channel information, current channel information, and future channel information may be relative to the time at which the measurement resource associated with the indication information is located.
  • the moment when the measurement resource is located can be understood as the time or the time unit or the basic time unit where the measurement resource is located. It can also be understood as the time domain resource occupied by the measurement resource. For example, it can be the time unit occupied by the measurement resource, or The basic time unit for measuring resource occupation, etc.
  • the time unit at which the measurement resource is located takes the time unit occupied by the measurement resource as an example.
  • the time unit occupied by the measurement resource associated with the indication information may be earlier than, equal to, or later than the time unit at which the indication information is received.
  • the channel information determined before the time unit occupied by the measurement resources associated with the indication information is the previous channel information; the channel information determined based on the measurement resources associated with the indication information is the current channel information; the measurement resources associated with the indication information are the current channel information.
  • the channel information for a certain period of time after the occupied time unit is the future channel information. For example, taking the time unit as a time slot, assume that the time unit at which the indication information is received is time slot 3 (that is, the index number of the slot is 3), and the time slot occupied by the measurement resource associated with the indication information is time slot 4. Then the channel information determined in and before time slot 3 is the previous channel information, and the channel information determined based on the measurement resources associated with the indication information is the current channel information. During the period from time slot 5 to time slot 7 The channel information within is the future channel information.
  • the value of y can be 0; for semi-persistent CSI reports scheduled to be carried on PUSCH,
  • the value of y can be 1; for the physical uplink control channel that is scheduled to be carried,
  • the value of y can be 2; for the period scheduled to be carried on PUCCH
  • the value of y can be 3; etc.
  • the value of -k may be determined by the type of information contained in the CSI report indicated by the information in CSI-ReportConfig (such as reportQuantity).
  • the value of k can be 0; for CSI reports that do not contain (carry/carry) L1-RSRP or L1-SINR, the value of k can be 1; and so on.
  • L1-RSRP layer1-reference signal receiving power
  • L1- SINR layer1-signal to interference plus noise ratio
  • the value of -c can be the serving cell index value.
  • the value of -s can be the value of reportConfigID in CSI-ReportConfig.
  • the value of -N cells can be the value of the high-level parameter maxNrofServingCells.
  • the value of -M s can be the value of the high-level parameter maxNrofCSI-ReportConfigurations.
  • the name of the maximum number of serving cells specified in the 5G standard is maxNrofServingCells
  • the name of the configuration index of the CSI report is reportConfigID
  • the name of the maximum number of configurations of the CSI report is maxNrofCSIReportConfigurations
  • a CSI report is associated with a priority value, if the priority value Pri CSI (y,k,c,s) associated with one CSI report is less than the priority value Pri CSI (y,k) associated with another CSI report ,c,s), then the priority of this CSI report is higher than the priority of the other CSI report.
  • the terminal device does not transmit CSI reports with a higher priority value Pri CSI (y,k,c,s);
  • the two CSI reports can be multiplexed or discarded based on the priority value.
  • the terminal device can indicate the number of simultaneous CSI calculations (simultaneous CSI calculations) it supports through the high-level parameter simultaneousCSI-ReportsPerCC, N CPU ; in all component carriers, the terminal device can use the high-level parameter
  • the parameter simultaneousCSI-ReportsAllCC indicates the number of simultaneous CSI calculations supported by itself, N CPU .
  • the terminal device If the terminal device supports simultaneous CSI calculation, the terminal device is said to have N CPUs for processing CSI reports.
  • the CPU occupied by the CSI report can represent the terminal device's ability to process CSI.
  • N CPU can be understood as the maximum number or total number of CPUs supported by the terminal device.
  • the N CPU can be reported by the terminal device to the network device through high-level parameters (such as simultaneousCSI-ReportsPerCC and/or simultaneousCSI-ReportsAllCC).
  • the terminal device has N CPUs - L unoccupied CPUs.
  • the network device configures three CSI reports for the terminal device, namely CSI report 0, CSI report 1 and CSI report 2.
  • the priority of CSI report 0 is higher than the priority of CSI report 1
  • the priority of CSI report 1 is higher than the priority of CSI report 2.
  • the terminal device has 10 unoccupied CPUs, if the CSI report 0 occupies 5 CPUs (i.e. ), CSI report 1 occupies 3 CPUs (i.e. ), CSI report 2 occupies 5 CPUs (i.e. ), then since 5+3+5>10, the terminal device does not need to update CSI report 2.
  • the number of CPUs occupied by a CSI report is O CPU and can exist as follows:
  • the number of CPUs occupied by CSI reporting is the total number of CPUs reported by the terminal equipment.
  • ⁇ PDCCH corresponds to the subcarrier spacing of the PDCCH that transmits DCI
  • ⁇ UL corresponds to the bearer
  • ⁇ CSI-RS corresponds to the subcarrier spacing of the aperiodic CSI-RS triggered by DCI.
  • the codebookType in the CSI-ReportConfig corresponding to a CSI report is set to 'typeI-SinglePanel', and the corresponding CSI-RS resource set used for channel measurement is configured with 2 resource groups, including N resource pairs, M
  • O CPU 2N+M. In other words, the number of CPUs occupied by the CSI report is 2N+M.
  • O cPU K s , where K s is the number of NZP-CSI-RS resources (which may also be called channel measurement resources) used for channel measurement in the NZP-CSI-RS-ResourceSet. That is to say, the number of CPUs occupied by the CSI report is the number of channel measurement resources associated with the CSI report.
  • the number of OFDM symbols occupied by the CPU occupied by the CSI report can exist as follows:
  • the corresponding CSI reference resource is up to the last symbol of the reported resource, where the reported resource is the PUSCH/PUCCH used to carry the periodic CSI report or semi-persistent CSI report.
  • the reporting resource is the PUSCH used to carry the aperiodic CSI report.
  • the reported resource is the PUSCH used to carry the first semi-persistent CSI report.
  • the CSI-RS-ResourceSet is not configured with the CSI report of the high-level parameter trs-Info.
  • the CSI report occupies the number of OFDM symbols occupied by the CPU and can exist as follows:
  • the OFDM symbols occupied by the CPU occupied by the semi-persistent CSI report (excluding the first (initial) semi-persistent CSI report on the PUSCH after the report is triggered by the PDCCH) are:
  • the measurement resource is the latest one among the CSI-RS/synchronization signal block (SSB) resources used for channel measurement for L1-RSRP calculation.
  • SSB CSI-RS/synchronization signal block
  • the terminal device can provide a valid CSI report.
  • Z ref is defined as the next uplink symbol
  • CP cyclic prefix
  • Z' ref (n) is defined as the next uplink symbol.
  • the measurement resources are aperiodic CSI-RS resources used for channel measurement (when aperiodic CSI-RS is used for channel measurement of the nth triggered CSI report), aperiodic CSI-RS resources used for interference measurement IM, the latest one of the aperiodic NZP CSI-RS used for interference measurement.
  • the terminal device may ignore the DCI. In other words, the terminal device does not need to report the CSI report triggered by the DCI.
  • the terminal device may ignore the DCI.
  • the terminal device does not need to update the CSI for the nth triggered CSI report.
  • ⁇ is the subcarrier spacing configuration and corresponds to min( ⁇ PDCCH , ⁇ CSI-RS , ⁇ UL ).
  • ⁇ PDCCH corresponds to the subcarrier spacing of PDCCH that transmits DCI
  • ⁇ UL corresponds to the subcarrier spacing of PUSCH that carries CSI
  • ⁇ CSI-RS corresponds to the subcarrier spacing of aperiodic CSI-RS triggered by DCI.
  • ⁇ is the subcarrier spacing configuration and corresponds to min( ⁇ PDCCH , ⁇ CSI-RS , ⁇ UL ).
  • (Z(m),Z′(m)) can be defined as (Z of Table 2 1 ,Z′ 1 ). or,
  • (Z(m), Z′(m)) can be defined as (Z 3 , Z′ 3 ) of Table 2.
  • X ⁇ is determined based on the beam reporting time (beamReportTiming) capability reported by the terminal equipment
  • KB l is determined based on the beam switching time (beamSwitchTiming) capability reported by the terminal equipment.
  • (Z(m), Z′(m)) can be defined as (Z 2 , Z′ 2 ) of Table 2.
  • the terminal device can obtain an intelligent CSI report based on intelligent processing parameters and/or CSI measurement configuration, and report the intelligent CSI report to the network device, realizing the intelligence of the CSI report. .
  • Figure 1A shows a schematic diagram of a communication system involved in this application.
  • the communication system may include one or more network devices (only one is shown in the figure) and one or more terminal devices connected to the network device.
  • a network device can transmit data or control signaling to one or more terminal devices.
  • multiple network devices can also transmit data or control signaling for a terminal device at the same time.
  • Network equipment can be any device with wireless transceiver functions, including but not limited to: base station (NodeB), evolved base station (eNodeB), base station in 5G communication system, base station or network equipment in future communication system, WiFi system Access nodes, wireless relay nodes, wireless backhaul nodes, etc.
  • the network device can also be a wireless controller in a cloud radio access network (CRAN) scenario.
  • Network equipment can also be small stations, transmission nodes (transmission reference point, TRP), etc.
  • TRP transmission reference point
  • Terminal equipment is a device with wireless transceiver functions. It can be deployed on land (including indoors or outdoors), and can be handheld, wearable or vehicle-mounted; it can also be deployed on water, such as ships, etc.; it can also be deployed in the air, such as Planes, balloons, satellites, etc.
  • Terminal devices can be mobile phones, tablets, computers with wireless transceiver functions, wearable devices, drones, helicopters, airplanes, ships, robots, robotic arms, smart home equipment, virtual reality (virtual reality) reality (VR) terminal equipment, augmented reality (AR) terminal equipment, wireless terminal equipment in industrial control (industrial control), wireless terminal equipment in self-driving (self-driving), complete vehicles, and in-vehicle Functional module, wireless terminal equipment in remote medical, wireless terminal equipment in smart grid, wireless terminal equipment in transportation safety, wireless terminal equipment in smart city (For example, street lights, etc.), wireless terminal equipment in smart homes, etc.
  • the embodiments of this application do not limit application scenarios.
  • Terminal equipment can sometimes also be called user equipment (UE), access terminal equipment, UE unit, mobile station, mobile station, remote station, remote terminal equipment, mobile equipment, terminal equipment (terminal), wireless communication equipment, UE agent or UE device, etc.
  • UE user equipment
  • access terminal equipment UE unit
  • mobile station mobile station
  • remote station remote terminal equipment
  • mobile equipment terminal equipment
  • wireless communication equipment UE agent or UE device, etc.
  • the embodiments of this application do not limit the specific technology and specific equipment form used by the terminal equipment.
  • the terminal device or network device includes a hardware layer, an operating system layer running on the hardware layer, and an application layer running on the operating system layer.
  • This hardware layer includes hardware such as central processing unit (CPU), memory management unit (MMU) and memory (also called main memory).
  • the operating system can be any one or more computer operating systems that implement business processing through processes, such as Linux operating system, Unix operating system, Android operating system, iOS operating system or windows operating system, etc.
  • This application layer includes applications such as browsers, address books, word processing software, and instant messaging software.
  • the embodiments of the present application do not specifically limit the specific structure of the execution subject of the method provided by the embodiments of the present application.
  • the method provided by the embodiments of the present application can be executed by running a program that records the code of the method provided by the embodiments of the present application.
  • the execution subject of the method provided by the embodiment of the present application can be a terminal device or a network device, or a functional module in the terminal device or network device that can call a program and execute the program.
  • the relevant functions of the terminal device or network device in the embodiment of this application can be implemented by one device, or can be implemented by multiple devices together, or can be implemented by one or more functional modules in one device.
  • the implementation of this application The example does not specifically limit this. It can be understood that the above functions can be either network elements in hardware devices, software functions running on dedicated hardware, or a combination of hardware and software, or instantiated on a platform (for example, a cloud platform) Virtualization capabilities.
  • the terminal device 10 includes a processor 101, a memory 102 and a transceiver 103.
  • the transceiver 103 includes a transmitter 1031, a receiver 1032 and an antenna 1033.
  • the network device 20 includes a processor 201, a memory 202, and a transceiver 203.
  • the transceiver 203 includes a transmitter 2031, a receiver 2032, and an antenna 2033.
  • the receiver 1032 may be configured to receive transmission control information through the antenna 1033, and the transmitter 1031 may be configured to send transmission feedback information to the network device 20 through the antenna 1033.
  • the transmitter 2031 may be configured to send transmission control information to the terminal device 10 through the antenna 2033, and the receiver 2032 may be configured to receive transmission feedback information sent by the terminal device 10 through the antenna 2033.
  • the processor 101/processor 201 can be a CPU, a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits used to control the execution of the program of the present application.
  • ASIC application-specific integrated circuit
  • the memory 102/memory 202 may be a device with a storage function.
  • it can be read-only memory (ROM) or other types of static storage devices that can store static information and instructions, random access memory (random access memory, RAM) or other types of things that can store information and instructions.
  • Dynamic storage devices can also be electrically erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disk storage, optical disc storage ( Including compressed optical discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or can be used to carry or store desired program code in the form of instructions or data structures and can be stored by a computer. any other medium, but not limited to this.
  • the memory can exist independently and be connected to the processor through communication lines. Memory can also be integrated with the processor.
  • the memory 102/memory 202 is used to store computer execution instructions for executing the solution of the present application, and the execution is controlled by the processor 101/processor 201.
  • the processor 101/processor 201 is used to execute computer execution instructions stored in the memory 102/memory 202, thereby implementing the communication method provided in the embodiment of the present application.
  • the processor 101/processor 201 may also perform processing-related functions in the communication method provided in the following embodiments of the present application.
  • the computer-executed instructions in the embodiments of the present application may also be called application codes, which are not specifically limited in the embodiments of the present application.
  • system and “network” in the embodiments of this application can be used interchangeably.
  • Multiple means two or more.
  • plural may also be understood as “at least two” in the embodiments of this application.
  • And/or describes the relationship between related objects, indicating that there can be three relationships. For example, A and/or B can mean: A exists alone, A and B exist simultaneously, and B exists alone.
  • the character "/”, unless otherwise specified, generally indicates that the related objects are in an "or” relationship.
  • FIG. 3 it is a schematic flow chart of a communication method provided by an embodiment of the present application.
  • the method may include the following steps:
  • the network device sends configuration information.
  • the terminal device receives the configuration information.
  • the network device needs to obtain the CSI measurement report (referred to as "CSI report") of the terminal device, and can send configuration information to the terminal device to instruct the terminal device to report CSI.
  • the network device is judging events or performing some type of When performing activities such as algorithms, if you need to obtain the CSI report of the terminal device, you can initiate a query for the CSI report of the terminal device and send configuration information to the terminal device.
  • the configuration information includes CSI measurement configuration (CSI-MeasConfig).
  • the CSI measurement configuration includes information used to instruct the terminal device to perform CSI measurement behavior. Specifically, the CSI measurement configuration indicates or includes the reporting content that needs to be measured, CSI resource configuration (CSI-ResourceConfig), etc.
  • the CSI report configuration (CSI-ReportConfig) can be included in the CSI measurement configuration, or can be configured separately.
  • the CSI report configuration is not included in the CSI measurement configuration, and the configuration information may also include CSI report configuration (CSI-ReportConfig).
  • the CSI report configuration includes information used to instruct the terminal device to perform CSI measurement behavior. Specifically, the CSI report configuration indicates or includes the reporting content that needs to be measured, CSI resource configuration (CSI-ResourceConfig), etc.
  • the CSI report configuration is included in the CSI measurement configuration as an example.
  • the terminal device obtains an intelligent CSI report based on intelligent processing parameters and/or CSI measurement configuration.
  • the terminal device learns the reported content that needs to be measured based on the above CSI measurement configuration, and performs CSI measurement based on the CSI resource configuration associated with the configuration information.
  • the measurement results may also be processed intelligently according to intelligent processing parameters to obtain an intelligent CSI report.
  • the intelligent CSI report is based on historical channel information, current channel information, historical channel information and current channel information, current beam information, historical beam information and current beam information, historical beam information or partial beams Information is predicted or obtained by processing channel information.
  • the current channel information or the channel information at a certain time or period in the future can be predicted based on historical channel information; or the channel information at a certain time or period in the future can be predicted based on the current channel information; or Based on historical channel information and current channel information, predict channel information at a certain time or period in the future.
  • the current beam information or the beam information at a certain time or a certain time period in the future can be predicted based on the historical beam information; or the beam information at a certain time or a certain time period in the future can be predicted based on the current beam information; Or based on historical beam information and based on current beam information, predict beam information at a certain time or period in the future.
  • other beam information can be obtained based on partial beam information.
  • the obtained measurement results can be compressed, and the compressed measurement results can be fed back to the network device.
  • the network equipment then uses intelligent modules to restore the compressed channel information.
  • the measurement results can be information.
  • the intelligent CSI report and its CSI processing criteria are different from the non-intelligent CSI processing criteria of existing protocols.
  • the above-mentioned intelligent processing parameters include at least one of the following: the number of CSI processing units occupied by the intelligent CSI report, the priority of the intelligent CSI report, and the calculation time requirement of the intelligent CSI report.
  • the CSI processing unit occupied by the intelligent CSI report can be called an artificial intelligence-CSI processing unit (AI-CPU).
  • AI-CPU can be used to characterize the computing unit required to obtain intelligent CSI reports. Similar to the CPU in existing protocols, the number of AI-CPUs occupied by CSI reports can represent the computational complexity or computing power of obtaining this CSI report.
  • the number of AI-CPUs is different from the number of CSI processing units (CSI processing units, CPUs) occupied by non-intelligent CSI reports.
  • the number of AI-CPUs is associated with at least one of the following: the subtype of the intelligent CSI report, the number of resources used for channel measurement, the input length of the intelligent module, and the input information of the intelligent module.
  • the intelligent CSI report includes the following types: a first sub-type of intelligent CSI report, a second sub-type of intelligent CSI report, a third sub-type of intelligent CSI report, a fourth sub-type of intelligent CSI report.
  • Intelligent CSI reporting of subtypes include the following types: a first sub-type of intelligent CSI report, a second sub-type of intelligent CSI report, a third sub-type of intelligent CSI report, a fourth sub-type of intelligent CSI report.
  • Intelligent CSI reporting of subtypes is not limit this.
  • the number of AI-CPUs occupied by the above-mentioned first subtype of intelligent CSI report is a first value (for example, X1), or is related to the number of resources used for channel measurement associated with it, or is related to the first
  • the intelligent CSI report of the subtype is related to the input length of the intelligent module associated with it, or is related to the input information of the intelligent module.
  • the intelligent CSI report of the first subtype includes channel information obtained by processing channel information.
  • the number of AI-CPUs occupied by the intelligent CSI report of the second subtype is a second value (for example, X2), or is related to the number of resources used for channel measurement associated with it, or is related to the second value.
  • the intelligent CSI report of the subtype is related to the input length of the intelligent module associated with it, or is related to the input information of the intelligent module.
  • the second subtype of intelligent CSI report includes current channel information predicted based on historical channel information and/or channel information within a future setting segment, or future setting predicted based on current channel information. Channel information within a fixed segment, or predicting future channel information within a set segment based on historical channel information and current channel information.
  • the number of AI-CPUs occupied by the above-mentioned third subtype of intelligent CSI report is a third value (for example, X3), which is either related to the number of resources used for channel measurement associated with it, or is related to
  • the intelligent CSI report of the third subtype is related to the input length of the intelligent module associated with it, or is related to the input information of the intelligent module.
  • the third subtype of intelligent CSI report includes current beam information predicted based on historical beam information and/or future beam information within a set time period, or future equipment predicted based on current beam information. Beam information within a set time period, or predict beam information within a set time period in the future based on historical beam information and current beam information.
  • the number of AI-CPUs occupied by the intelligent CSI report of the fourth subtype is a fourth value (for example, X4), or is related to the number of resources used for channel measurement associated with it, or is related to the fourth value.
  • the intelligent CSI report of the subtype is related to the input length of the intelligent module associated with it, or is related to the input information of the intelligent module.
  • the fourth subtype of intelligent CSI report includes other beam information predicted based on partial beam information.
  • the priority of the intelligent CSI report may have an independent priority mechanism relative to the priority of the non-intelligent CSI report.
  • the priority of the intelligent CSI report is associated with at least one of the following parameters: a.
  • the maximum number of serving cells N cells the maximum number of the intelligent CSI report configuration M s , and the maximum number of the intelligent CSI report configuration M s .
  • Pri iCSI (y,t,c,s) a ⁇ N cells ⁇ M s ⁇ y+N cells ⁇ M s ⁇ t+M s ⁇ c+s...Formula 1
  • the value of a is 2 or 3 or 4 or 1; or
  • the value of y can be 0; for semi-persistent CSI reports scheduled to be carried on PUSCH, the value of y can be 1; for CSI reports scheduled to be carried on PUCCH For semi-persistent CSI reporting, the value of y can be 2; for periodic CSI reports scheduled to be carried on the PUCCH, the value of y can be 3; etc.; or
  • the value of t is 0 or 1 or 2 or 3; or
  • the value of t is 0 or 1 or 2 or 3; or
  • the value of t is 0 or 1 or 2 or 3; or
  • the value of t is 0 or 1 or 2 or 3.
  • the value of t is smaller than the value of t carrying the intelligent CSI report of the first subtype
  • the value of t is smaller than the value of t carrying the intelligent CSI report of the second subtype
  • the value of t is smaller than the value of t carrying the intelligent CSI report of the first subtype
  • the value of t is smaller than the value of t carrying the intelligent CSI report of the second subtype.
  • the value of t that carries the intelligent CSI report of the X subtype can be understood as the value of t corresponding to the intelligent CSI report of the X subtype.
  • the X-th subtype may be a first subtype, a second subtype, a third subtype, a fourth subtype, and so on.
  • the priority of the intelligent CSI report may adopt the priority mechanism of the non-intelligent CSI report or may be slightly modified.
  • the priority of the intelligent CSI report is associated with at least one of the following parameters: a. the maximum number of serving cells N cells , the maximum number of the intelligent CSI report configuration M s , the intelligent CSI report The value y corresponding to the reported scheduling attribute, the value k corresponding to the type of the intelligent CSI report, the serving cell index value c, and the report configuration identifier s.
  • Pri iCSI (l,y,k,c,s) a ⁇ N cells ⁇ M s ⁇ y+N cells ⁇ M s ⁇ k+M s ⁇ c+s...Formula 2
  • a 6 or 8.
  • the priority of the intelligent CSI report is associated with at least one of the following parameters: the maximum number of serving cells N cells , the maximum number of the intelligent CSI report configuration M s , and the intelligent CSI report configuration.
  • Pri iCSI (y,k,c,s) 2 ⁇ N cells ⁇ M s ⁇ y+N cells ⁇ M s ⁇ k+M s ⁇ c+s...Formula 3
  • the value of k is 1 or 2 or 3 or 4;
  • the value of k is 1, 2, 3, 4, or 5.
  • the calculation time requirement of the intelligent CSI report may be different from the calculation time requirement of the non-intelligent CSI report of the existing protocol.
  • the calculation time requirements for intelligent CSI reports of different subtypes/types may be the same or different.
  • the calculation time requirements for intelligent CSI reports can exist as follows:
  • (Z AI ,Z′ AI ) is different from the above (Z(m), Z′(m)). In other words, (Z AI ,Z′ AI ) is different from the above (Z(m), Z′(m)).
  • (Z AI ,Z′ AI ) is the same as (Z(m), Z′(m)) described above.
  • (Z AI , Z′ AI ) may have an associated (corresponding/mapping, etc.) relationship with (Z(m), Z′(m)).
  • ⁇ z 1 , ⁇ z 2 , ⁇ z 3 , ⁇ z 4 , ⁇ z 5 and ⁇ z 6 can be positive or negative values
  • ⁇ z 1 , ⁇ z 2 , ⁇ z 3 , ⁇ z 4 , ⁇ z 5 and ⁇ z 6 can be preconfigured, Required by network configuration or protocol.
  • 3Z AI is the second value
  • Z′ AI is the third value
  • the first value may be preconfigured, network configured, or specified by a protocol.
  • the second value can be understood as a fixed value, which is specified by preconfiguration, network configuration or protocol.
  • the third value can be understood as a fixed value, which is specified by preconfiguration, network configuration or protocol.
  • the terminal device reports an intelligent CSI report.
  • the network device receives the intelligent CSI report.
  • the terminal device After the terminal device obtains the intelligent CSI report, it can report the intelligent CSI report to the network device.
  • the network device obtains the intelligent CSI report.
  • the network device can use the intelligent model, Perform reverse engineering on the intelligent CSI report. For example, the network device receives the intelligent CSI report of the first subtype, and the intelligent CSI report is compressed, and the network device then uses the intelligent module to restore the compressed channel information.
  • the terminal device can obtain an intelligent CSI report based on intelligent processing parameters and/or CSI measurement configuration, and report the intelligent CSI report to the network device, thereby achieving system performance promote.
  • FIG. 4 it is a schematic flow chart of another communication method provided by an embodiment of the present application.
  • the method may include the following steps:
  • the network device sends configuration information and reporting instructions.
  • the terminal device receives the configuration information and reporting instructions.
  • the configuration information includes CSI measurement configuration.
  • the reporting instruction includes the type of CSI report.
  • the types of CSI reports include intelligent CSI reports and non-intelligent CSI reports.
  • step S301 of the above embodiment reference may be made to step S301 of the above embodiment.
  • the difference is that the network device also sends the above reporting instruction.
  • the network device can instruct the terminal device to report an intelligent CSI report or a non-intelligent CSI report as needed. Therefore, the network device also sends reporting instructions.
  • the network device may send the above configuration information and reporting instructions in one message, or may send the above configuration information and reporting instructions in two messages respectively.
  • the terminal device executes the following branch process one or branch process two according to the reported instructions:
  • the type of CSI report included in the reporting indication is an intelligent CSI report, and the terminal device obtains the intelligent CSI report according to the intelligent processing parameters and/or CSI measurement configuration.
  • the terminal device can obtain the CSI report according to the CSI measurement configuration.
  • the terminal device can also perform intelligent processing according to the intelligent processing parameters to obtain the intelligent CSI report. That is, if the network device instructs to report an intelligent CSI report, the terminal device will process it according to the intelligent CSI processing criteria.
  • the intelligent CSI report is based on historical channel information, current channel information, historical channel information and current channel information, historical beam information, current beam information, historical beam information and current beam information, or part of Beam information is predicted or obtained by processing channel information. For the specific implementation process of this step, reference can be made to step S302 in the above embodiment, which will not be described again here.
  • the terminal device reports an intelligent CSI report.
  • the network device receives the intelligent CSI report.
  • step S303 for the specific implementation process of this step, reference can be made to step S303 in the above embodiment, which will not be described again here.
  • the type of CSI report included in the reporting indication is a non-intelligent CSI report, and the terminal device obtains the non-intelligent CSI report according to the CSI measurement configuration.
  • Terminal equipment can obtain channel information without intelligent processing based on CSI measurement configuration. That is, if the network device instructs to report a non-intelligent CSI report, the terminal device will process it according to the non-intelligent CSI processing rules of the existing protocol. Specifically, the terminal device learns the reported content that needs to be measured based on the above CSI measurement configuration, and performs CSI measurement based on the CSI resource configuration associated with the configuration information to obtain the CSI measurement result, that is, channel state information.
  • the terminal device reports a non-intelligent CSI report.
  • the network device receives the non-intelligent CSI report.
  • the terminal device Since the network device instructs the terminal device to report a non-intelligent CSI report, after obtaining the non-intelligent CSI report, the terminal device can report the non-intelligent CSI report without intelligently processing the channel information.
  • the terminal device uses the CPU occupied by the intelligent CSI report (which may be called AI-CPU) to obtain the intelligent CSI report.
  • the terminal device uses the CPU occupied by the non-intelligent CSI report to obtain the non-intelligent CSI report. That is, the CPU used by the terminal device to obtain intelligent CSI reports and non-intelligent CSI reports is independent.
  • the terminal device has N AI -CPU -L unoccupied AI-CPU.
  • N AI-CPU represents the maximum number of AI-CPUs that the terminal device can support for simultaneous intelligent CSI calculation.
  • the terminal device has N CPU -L unoccupied CPU.
  • M 2 (0 ⁇ M 2 ⁇ N) is used established maximum value.
  • the terminal device can obtain an intelligent CSI report based on intelligent processing parameters and/or CSI measurement configuration, and report the intelligent CSI report to the network device, thereby realizing the CSI report of intelligence;
  • the corresponding type of CSI report can be reported according to the type of CSI report required to be reported according to the network device instruction.
  • the methods and/or steps implemented by the terminal device can also be implemented by components (such as chips or circuits) that can be used in the terminal device; the methods and/or steps implemented by the network device, It can also be implemented by components (such as chips or circuits) that can be used in network equipment.
  • embodiments of the present application also provide a communication device, which is used to implement the above various methods.
  • the communication device may be a terminal device in the above method embodiment, or a component that can be used in a terminal device; or, the communication device may be a network device in the above method embodiment, or a component that can be used in a network device.
  • the communication device includes corresponding hardware structures and/or software modules for performing each function.
  • Embodiments of the present application can divide the communication device into functional modules according to the above method embodiments.
  • each functional module can be divided corresponding to each function, or two or more functions can be integrated into one processing module.
  • the above integrated modules can be implemented in the form of hardware or software function modules. It should be noted that the division of modules in the embodiment of the present application is schematic and is only a logical function division. In actual implementation, there may be other division methods.
  • this application also provides the following communication device:
  • the communication device 500 includes: a transceiver unit 51 and a processing unit 52 . in:
  • the transceiver unit 51 is configured to receive configuration information, which includes channel state information CSI measurement configuration; the processing unit 52 is configured to obtain intelligent processing parameters and/or the CSI measurement configuration. CSI report; and the transceiver unit 51 is also used to report the intelligent CSI report; wherein the intelligent CSI report is based on historical channel information, current channel information, historical beam information, current At least one of beam information and partial beam information is predicted, or obtained by processing channel information.
  • the processing unit 52 is further configured to obtain channel information according to the CSI measurement configuration; and the processing unit 52 is further configured to process the channel information according to the intelligent processing parameters to obtain The intelligent CSI report.
  • the transceiver unit 51 is also configured to receive a reporting indication, where the reporting indication includes a type of CSI report, and the type of CSI report includes an intelligent CSI report and a non-intelligent CSI report; the processing Unit 52 is further configured to: the type of CSI report included in the reporting indication is an intelligent CSI report, and obtain the intelligent CSI report according to the intelligent processing parameters and/or the CSI measurement configuration; The processing unit 52 is also configured to obtain the non-intelligent CSI report according to the CSI measurement configuration.
  • the type of the CSI report included in the reporting indication is a non-intelligent CSI report.
  • the communication device can obtain an intelligent CSI report based on intelligent processing parameters and/or CSI measurement configuration, and report the intelligent CSI report to a network device, realizing CSI Intelligent reporting.
  • the communication device 600 includes a transceiver unit 61 and may also include a processing unit 62 (indicated by a dotted line in the figure). in:
  • the transceiver unit 61 is configured to send configuration information, where the configuration information includes CSI measurement configuration; and the transceiver unit 61 is configured to send configuration information.
  • Unit 61 is also configured to receive an intelligent CSI report; wherein the intelligent CSI report is obtained according to intelligent processing parameters and/or the CSI measurement configuration, and the intelligent CSI report is based on history. At least one of channel information, current channel information, historical beam information, current beam information, and partial beam information is predicted or obtained by processing the channel information.
  • the communication device receives an intelligent CSI report reported by a terminal device.
  • the intelligent CSI report is obtained according to intelligent processing parameters and/or CSI measurement configuration, thereby achieving Intelligent CSI reporting.
  • Figure 7 shows a simplified structural diagram of a terminal device.
  • the terminal device is a mobile phone as an example.
  • the terminal equipment includes a processor, a memory, a radio frequency circuit, an antenna, and an input and output device.
  • the processor is mainly used to process communication protocols and communication data, control terminal equipment, execute software programs, process data of software programs, etc.
  • Memory is mainly used to store software programs and data.
  • Radio frequency circuits are mainly used for conversion of baseband signals and radio frequency signals and processing of radio frequency signals.
  • Antennas are mainly used to send and receive radio frequency signals in the form of electromagnetic waves.
  • Input and output devices such as touch screens, display screens, keyboards, etc., are mainly used to receive data input by users and output data to users. It should be noted that some types of terminal equipment may not have input and output devices.
  • the processor When data needs to be sent, the processor performs baseband processing on the data to be sent and then outputs the baseband signal to the radio frequency circuit.
  • the radio frequency circuit performs radio frequency processing on the baseband signal and then sends the radio frequency signal out in the form of electromagnetic waves through the antenna.
  • the radio frequency circuit receives the radio frequency signal through the antenna, converts the radio frequency signal into a baseband signal, and outputs the baseband signal to the processor.
  • the processor converts the baseband signal into data and processes the data.
  • Only one memory and processor are shown in Figure 7. In an actual terminal device product, there may be one or more processors and one or more memories. Memory can also be called storage media or storage devices.
  • the memory may be provided independently of the processor, or may be integrated with the processor, which is not limited in the embodiment of the present application.
  • the antenna and the radio frequency circuit with the transceiver function can be regarded as the receiving unit and the transmitting unit of the terminal device (which can also be collectively referred to as the transceiver unit), and the processor with the processing function can be regarded as the processing unit of the terminal device.
  • the terminal device includes a transceiver unit 71 and a processing unit 72 .
  • the transceiver unit 71 may also be called a receiver/transmitter (transmitter), a receiver/transmitter, a receive/transmit circuit, or the like.
  • the processing unit 72 may also be called a processor, a processing board, a processing module, a processing device, etc.
  • the transceiver unit 71 is used to implement the functions of the transceiver unit 51 in the embodiment shown in Figure 5; the processing unit 72 is used to implement the functions of the processing unit 52 in the embodiment shown in Figure 5.
  • the transceiver unit 71 is configured to perform the functions performed by the terminal device in steps S301 and S303 of the embodiment shown in FIG. 3 ; the processing unit 72 is configured to perform step S302 of the embodiment shown in FIG. 3 .
  • the transceiver unit 71 is used to perform the functions performed by the terminal device in steps S401, S403a or S403b of the embodiment shown in Figure 4; the processing unit 72 is used to perform steps S402a, S402a, or S403b of the embodiment shown in Figure 4. S403a or S402b.
  • the communication device can obtain an intelligent CSI report based on intelligent processing parameters and/or CSI measurement configuration, and report the intelligent CSI report to a network device, realizing CSI Intelligent reporting.
  • FIG 8 shows a simplified structural diagram of a network device.
  • the network equipment includes a radio frequency signal transceiver and conversion part and a part 82.
  • the radio frequency signal transceiver and conversion part also includes a transceiver unit 81 part.
  • the radio frequency signal transceiver and conversion part is mainly used for the transmission and reception of radio frequency signals and the conversion of radio frequency signals and baseband signals; the 82 part is mainly used for baseband processing and control of network equipment.
  • the transceiver unit 81 may also be called a receiver/transmitter (transmitter), a receiver/transmitter, a receive/transmit circuit, or the like.
  • Part 82 is usually the control center of the network device, which can generally be called a processing unit, and is used to control the network device to perform the steps performed by the network device in Figure 3 or Figure 4 above.
  • the transceiver unit 81 can be used to implement the functions of the transceiver unit 61 in the embodiment shown in Figure 6, and part 82 is used to implement the implementation shown in Figure 5. Function of processing unit 52 in the example.
  • Part 82 may include one or more single boards, and each single board may include one or more processors and one or more memories.
  • the processor is used to read and execute programs in the memory to implement baseband processing functions and perform network device processing. control. If there are multiple boards, each board can be interconnected to increase processing capabilities.
  • multiple single boards may share one or more processors, or multiple single boards may share one or more memories, or multiple single boards may share one or more processors at the same time. device.
  • the transceiver unit 81 is configured to perform the functions performed by the network device in steps S301 and S303 of the embodiment shown in FIG. 3 .
  • the transceiver unit 81 is configured to perform the functions performed by the network device in steps S401, S403a or S403b of the embodiment shown in FIG. 4 .
  • the communication device receives an intelligent CSI report reported by a terminal device.
  • the intelligent CSI report is obtained according to intelligent processing parameters and/or CSI measurement configuration, thereby achieving Intelligent CSI reporting.
  • Embodiments of the present application also provide a computer-readable storage medium.
  • Computer programs or instructions are stored in the computer-readable storage medium. When the computer programs or instructions are executed, the methods in the above embodiments are implemented.
  • Embodiments of the present application also provide a computer program product containing instructions. When the instructions are run on a computer, they cause the computer to execute the method in the above embodiments.
  • An embodiment of the present application also provides a communication system, including the above communication device.
  • the above units or one or more of the units can be implemented by software, hardware, or a combination of both.
  • the software exists in the form of computer program instructions and is stored in the memory.
  • the processor can be used to execute the program instructions and implement the above method flow.
  • the processor can be built into a system on chip (SoC) or ASIC, or it can be an independent semiconductor chip.
  • SoC system on chip
  • the processor can further include necessary hardware accelerators, such as field programmable gate array (FPGA), programmable logic device (programmable logic) device, PLD), or a logic circuit that implements dedicated logic operations.
  • FPGA field programmable gate array
  • PLD programmable logic device
  • the hardware can be a CPU, a microprocessor, a digital signal processing (DSP) chip, a microcontroller unit (MCU), an artificial intelligence processor, an ASIC, Any one or any combination of SoC, FPGA, PLD, dedicated digital circuits, hardware accelerators or non-integrated discrete devices, which can run the necessary software or not rely on software to perform the above method flow.
  • DSP digital signal processing
  • MCU microcontroller unit
  • embodiments of the present application also provide a chip system, including: at least one processor and an interface.
  • the at least one processor is coupled to a memory through the interface.
  • the at least one processor runs a computer program or instruction in the memory
  • the chip system is caused to execute the method in any of the above method embodiments.
  • the chip system may be composed of chips, or may include chips and other discrete devices, which is not specifically limited in the embodiments of the present application.
  • A/B can mean A or B; where A and B can be singular numbers. Or plural.
  • plural means two or more than two.
  • At least one of the following” or similar expressions thereof refers to any combination of these items, including any combination of a single item (items) or a plurality of items (items).
  • at least one of a, b, or c can mean: a, b, c, ab, ac, bc, or abc, where a, b, c can be single or multiple .
  • words such as “first” and “second” are used to distinguish identical or similar items with basically the same functions and effects. Those skilled in the art can understand that words such as “first” and “second” do not limit the quantity and execution order, and words such as “first” and “second” This does not necessarily mean they are different.
  • words such as “exemplary” or “for example” are used to represent examples, illustrations or explanations. Any embodiment or design described as “exemplary” or “such as” in the embodiments of the present application is not to be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as “exemplary” or “such as” is intended to present related concepts in a concrete manner that is easier to understand.
  • the above embodiments it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof.
  • a software program it may be implemented in whole or in part in the form of a computer program product.
  • the computer program product includes one or more computer instructions.
  • computer program instructions When computer program instructions are loaded and executed on a computer, the processes or functions described in the embodiments of the present application are generated in whole or in part.
  • the computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device.
  • the computer instructions may be stored in or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transferred from a website, computer, server, or data center Transmission to another website, computer, server or data center through wired (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (such as infrared, wireless, microwave, etc.) means.
  • the computer-readable storage medium can be any available medium that can be accessed by a computer or include one or more data storage devices such as servers and data centers that can be integrated with the medium.
  • the available media may be magnetic media (eg, floppy disk, hard disk, magnetic tape), optical media (eg, DVD), or semiconductor media (eg, solid state disk (SSD)), etc.

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Abstract

一种通信方法及装置、芯片、芯片模组、存储介质。该方法包括：终端设备接收配置信息，所述配置信息包括CSI测量配置；所述终端设备根据智能化处理参数和/或所述CSI测量配置，获得智能化的CSI报告；以及所述终端设备上报所述智能化的CSI报告；其中，所述智能化的CSI报告为基于历史的信道信息、现在的信道信息、历史的波束信息、现在的波束信息、部分波束信息中的至少一项预测得到的，或为对信道信息处理得到的。还公开了相应的装置、芯片、芯片模组、存储介质。采用本申请的方案，终端设备可以根据智能化处理参数和/或CSI测量配置，获得智能化的CSI报告，并向网络设备上报该智能化的CSI报告，实现了CSI报告的智能化。

Description

通信方法及装置、芯片、芯片模组、存储介质
本申请要求于2022年04月26日提交中国专利局、申请号为202210447086.7、申请名称为“通信方法及装置、芯片、芯片模组、存储介质”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及通信领域，尤其涉及一种通信方法及装置、芯片、芯片模组、存储介质。
背景技术
目前业界正在广泛地探讨在获取、上报信道状态信息(channel state information，CSI)过程中引入人工智能技术。
然而，对于如何具体地获取、上报智能化的CSI报告目前并未具体的方案。
发明内容
本申请提供一种通信方法及装置、芯片、芯片模组、存储介质，以实现智能化的CSI报告。
第一方面，提供了一种通信方法，所述方法包括：终端设备接收配置信息，所述配置信息包括信道状态信息CSI测量配置；所述终端设备根据智能化处理参数和/或所述CSI测量配置，获得智能化的CSI报告；以及所述终端设备上报所述智能化的CSI报告；其中，所述智能化的CSI报告为基于历史的信道信息、现在的信道信息、历史的波束信息、现在的波束信息、部分波束信息中的至少一项预测得到的，或为对信道信息处理得到的。
在一种可能的实现中，所述方法还包括：所述终端设备接收上报指示，所述上报指示包括CSI报告的类型，所述CSI报告的类型包括智能化的CSI报告、非智能化的CSI报告；所述上报指示包括的CSI报告的类型为智能化的CSI报告，所述终端设备根据所述智能化处理参数和/或所述CSI测量配置，获得所述智能化的CSI报告；所述上报指示包括的CSI报告的类型为非智能化的CSI报告，所述终端设备根据所述CSI测量配置，获得所述非智能化的CSI报告。
第二方面，提供了一种通信方法，所述方法包括：网络设备发送配置信息，所述配置信息包括CSI测量配置；以及所述网络设备接收智能化的CSI报告；其中，所述智能化的CSI报告是根据智能化处理参数和/或所述CSI测量配置获得的，所述智能化的CSI报告为基于历史的信道信息、现在的信道信息、历史的波束信息现在的波束信息、部分波束信息中的至少一项预测得到的，或为对信道信息处理得到的。
结合第一方面或第二方面，在又一种可能的实现中，所述智能化处理参数包括以下至少一项：所述智能化的CSI报告占用的CSI处理单元AI-CPU的数量、所述智能化的CSI报告的优先级、所述智能化的CSI报告的计算时间要求。
结合第一方面或第二方面，在又一种可能的实现中，所述AI-CPU的数量与非智能化的CSI报告占用的CSI处理单元CPU的数量不同。
结合第一方面或第二方面，在又一种可能的实现中，所述AI-CPU的数量与以下至少一项关联：所述智能化的CSI报告的子类型、用于信道测量的资源的数量、智能化模块的输入长度。
结合第一方面或第二方面，在又一种可能的实现中，第一子类型的智能化的CSI报告占 用的AI-CPU的数量为第一数值，所述第一子类型的智能化的CSI报告包括对信道信息处理得到的信道信息；或
第二子类型的智能化的CSI报告占用的AI-CPU的数量为第二数值，所述第二子类型的智能化的CSI报告包括基于历史的信道信息预测得到的当前的信道信息和/或未来的设定段内的信道信息；或
第三子类型的智能化的CSI报告占用的AI-CPU的数量为第三数值，所述第三子类型的智能化的CSI报告包括基于历史的波束信息预测得到的当前的波束信息和/或未来的设定时间段内的波束信息；或
第四子类型的智能化的CSI报告占用的AI-CPU的数量为第四数值，所述第四子类型的智能化的CSI报告包括基于部分波束信息预测得到的其它波束信息。
结合第一方面或第二方面，在又一种可能的实现中，所述智能化的CSI报告的优先级与以下至少一个参数关联：a、服务小区的最大数量Ncells、所述智能化的CSI报告配置的最大数量Ms、与所述智能化的CSI报告的调度属性对应的取值y、与所述智能化的CSI报告的类型对应的取值t、服务小区索引值c、报告配置标识s。
结合第一方面或第二方面，在又一种可能的实现中，所述a的取值为1～4，所述t的取值为0～3。
结合第一方面或第二方面，在又一种可能的实现中，与第四子类型的智能化的CSI报告对应的t的取值小于与第一子类型的智能化的CSI报告对应的t的取值；和/或
与第四子类型的智能化的CSI报告对应的t的取值小于与第二子类型的智能化的CSI报告对应的t的取值；和/或
与第三子类型的智能化的CSI报告对应的t的取值小于与第一子类型的智能化的CSI报告对应的t的取值；和/或
与第三子类型的智能化的CSI报告对应的t的取值小于与第二子类型的智能化的CSI报告对应的t的取值。
结合第一方面或第二方面，在又一种可能的实现中，所述智能化的CSI报告的优先级与以下至少一个参数关联：a、服务小区的最大数量Ncells、所述智能化的CSI报告配置的最大数量Ms、所述智能化的CSI报告的调度属性对应的取值y、与所述智能化的CSI报告的类型对应的取值k、服务小区索引值c、报告配置标识s。
结合第一方面或第二方面，在又一种可能的实现中，对于非智能化的CSI报告，所述a的取值为2；对于智能化的CSI报告，所述a的取值为6或8。
结合第一方面或第二方面，在又一种可能的实现中，所述智能化的CSI报告的优先级与以下至少一个参数关联：服务小区的最大数量Ncells、所述智能化的CSI报告配置的最大数量Ms、与所述智能化的CSI报告的调度属性对应的取值y、与所述智能化的CSI报告的类型对应的取值k、服务小区索引值c、报告配置标识s。
结合第一方面或第二方面，在又一种可能的实现中，对于第三子类型或第四子类型的智能化的CSI报告，所述k的取值为1～4中的任意一个；和/或对于第一子类型或第二子类型的智能化的CSI报告，所述k的取值为1～5中的任意一个。
第三方面，提供了一种通信装置，可以实现上述第一方面中的通信方法。例如所述通信装置可以是芯片或者终端。可以通过软件、硬件、或者通过硬件执行相应的软件实现上述方法。
在一种可能的实现方式中，所述通信装置包括收发单元和处理单元，其中，所述收发单 元，用于接收配置信息，所述配置信息包括信道状态信息CSI测量配置；所述处理单元，用于根据智能化处理参数和/或所述CSI测量配置，获得智能化的CSI报告；以及所述收发单元，还用于上报所述智能化的CSI报告；其中，所述智能化的CSI报告为基于历史的信道信息、现在的信道信息、历史的波束信息、现在的波束信息、部分波束信息中的至少一项预测得到的，或为对信道信息处理得到的。
可选地，所述收发单元，还用于接收上报指示，所述上报指示包括CSI报告的类型，所述CSI报告的类型包括智能化的CSI报告、非智能化的CSI报告；所述处理单元，还用于所述上报指示包括的CSI报告的类型为智能化的CSI报告，根据所述智能化处理参数和/或所述CSI测量配置，获得所述智能化的CSI报告；所述处理单元，还用于所述上报指示包括的CSI报告的类型为非智能化的CSI报告，根据所述CSI测量配置，获得所述非智能化的CSI报告。
第四方面，提供了一种通信装置，可以实现上述第二方面中的通信方法。例如所述通信装置可以是芯片或者接入网设备。可以通过软件、硬件、或者通过硬件执行相应的软件实现上述方法。
在一种可能的实现方式中，所述通信装置包括处理单元和收发单元，其中，所述收发单元，用于发送配置信息，所述配置信息包括CSI测量配置；以及所述收发单元，还用于接收智能化的CSI报告；其中，所述智能化的CSI报告是根据智能化处理参数和/或所述CSI测量配置获得的，所述智能化的CSI报告为基于历史的信道信息、现在的信道信息、历史的波束信息、现在的波束信息、部分波束信息中的至少一项预测得到的，或为对信道信息处理得到的。
可选地，结合第三方面或第四方面，所述智能化处理参数包括以下至少一项：所述智能化的CSI报告占用的CSI处理单元AI-CPU的数量、所述智能化的CSI报告的优先级、所述智能化的CSI报告的计算时间要求。
可选地，结合第三方面或第四方面，所述AI-CPU的数量与非智能化的CSI报告占用的CSI处理单元CPU的数量不同。
可选地，结合第三方面或第四方面，所述AI-CPU的数量与以下至少一项关联：所述智能化的CSI报告的子类型、用于信道测量的资源的数量、智能化模块的输入长度。
可选地，结合第三方面或第四方面，第一子类型的智能化的CSI报告占用的AI-CPU的数量为第一数值，所述第一子类型的智能化的CSI报告包括对信道信息处理得到的信道信息；或
第二子类型的智能化的CSI报告占用的AI-CPU的数量为第二数值，所述第二子类型的智能化的CSI报告包括基于历史的信道信息预测得到的当前的信道信息和/或未来的设定段内的信道信息；或
第三子类型的智能化的CSI报告占用的AI-CPU的数量为第三数值，所述第三子类型的智能化的CSI报告包括基于历史的波束信息预测得到的当前的波束信息和/或未来的设定时间段内的波束信息；或
第四子类型的智能化的CSI报告占用的AI-CPU的数量为第四数值，所述第四子类型的智能化的CSI报告包括基于部分波束信息预测得到的其它波束信息。
可选地，结合第三方面或第四方面，所述智能化的CSI报告的优先级与以下至少一个参数关联：a、服务小区的最大数量Ncells、所述智能化的CSI报告配置的最大数量Ms、与所述智能化的CSI报告的调度属性对应的取值y、与所述智能化的CSI报告的类型对应的取值t、服务小区索引值c、报告配置标识s。
可选地，结合第三方面或第四方面，所述a的取值为1～4，所述t的取值为0～3。
可选地，结合第三方面或第四方面，与第四子类型的智能化的CSI报告对应的t的取值小于与第一子类型的智能化的CSI报告对应的t的取值；和/或
与第四子类型的智能化的CSI报告对应的t的取值小于与第二子类型的智能化的CSI报告对应的t的取值；和/或
与第三子类型的智能化的CSI报告对应的t的取值小于与第一子类型的智能化的CSI报告对应的t的取值；和/或
与第三子类型的智能化的CSI报告对应的t的取值小于与第二子类型的智能化的CSI报告对应的t的取值。
可选地，结合第三方面或第四方面，所述智能化的CSI报告的优先级与以下至少一个参数关联：a、服务小区的最大数量Ncells、所述智能化的CSI报告配置的最大数量Ms、所述智能化的CSI报告的调度属性对应的取值y、与所述智能化的CSI报告的类型对应的取值k、服务小区索引值c、报告配置标识s。
可选地，结合第三方面或第四方面，对于非智能化的CSI报告，所述a的取值为2；对于智能化的CSI报告，所述a的取值为6或8。
可选地，结合第三方面或第四方面，所述智能化的CSI报告的优先级与以下至少一个参数关联：服务小区的最大数量Ncells、所述智能化的CSI报告配置的最大数量Ms、与所述智能化的CSI报告的调度属性对应的取值y、与所述智能化的CSI报告的类型对应的取值k、服务小区索引值c、报告配置标识s。
可选地，结合第三方面或第四方面，对于第三子类型或第四子类型的智能化的CSI报告，所述k的取值为1～4中的任意一个；和/或对于第一子类型或第二子类型的智能化的CSI报告，所述k的取值为1～5中的任意一个。
结合第三方面或第四方面，在又一种可能的实现方式中，上述第三方面或第四方面中的通信装置包括与存储器耦合的处理器；所述处理器被配置为支持所述装置执行上述通信方法中相应的功能。存储器用于与处理器耦合，其保存所述装置必要的程序(指令)和/或数据。可选的，所述通信装置还可以包括通信接口用于支持所述装置与其他网元之间的通信。可选的，该存储器可以位于该通信装置内部，也可以位于该通信装置外部。
结合第三方面或第四方面，在又一种可能的实现方式中，上述第三方面或第四方面中的通信装置包括处理器和收发装置，所述处理器与所述收发装置耦合，所述处理器用于执行计算机程序或指令，以控制所述收发装置进行信息的接收和发送；当所述处理器执行所述计算机程序或指令时，所述处理器还用于通过逻辑电路或执行代码指令实现上述方法。其中，所述收发装置可以为收发器、收发电路或输入输出接口，用于接收来自所述通信装置之外的其它通信装置的信号并传输至所述处理器或将来自所述处理器的信号发送给所述通信装置之外的其它通信装置。当所述通信装置为芯片时，所述收发装置为收发电路或输入输出接口。
当上述第三方面或第四方面中的通信装置为芯片或芯片模组时，发送单元可以是输出单元，比如输出电路或者通信接口；接收单元可以是输入单元，比如输入电路或者通信接口。当所述通信装置为终端时，发送单元可以是发射器或发射机；接收单元可以是接收器或接收机。
第五方面，提供了一种计算机可读存储介质，所述计算机可读存储介质中存储有计算机程序或指令，当所述计算机程序或指令被执行时，实现上述各方面所述的方法。
第六方面，提供了一种包含指令的计算机程序产品，当该指令在通信装置上运行时，使 得通信装置执行上述各方面所述的方法。
第七方面，提供了一种通信系统，该通信系统包括第三方面的通信装置和第四方面的通信装置。
采用本申请提供的通信方案，具有如下有益效果：
终端设备可以根据智能化处理参数和/或CSI测量配置，获得智能化的CSI报告，并向网络设备上报该智能化的CSI报告，实现了CSI报告的智能化。
附图说明
图1A为本申请实施例提供的一种通信系统的结构示意图；
图1B为本申请实施例提供的另一种通信系统的结构示意图；
图2为本申请实施例提供的又一种通信系统的结构示意图；
图3为本申请实施例提供的一种通信方法的流程示意图；
图4为本申请实施例提供的另一种通信方法的流程示意图；
图5为本申请实施例提供的一种通信装置的结构示意图；
图6为本申请实施例提供的另一种通信装置的结构示意图；
图7为本申请实施例提供的一种简化的终端设备的结构示意图；
图8为本申请实施例提供的一种简化的网络设备的结构示意图。
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描述。
首先，简要介绍一下本申请实施例可能涉及的几个概念：
信道信息
在本申请中，信道信息可用于表征信道特征或特性。例如，信道信息可以是信道矩阵信息和/或CSI和/或信道特征向量。或者，信道信息还可以是CSI报告。又或者，信道信息还可以是信道的时域信息、频域信息、时频域信息或者时延多普勒(delay-doppler)域的信道信息等，对此不作具体限制。下面对信道矩阵信息和CSI进行阐述。
1、信道矩阵信息
在本申请中，信道矩阵信息可用于描述信道矩阵相关的信息。例如，信道矩阵信息可以包括以下一项或多项：信道矩阵H、等效信道矩阵、预编码矩阵W(预编码矩阵W可以由信道矩阵H推导出来)、信道矩阵H的右奇异向量V、方阵HTH的特征向量vi、信道矩阵H关联的向量(例如信道矩阵H在某种处理下的向量等)等。
(1)信道矩阵H、等效信道矩阵、预编码矩阵W
在多输入多输出(multiple input multiple output，MIMO)系统中，对于发射机有a根天线，接收机有b根天线，MIMO信道的信道模型可以表示为：
r＝Hs+n0；
其中，r为经过MIMO信道后的接接收信号向量；s为发射端的发送信号向量；H为针对MIMO信道的b×a阶的信道矩阵；n0为加性噪声向量。需要说明的是，对于a＝1，b＝1而言，即发射机和接收机均有1根天线，也可以采用H来表示1×1的信道矩阵。
在预编码方式中，发射机可以根据信道矩阵H，采用预编码方式对发送信号向量s的空间特性进行优化，使得发送信号向量s的空间分布特性与信道矩阵H相匹配，从而可以有效降低对接收机算法的依赖程度，简化接收机算法。通过预编码，可以有效提升系统性能。
预编码可以采用线性或非线性方法。由于复杂度等方面的原因，因此在目前的无线通信 系统中一般只考虑线性预编码。经过预编码之后，MIMO信号的信道模型可以表示为：
r＝HWs+n0；
其中，W为预编码矩阵。
对于多用户MIMO(multiple user，MU-MIMO)系统，接收机无法对发给其他设备的信号进行信道估计，因此发射机预编码能有效抑制多用户干扰。可见，发射机知道信道矩阵并采用合适的预编码对其进行处理是对系统有益的。
另外，在预编码方式中，预编码矩阵W和信道矩阵H共同决定了等效信道矩阵(例如H·W)，而等效信道矩阵决定了信道特性/特征等。另外，在一些情况下，预编码矩阵W可以由信道矩阵H推导出来，比如预编码矩阵W可以是信道矩阵H某个变换下的矩阵。
(2)信道矩阵H的右奇异向量V、方阵HTH的特征向量vi
信道矩阵H的奇异值分解可以为：H＝U∑VT；
其中，U＝[u1,u2,...,ub]为b×b阶的正交矩阵(orthogonal matrix)或者酋矩阵(unitary matrix)；V＝[v1,v2,...,va]为a×a阶的正交矩阵或酋矩阵，V中的列向量可以称为信道矩阵H的奇异向量(right-singular vectors)；∑为a×a阶的对角阵，对角线上的元素是信道矩阵H的p＝min(b,a)个奇异值σ1,σ2,...,σp，并按递减的顺序排列，即σ1>σ2>...>σp。
将信道矩阵的共轭转置HT乘以信道矩阵H，得到a×a阶的方阵HTH，对方阵HTH进行特征分解，得到特征值和特征向量表示为：
(HTH)vi＝λivi,i∈[1,a]；
其中，λi表示方阵HTH的特征值；vi表示方阵HTH的特征向量。
由H＝U∑VT可得(HTH)vi＝V∑2VT，因此，方阵HTH的特征向量也表示上述V中的列向量。也就是说，方阵HTH的所有特征向量能够组成上述V，且方阵HTH的特征向量可以为信道矩阵H的右奇异向量。
2、CSI
在本申请中，CSI可用于描述信道质量相关的信息。例如，CSI描述无线信号在发射机和接收机之间的传播过程，包含距离、散射、衰落等对信号的影响。对下行传输而言，CSI可用于终端设备向网络设备反馈下行信道质量，以便网络设备根据CSI进行波束管理、移动性管理等处理。终端设备向网络设备发送的CSI可携带在CSI报告中。例如，CSI也可以包括下述至少一项：CSI参考信号资源指示索引(CSI-RS resource indicator，CRI)、秩指示索引(rank indicator，RI)、信道质量指示索引(channel quality indicator，CQI)、预编码矩阵指示索引(precoding matrix indicator，PMI)、层指示索引(layer indicator，LI)、L1-RSRP、L1-SINR。
在本申请中，终端设备通过下行参考信号进行信道测量以获取信道信息。测量也可以描述为评估、检测或估计等。其中，下行参考信号可以包括但不限于CSI-RS、同步信号和物理广播信道块(Synchronization Signal Block，SSB)或物理广播信道解调参考信号(PBCH DMRS)等。例如，终端设备可以根据CSI-RS进行下行信道测量以获取信道矩阵信息，从而可以根据信道矩阵信息获取CSI。
CSI报告包括以下两种类型：智能化的CSI报告和非智能化的CSI报告。其中，智能化的CSI报告是指经过终端设备的智能化模块处理后得到的CSI报告，例如经过终端设备压缩、预测得到的CSI报告；非智能化的CSI报告是指未经终端设备的智能化模块处理后得到的CSI报告，例如可以是根据下文中描述的在获取、上报CSI报告需要考虑的CSI报告的优先级、CSI报告占用的CSI处理单元和CSI报告的CSI计算时间要求等获得的CSI报告。其中，智 能化模块是具有预测、和/或压缩等功能的模块。
其中，智能化的CSI报告又可以包括以下一种或几种子类型(仅为示例，本申请对此不作限制)：
第一子类型：智能化地CSI反馈。其基本原理，是终端设备基于信道状态信息-参考信号(channel state information-reference signal，CSI-RS)进行信道估计，获得下行信道信息；引入智能化模块，对下行信道信息进行压缩，将压缩后的信道信息反馈至网络侧；网络侧再利用智能化模型，对压缩后的信道信息进行恢复。通过这种方式，既可有效地降低终端反馈开销，同时与现有CSI反馈机制相比，网络侧又可以获取高精度的信道信息。
第二子类型：智能化CSI预测。其基本原理是，基于之前的信道信息，预测当前的信道信息或者未来某一时间或者某一时间段的信道信息；或者基于当前的信道信息，预测未来某一时间或者某一时间段的信道信息；或者基于之前的信道信息和当前的信道信息，预测未来某一时间或者某一时间段的信道信息。
第三子类型：智能化时域波束预测。其基本原理是，基于之前的波束信息，预测当前的波束信息或者未来某一时间或者某一时间段的波束信息；或者基于当前的波束信息，预测未来某一时间或者某一时间段的波束信息；或者基于之前的波束信息和基于当前的波束信息，预测未来某一时间或者某一时间段的波束信息。可以理解的是，波束可以用参考信号表征，如CSI-RS和/或SSB。波束信息，可以理解为参考信号索引和/或相应的L1-RSRP或者L1-SINR取值。
第四子类型：智能化空域波束预测。其基本原理是，基于部分波束信息，获得其它波束信息和/或部分波束信息。可以理解的是，波束可以用参考信号表征，如CSI-RS和/或SSB。波束信息，可以理解为参考信号索引和/或相应的L1-RSRP或者L1-SINR取值。
当然，也可以不将智能化的CSI报告分为一种或多种子类型，而是可以将上述每种子类型的智能化报告单独地称为XX智能化报告。例如，第一子类型的智能化报告称为智能化反馈CSI报告；第二子类型的智能化报告称为智能化预测CSI报告，等等。本申请对智能化报告的命名不作限制。
其中，已知的信道信息与未知的信道信息，是相对是否已经确定的信道信息而言。已经确定的信道信息即已知的信道信息，还未确定的信道信息即未知的信道信息。例如，已知的信道信息可以理解为之前的信道信息或历史的信道信息，未知的信道信息可以理解为现在的信道信息和/或未来的信道信息。再例如，已知的信道信息可以理解为之前的信道信息和/或现在的信道信息，未知的信道信息可以理解为未来的信道信息。需要说明的是，在本申请中，现在的信道信息也可以描述为当前的信道信息，目前的信道信息，或当下的信道信息等。
在一些实施例中，之前的信道信息、现在的信道信息、未来的信道信息可以是相对指示信息关联的测量资源(例如CSI-RS资源和/或信道状态信息-干扰测量(channel state information-interference measurement，CSI-IM)资源等)的接收时刻而言。该指示信息是网络侧发送给终端设备的，可指示关联的测量资源。该接收时刻是指终端设备接收到该指示信息的时刻。可选的，指示信息关联的测量资源的接收时刻可以早于或等于指示信息的接收时刻，例如在指示信息关联的测量资源的接收时刻之前确定的信道信息即为之前的信道信息；根据指示信息关联的测量资源确定的信道信息即为现在的信道信息；在指示信息关联的测量资源的接收时刻之后的某段时间(可以包括或不包括指示信息关联的测量资源的接收时刻)的信道信息即为未来的信道信息。可选的，指示信息关联的测量资源的接收时刻可以晚于指示信息的接收时刻，例如在指示信息关联的测量资源的接收时刻之前确定的信道信息即为之前的 信道信息；根据指示信息关联的测量资源确定的(例如测量得到的或预测的)信道信息即为现在的信道信息；在指示信息关联的测量资源的接收时刻之后的某段时间(可以包括或不包括指示信息关联的测量资源的接收时刻)的信道信息即为未来的信道信息。其中，指示信息关联的测量资源可配置在配置信息中，例如，该配置信息可以是CSI-MeasConfig，也可以是CSI测量配置信息(即CSI-ReportConfig)，也可以是CSI资源配置信息(即CSI-ResourceConfig)。其中，测量资源的接收时刻，可以理解为测量资源的接收时间，或接收测量资源的时间单元，或接收测量资源的基本时间单元等。
在另一些实施例中，之前的信道信息、现在的信道信息、未来的信道信息可以是相对指示信息关联的测量资源所在的时刻而言。测量资源所在的时刻，可以理解为测量资源所在的时间或所在的时间单元或所在的基本时间单元等，也可以理解为测量资源占用的时域资源，例如可以是测量资源占用的时间单元，或测量资源占用的基本时间单元等。测量资源所在的时刻以测量资源占用的时间单元为例，指示信息关联的测量资源占用的时间单元可以早于或等于或晚于指示信息的接收时刻所在的时间单元。例如，在指示信息关联的测量资源占用的时间单元之前确定的信道信息即为之前的信道信息；根据指示信息关联的测量资源确定的信道信息即为现在的信道信息；在指示信息关联的测量资源占用的时间单元之后的某段时间的信道信息即为未来的信道信息。举例来说，以时间单元为时隙为例，假设指示信息的接收时刻所在的时间单元为时隙3(即时隙的索引号为3)，指示信息关联的测量资源占用的时隙为时隙4，那么在时隙3及其之前确定的信道信息即为之前的信道信息，根据指示信息关联的测量资源确定的信道信息即为现在的信道信息，在时隙5至时隙7这段时间内的信道信息即为未来的信道信息。
其中，在获取、上报CSI报告时，需考虑以下参数：
1.CSI报告的优先级(priority)：
一个CSI报告会关联一个优先级取值PriCSI(y,k,c,s)：
PricSI(y,k,c,s)＝2·Ncells·Ms·y+Ncells·Ms·k+Ms·c+s；其中，
-对于被调度承载在物理上行共享信道(physical uplink shared channel，PUSCH)上的
非周期CSI报告，y的取值可以为0；对于被调度承载在PUSCH上的半持续CSI报告，
y的取值可以为1；对于被调度承载在物理上行控制信道(physical uplink control channel，
PUCCH)上的半持续CSI报告，y的取值可以为2；对于被调度承载在PUCCH上的周期
CSI报告，y的取值可以为3；等等。
-k的取值可以由CSI-ReportConfig中的信息(如reportQuantity)所指示的CSI报告所包含的信息类型确定。
例如，对于包含(携带/承载)层1-参考信号接收信号(layer1-reference signal receiving power，L1-RSRP)或者层1-信号与干扰加噪声比(layer1-signal to interference plus noise ratio，L1-SINR)的CSI报告，k的取值可以为0；对于未包含(携带/承载)L1-RSRP或者L1-SINR的CSI报告，k的取值可以为1；等等。
-c的取值可以为服务小区索引值(serving cell index)。
-s的取值可以为CSI-ReportConfig中reportConfigID的取值。
-Ncells的取值可以为高层参数maxNrofServingCells的取值。
-Ms的取值可以为高层参数maxNrofCSI-ReportConfigurations的取值。
需要说明的是，5G标准中规定的服务小区最大数量的名称为maxNrofServingCells、CSI报告的配置索引的名称为reportConfigID、CSI报告的配置的最大数量的名称为 maxNrofCSIReportConfigurations，但其他标准中规定相同含义的名称也同样适用于本申请，即本申请并不限制这些参数的名称。
由于一个CSI报告会关联一个优先级取值，若一个CSI报告关联的优先级取值PriCSI(y,k,c,s)小于另一个CSI报告关联的优先级取值PriCSI(y,k,c,s)，则该CSI报告的优先级高于该另一个CSI报告的优先级。
如果两个CSI报告在同一载波上传输，并且在时域上有至少一个OFDM符号(symbol)相互重叠，则该两个CSI报告在传输时存在冲突(collide)。
当终端设备被配置为传输存在冲突的两个CSI报告时，
-如果该两个CSI报告之间的y的取值不同，并且除了其中一个y的取值为2而另一个y的取值为3的情况之外，以下规则适用：
◆终端设备不传输优先级取值PriCSI(y,k,c,s)更高的CSI报告；
-否则，该两个CSI报告可以复用，或者基于优先级取值被丢弃。
需要说明的是，上述“1.CSI报告的优先级”中的相关内容/概念/定义/解释等可以详见标准协议38.214中的对应章节(5.2.5 Priority rules for CSI reports)，对此不作具体限制。另外，“CSI报告的优先级”中的相关内容/概念/定义/解释等也可能会随着标准协议38.214的修改/变动而适配的修改。在本领域技术人员结合“CSI报告的优先级”中的相关内容/概念/定义/解释等也能推导/获取修改后的内容。因此，修改后的内容也在本申请所要求保护的范围内，对此不再赘述。
2.CSI报告占用的(occupied)CSI处理单元(CSI processing unit，CPU)：
①含义
在一个分量载波(component carrier，CC)中，终端设备可以通过高层参数simultaneousCSI-ReportsPerCC指示自身支持的同时CSI计算(simultaneous CSI calculation)的数量，NCPU；在所有分量载波中，终端设备可以通过高层参数simultaneousCSI-ReportsAllCC指示自身支持的同时CSI计算的数量，NCPU。
若终端设备支持同时CSI计算，则称终端设备具有用于处理CSI报告的NCPU个CPU。
需要说明的是，CSI报告占用的CPU，可以表征终端设备处理CSI的能力。NCPU，可以理解为，终端设备支持的CPU的最大数量或总数量。另外，NCPU可以由终端设备通过高层参数(如simultaneousCSI-ReportsPerCC和/或simultaneousCSI-ReportsAllCC)上报给网络设备。
若在一个给定OFDM符号中CSI的计算已占用了L个CPU，则终端设备具有NCPU-L个未占用的CPU。
在NCPU-L个未占用的CPU中，如果N个CSI报告在同一OFDM符号上依次占用它们各自的CPU，且第n(n＝0,…,N-1)个CSI报告所占用的CPU的数量为则终端设备不需要更新(update)N-M1个具有低优先级的CSI报告，M1(0≤M1≤M)是使成立的最大值。
例如，网络设备给终端设备配置了3个CSI报告，分别为CSI报告0、CSI报告1和CSI报告2。其中，在该3个CSI报告各自对应的优先级中，CSI报告0的优先级高于CSI报告1的优先级，CSI报告1的优先级高于CSI报告2的优先级。在终端设备具有10个未占用的CPU的情况下，若CSI报告0占用5个CPU(即)，CSI报告1占用3个CPU(即)，CSI报告2占用5个CPU(即)，则由于5+3+5>10，因此终端设备不需要更新CSI报告2。
②一个CSI报告所占用的CPU的数量
一个CSI报告所占用的CPU的数量OCPU，可以存在如下：
◆如果CSI-ReportConfig中的高层参数reportQuantity设置为‘none’，且CSI-RS-ResourceSet中配置了高层参数trs-Info，则OCPU＝0。也就是说，CSI报告所占用的CPU的数量为0。
◆如果CSI-ReportConfig中的高层参数reportQuantity设置为'cri-RSRP'、'ssb-Index-RSRP'、'cri-SINR'、'ssb-Index-SINR'或者'none'(此时CSI-RS-ResourceSet未配置高层参数trs-Info)，则OCPU＝1。也就是说，CSI报告所占用的CPU的数量为1。
◆如果CSI-ReportConfig中的高层参数reportQuantity设置为'cri-RI-PMI-CQI'、'cri-RI-i1'、'cri-RI-i1-CQI'、'cri-RI-CQI'或者'cri-RI-LI-PMI-CQI'，则：
-如果max(μPDCCH,μCSI-RS,μUL)＜3，一个CSI报告被非周期触发，L＝0个CPU被占用，终端设备不发送带有传输块(或HARQ-ACK或两者)的PUSCH，且该CSI对应于具有宽带频率粒度的单个CSI，以及对应于单个资源中的最多4个CSI-RS端口，其中codebookType设置为'typeI-SinglePanel”或reportQuantity设置为'cri-RI-CQI'，则OCPU＝NCPU。也就是说，CSI报告所占用的CPU的数量为终端设备上报的CPU的总数量。其中，μPDCCH对应传输DCI的PDCCH的子载波间隔，μUL对应承载CSI的PUSCH的子载波间隔，μCSI-RS对应DCI触发的非周期CSI-RS的子载波间隔。
-如果一个CSI报告对应的CSI-ReportConfig中codebookType设置为'typeI-SinglePanel”，且相应的用于信道测量的CSI-RS资源集被配置了2个资源组，其中包含N个资源对，M个用于单站点传输假设下的资源，则OCPU＝2N+M。也就是说，CSI报告所占用的CPU的数量为2N+M。
-否则，OcPU＝Ks，Ks是NZP-CSI-RS-ResourceSet中用于信道测量的NZP-CSI-RS资源(也可以称为信道测量资源)的数量。也就是说，CSI报告所占用的CPU的数量为该CSI报告所关联的信道测量资源的数量。
③CPU所占用的OFDM符号的数量
·对于CSI-ReportConfig中的高层参数reportQuantity未设置为‘none’的CSI报告，该CSI报告占用的CPU所占用的OFDM符号的数量，可以存在如下：
-周期CSI报告或半持续CSI报告(不包括由PDCCH触发报告之后在PUSCH上的第一次(initial)半持续CSI报告)占用的CPU所占用的OFDM符号为：
从用于信道测量或干扰测量的CSI-RS/CSI-IM/SSB资源中最早的一个的第一个符号开始，且各自最近(latest)的CSI-RS/CSI-IM/SSB时机不晚于相应的CSI参考资源，直到上报资源的最后一个符号，其中，该上报资源为用于承载该周期CSI报告或半持续CSI报告的PUSCH/PUCCH。
-非周期CSI报告占用的CPU所占用的OFDM符号为：
从触发该非周期CSI报告的PDCCH之后的第一个符号开始，直到上报资源的最后一个符号，其中，该上报资源为用于承载该非周期CSI报告的PUSCH。
-由PDCCH触发报告之后在PUSCH上的第一次半持续CSI报告占用的CPU所占用的OFDM符号为：
从该PDCCH之后的第一个符号开始，直到上报资源的最后一个符号，其中，该上报资源为用于承载该第一次半持续CSI报告的PUSCH。
·对于CSI-ReportConfig中的高层参数reportQuantity设置为‘none’以及 CSI-RS-ResourceSet未配置高层参数trs-Info的CSI报告，该CSI报告占用的CPU所占用的OFDM符号的数量，可以存在如下：
-半持续CSI报告(不包括由PDCCH触发报告之后在PUSCH上的第一次(initial)半持续CSI报告)占用的CPU所占用的OFDM符号为：
从用于L1-RSRP计算的信道测量的周期或半持续CSI-RS/SSB资源的每个传输时机(transmission occasion)中的最早(earliest)一个的第一个符号开始，直到每个传输时机中用于L1-RSRP计算的信道测量的CSI-RS/SSB资源中的最近(latest)一个的的最后一个符号之后的Z′3个符号。
-非周期CSI报告占用的CPU所占用的OFDM符号为：
从触发该CSI报告的PDCCH之后的第一个符号到触发该CSI报告的PDCCH之后的第一个符号之后的Z3个符号和测量资源之后的Z′3个符号之间的最后一个符号；其中，该测量资源为用于L1-RSRP计算的信道测量的CSI-RS/同步信号块(sychronization signal block，SSB)资源中的最近(latest)一个。
需要说明的是，上述“2.CSI报告占用的CPU”中的相关内容/概念/定义/解释等可以详见标准协议38.214中的对应章节(5.2.1.6 CSI processing criteria)，对此不作具体限制。另外，“CSI报告占用的CPU”中的相关内容/概念/定义/解释等也可能会随着标准协议38.214的修改/变动而适配的修改。在本领域技术人员结合“CSI报告占用的CPU”中的相关内容/概念/定义/解释等也能推导/获取修改后的内容。因此，修改后的内容也在本申请所要求保护的范围内，对此不再赘述。
3.CSI报告的CSI计算时间要求(CSI computation time requirement)：
◆当DCI上的CSI请求字段触发PUSCH上的CSI报告时，若用于携带CSI报告(包括时间提前的影响)的第一个上行符号的开始时间不早于符号Zref，以及用于携带第n个CSI报告(包括时间提前的影响)的第一个上行符号的开始时间不早于符号Z'ref(n)，则对于第n个被触发的报告，终端设备可以提供有效的CSI报告。
其中，Zref定义为下一个上行符号，该下一个上行符号的循环前缀(cyclic prefix，CP)在触发该CSI报告的PDCCH的最后一个符号结束后的T＝(Z)(2048+144)·κ2-μ·TC+Tswitch开始。
其中，Z'ref(n)定义为下一个上行符号，该下一个上行符号的CP在测量资源的最后一个符号结束后的T′＝(Z′)(2048+144)·κ2-μ·TC开始，该测量资源为用于信道测量的非周期CSI-RS资源(当非周期CSI-RS用于第n个被触发的CSI报告的信道测量时)、用于干扰测量的非周期CSI-IM、用于干扰测量的非周期NZP CSI-RS中最近(latest)一个。
◆当DCI上的CSI请求字段触发PUSCH上的CSI报告，若用于携带CSI报告(包括时间提前影响)的第一个上行符号的开始时间早于符号Zref，则：
-若在该PUSCH上没有复用HARQ-ACK或传输块，则终端设备可以忽略该DCI。也就是说，终端设备可以不上报该DCI所触发的CSI报告。
◆当DCI上的CSI请求字段触发PUSCH上的CSI报告时，若用于携带第n个CSI报告(包括时间提前影响)的第一个上行符号的开始时间早于符号Z'ref(n)，则：
-若触发的CSI报告的数量为1，且在PUSCH上没有复用HARQ-ACK或传输块，则终端设备可以忽略该DCI。
-否则，终端设备不需要为第n个被触发的CSI报告更新CSI。
◆Z和Z′的定义
在本申请实施例中，CSI报告的CSI计算时间要求，可以根据(Z,Z′)确定。其中，Z＝maxm＝0,…,M-1(Z(m))，Z′＝maxm＝0,…,M-1(Z′(m))，M为更新的CSI报告的数量。
(Z(m),Z′(m))对应第m个更新的CSI报告，具体可以定义如下：
-如果max(μPDCCH,μCSI-RS,μUL)＜3，一个CSI报告被非周期触发，L＝0个CPU被占用，终端设备不发送带有传输块(或HARQ-ACK或两者)的PUSCH，且该CSI对应于具有宽带频率粒度的单个CSI，以及对应于单个资源中的最多4个CSI-RS端口，其中codebookType设置为'typeI-SinglePanel”或reportQuantity设置为'cri-RI-CQI'，则(Z(m),Z′(m))可以定义为表1的(Z1,Z′1)。或者，
表1 CSI计算时间要求1
其中，μ为子载波间隔配置，并对应min(μPDCCH,μCSI-RS,μUL)。其中，μPDCCH对应传输DCI的PDCCH的子载波间隔，μUL对应承载CSI的PUSCH的子载波间隔，μCSI-RS对应DCI触发的非周期CSI-RS的子载波间隔。
-如果要传输的CSI对应于宽带频率粒度，以及对应于单个资源中的最多4个CSI-RS端口，其中codebookType设置为'typeI-SinglePanel'或reportQuantity设置为'cri-RI-CQI'，则(Z(m),Z′(m))可以定义为表2的(Z1,Z′1)。或者，
表2 CSI计算时间要求2
其中，μ为子载波间隔配置，并对应min(μPDCCH,μCSI-RS,μUL)。
-如果传输的CSI对应于宽带频率粒度，其中reportQuantity设置为'ssb-Index-SINR'或者'cri-SINR'，则(Z(m),Z′(m))可以定义为表2的(Z1,Z′1)。或者，
-如果reportQuantity设置为'cri-RSRP'或者'ssb-Index-RSRP'，则(Z(m),Z′(m))可以定义为表2的(Z3,Z′3)。其中，Xμ是根据终端设备报告的波束报告时间(beamReportTiming)能力确定的，KBl是根据终端设备报告的波束切换时间(beamSwitchTiming)能力确定的。或者，
-否则，(Z(m),Z′(m))可以定义为表2的(Z2,Z′2)。
需要说明的是，上述“3.CSI报告的CSI计算时间要求”中的相关内容/概念/定义/解释等可以详见标准协议38.214中的对应章节(5.4 UE CSI computation time)，对此不作具体限制。另外，“CSI报告的CSI计算时间要求”中的相关内容/概念/定义/解释等也可能会随着标准协议 38.214的修改/变动而适配的修改。在本领域技术人员结合“CSI报告的CSI计算时间要求”中的相关内容/概念/定义/解释等也能推导/获取修改后的内容。因此，修改后的内容也在本申请所要求保护的范围内，对此不再赘述。
然而，目前对于如何具体地获取、上报智能化的CSI报告目前并未具体的方案。
本申请提供了一种通信方案，终端设备可以根据智能化处理参数和/或CSI测量配置，获得智能化的CSI报告，并向网络设备上报该智能化的CSI报告，实现了CSI报告的智能化。
图1A给出了本申请涉及的一种通信系统的示意图。该通信系统可以包括一个或多个网络设备(图中仅示出1个)以及与网络设备连接的一个或多个终端设备。一个网络设备可以向一个或多个终端设备传输数据或控制信令。如图1B所示的另一种通信系统，多个网络设备也可以同时为一个终端设备传输数据或控制信令。
网络设备可以是任意一种具有无线收发功能的设备，包括但不限于：基站(NodeB)、演进型基站(eNodeB)、5G通信系统中的基站、未来通信系统中的基站或网络设备、WiFi系统中的接入节点、无线中继节点、无线回传节点等。网络设备还可以是云无线接入网络(cloud radio access network，CRAN)场景下的无线控制器。网络设备还可以是小站，传输节点(transmission reference point，TRP)等。本申请的实施例对网络设备所采用的具体技术和具体设备形态不做限定。
终端设备是一种具有无线收发功能的设备，可以部署在陆地上(包括室内或室外)，可以手持、穿戴或车载；也可以部署在水面上，如轮船上等；还可以部署在空中，如飞机、气球和卫星上等。终端设备可以是手机(mobile phone)、平板电脑(pad)、带无线收发功能的电脑、可穿戴设备、无人机、直升机、飞机、轮船、机器人、机械臂、智能家居设备、虚拟现实(virtual reality，VR)终端设备、增强现实(augmented reality，AR)终端设备、工业控制(industrial control)中的无线终端设备、无人驾驶(self-driving)中的无线终端设备、整车、车辆中的功能模块、远程医疗(remote medical)中的无线终端设备、智能电网(smart grid)中的无线终端设备、运输安全(transportation safety)中的无线终端设备、智慧城市(smart city)中的无线终端设备(例如，路灯等)、智慧家庭(smart home)中的无线终端设备等等。本申请的实施例对应用场景不做限定。终端设备有时也可以称为用户设备(user equipment，UE)、接入终端设备、UE单元、移动站、移动台、远方站、远程终端设备、移动设备、终端设备(terminal)、无线通信设备、UE代理或UE装置等。本申请的实施例对终端设备所采用的具体技术和具体设备形态不做限定。
可选的，在本申请实施例中，终端设备或网络设备包括硬件层、运行在硬件层之上的操作系统层，以及运行在操作系统层上的应用层。该硬件层包括中央处理器(central processing unit，CPU)、内存管理单元(memory management unit，MMU)和内存(也称为主存)等硬件。该操作系统可以是任意一种或多种通过进程(process)实现业务处理的计算机操作系统，例如，Linux操作系统、Unix操作系统、Android操作系统、iOS操作系统或windows操作系统等。该应用层包含浏览器、通讯录、文字处理软件、即时通信软件等应用。并且，本申请实施例并未对本申请实施例提供的方法的执行主体的具体结构特别限定，能够通过运行记录有本申请实施例的提供的方法的代码的程序，以根据本申请实施例提供的方法进行通信即可，例如，本申请实施例提供的方法的执行主体可以是终端设备或网络设备，或者，是终端设备或网络设备中能够调用程序并执行程序的功能模块。
换言之，本申请实施例中的终端设备或者网络设备的相关功能可以由一个设备实现，也可以由多个设备共同实现，还可以是由一个设备内的一个或多个功能模块实现，本申请实施 例对此不作具体限定。可以理解的是，上述功能既可以是硬件设备中的网络元件，也可以是在专用硬件上运行的软件功能，或者是硬件与软件的结合，或者是平台(例如，云平台)上实例化的虚拟化功能。
图1A和图1B所示的通信系统中网络设备和终端设备之间的通信还可以用另一种形式来表示，如图2所示，终端设备10包括处理器101、存储器102和收发器103，收发器103包括发射机1031、接收机1032和天线1033。网络设备20包括处理器201、存储器202和收发器203，收发器203包括发射机2031、接收机2032和天线2033。接收机1032可以用于通过天线1033接收传输控制信息，发射机1031可以用于通过天线1033向网络设备20发送传输反馈信息。发射机2031可以用于通过天线2033向终端设备10发送传输控制信息，接收机2032可以用于通过天线2033接收终端设备10发送的传输反馈信息。
其中，处理器101/处理器201可以是一个CPU，微处理器，特定应用集成电路(application-specific integrated circuit，ASIC)，或一个或多个用于控制本申请方案程序执行的集成电路。
存储器102/存储器202可以是具有存储功能的装置。例如可以是只读存储器(read-only memory，ROM)或可存储静态信息和指令的其他类型的静态存储设备，随机存取存储器(random access memory，RAM)或者可存储信息和指令的其他类型的动态存储设备，也可以是电可擦可编程只读存储器(electrically erasable programmable read-only memory，EEPROM)、只读光盘(compact disc read-only memory，CD-ROM)或其他光盘存储、光碟存储(包括压缩光碟、激光碟、光碟、数字通用光碟、蓝光光碟等)、磁盘存储介质或者其他磁存储设备、或者能够用于携带或存储具有指令或数据结构形式的期望的程序代码并能够由计算机存取的任何其他介质，但不限于此。存储器可以是独立存在，通过通信线路与处理器相连接。存储器也可以和处理器集成在一起。
其中，存储器102/存储器202用于存储执行本申请方案的计算机执行指令，并由处理器101/处理器201来控制执行。处理器101/处理器201用于执行存储器102/存储器202中存储的计算机执行指令，从而实现本申请实施例中提供的通信方法。
或者，本申请实施例中，也可以是处理器101/处理器201执行本申请下述实施例提供的通信方法中的处理相关的功能。
本申请实施例中的计算机执行指令也可以称之为应用程序代码，本申请实施例对此不作具体限定。
需要说明的是，本申请实施例中的术语“系统”和“网络”可被互换使用。“多个”是指两个或两个以上，鉴于此，本申请实施例中也可以将“多个”理解为“至少两个”。“和/或”，描述关联对象的关联关系，表示可以存在三种关系，例如，A和/或B，可以表示：单独存在A，同时存在A和B，单独存在B这三种情况。另外，字符“/”，如无特殊说明，一般表示前后关联对象是一种“或”的关系。
下面对本申请实施例提供的通信方法进行具体阐述。
如图3所示，为本申请实施例提供的一种通信方法的流程示意图。示例性地，该方法可以包括以下步骤：
S301.网络设备发送配置信息。
相应地，终端设备接收该配置信息。
网络设备需要获取终端设备的CSI测量报告(简称“CSI报告”)，可以向终端设备发送配置信息，用于指示终端设备上报CSI。例如，网络设备在进行事件的判断或执行某种类型的 算法等活动时，需要获取终端设备的CSI报告，则可以发起针对终端设备CSI报告的查询，向终端设备发送配置信息。
其中，配置信息包括CSI测量配置(CSI-MeasConfig)。该CSI测量配置包括用于指示终端设备执行CSI测量行为的信息。具体地，该CSI测量配置指示或包括需要测量的上报内容和CSI资源配置(CSI-ResourceConfig)等。
其中，CSI报告配置(CSI-ReportConfig)可以包括在CSI测量配置中，也可以单独配置。
可选地，CSI报告配置未包括在CSI测量配置中，该配置信息还可以包括CSI报告配置(CSI-ReportConfig)。该CSI报告配置包括用于指示终端设备执行CSI测量行为的信息。具体地，该CSI报告配置指示或包括需要测量的上报内容和CSI资源配置(CSI-ResourceConfig)等。
下文描述中，以CSI报告配置包括在CSI测量配置中为例进行描述。
S302.终端设备根据智能化处理参数和/或CSI测量配置，获得智能化的CSI报告。
终端设备基于上述CSI测量配置获知需要测量的上报内容，并基于该配置信息所关联的CSI资源配置进行CSI测量。
在测量CSI和/或CSI报告获取过程中，还可能根据智能化处理参数对测量结果进行智能化处理，获得智能化的CSI报告。该智能化的CSI报告为基于历史的信道信息、现在的信道信息、历史的信道信息和现在的信道信息、现在的波束信息、历史的波束信息和现在的波束信息、历史的波束信息或部分波束信息预测得到的，或为对信道信息处理得到的。
例如，可以基于历史的信道信息，预测当前的信道信息或者未来某一时间或者某一时间段的信道信息；或者基于当前的信道信息，预测未来某一时间或者某一时间段的信道信息；或者基于历史的信道信息和当前的信道信息，预测未来某一时间或者某一时间段的信道信息。
又例如，可以基于历史的波束信息，预测当前的波束信息或者未来某一时间或者某一时间段的波束信息；或者基于当前的波束信息，预测未来某一时间或者某一时间段的波束信息；或者基于历史的波束信息和基于当前的波束信息，预测未来某一时间或者某一时间段的波束信息。
又例如，可以基于部分波束信息，获得其它波束信息。
又例如，可以对获得的测量结果进行压缩，将压缩后的测量结果反馈至网络设备。网络设备再利用智能化模块，对压缩后的信道信息进行恢复。其中，测量结果可以是信息。
智能化的CSI报告，其CSI处理准则，是不同于现有协议的非智能化的CSI处理准则。
其中，上述智能化处理参数包括以下至少一项：智能化的CSI报告占用的CSI处理单元的数量、智能化的CSI报告的优先级、智能化的CSI报告的计算时间要求。
有关智能化处理参数与非智能化的CSI报告的处理参数相同的内容可以参考上文中的描述。下面分别对上述智能化处理参数与非智能化的CSI报告的处理参数的区别进行描述：
(1)智能化的CSI报告占用的CSI处理单元的数量
其中，智能化的CSI报告占用的CSI处理单元可以称为人工智能-信道状态信息处理单元(artificial intelligence-CSI processing unit，AI-CPU)，当然也可以是其它名称，本申请不作限定。AI-CPU可以用来表征获取智能化的CSI报告所需求的计算单元。类似现有协议中的CPU，CSI报告占用的AI-CPU数量可以表征获取此CSI报告的计算复杂度或者计算能力。
示例性地，AI-CPU的数量与非智能化的CSI报告占用的CSI处理单元(CSI processing unit，CPU)的数量不同。其中，AI-CPU的数量与以下至少一项关联：智能化的CSI报告的子类型、用于信道测量的资源的数量、智能化模块的输入长度、智能化模块的输入信息。
示例性地，智能化的CSI报告包括以下几种类型：第一子类型的智能化的CSI报告、第二子类型的智能化的CSI报告、第三子类型的智能化的CSI报告、第四子类型的智能化的CSI报告。然而本申请对此不作限制。
示例性地，上述第一子类型的智能化的CSI报告占用的AI-CPU的数量为第一数值(例如，X1)，或者与其关联的用于信道测量的资源的数量有关，或者与第一子类型的智能化的CSI报告关联的智能化模块的输入长度有关，或者与智能化模块的输入信息有关。其中，第一子类型的智能化的CSI报告包括对信道信息处理得到的信道信息。
示例性地，上述第二子类型的智能化的CSI报告占用的AI-CPU的数量为第二数值(例如，X2)，或者与其关联的用于信道测量的资源的数量有关，或者与第二子类型的智能化的CSI报告关联的智能化模块的输入长度有关，或者与智能化模块的输入信息有关。其中，第二子类型的智能化的CSI报告包括基于历史的信道信息预测得到的当前的信道信息和/或未来的设定段内的信道信息，或基于当前的信道信息预测得到的未来的设定段内的信道信息，或基于历史的信道信息和当前的信道信息预测得到未来的设定段内的信道信息。
示例性地，上述第三子类型的智能化的CSI报告占用的AI-CPU的数量为第三数值(例如，X3)，其中，或者与其关联的用于信道测量的资源的数量有关，或者与第三子类型的智能化的CSI报告关联的智能化模块的输入长度有关，或者与智能化模块的输入信息有关。其中，第三子类型的智能化的CSI报告包括基于历史的波束信息预测得到的当前的波束信息和/或未来的设定时间段内的波束信息，或基于当前的波束信息预测得到未来的设定时间段内的波束信息，或基于历史的波束信息和当前的波束信息预测得到未来的设定时间段内的波束信息。
示例性地，上述第四子类型的智能化的CSI报告占用的AI-CPU的数量为第四数值(例如，X4)，或者与其关联的用于信道测量的资源的数量有关，或者与第四子类型的智能化的CSI报告关联的智能化模块的输入长度有关，或者与智能化模块的输入信息有关。其中，第四子类型的智能化的CSI报告包括基于部分波束信息预测得到的其它波束信息。
(2)智能化的CSI报告的优先级
在一个示例中，相对非智能化的CSI报告的优先级，智能化的CSI报告的优先级可以有独立的优先级机制。其中，智能化的CSI报告的优先级与以下至少一个参数关联：a、服务小区的最大数量Ncells、所述智能化的CSI报告配置的最大数量Ms、与所述智能化的CSI报告的调度属性对应的取值y、与所述智能化的CSI报告的类型对应的取值t、服务小区索引值c、报告配置标识s。
具体地，智能化的CSI报告的优先级可以适用于下述公式1:
PriiCSI(y,t,c,s)＝a·Ncells·Ms·y+Ncells·Ms·t+Ms·c+s   ……公式1
本实施例给出一些上述参数的取值，但仅为示例，本申请对此并不限制：其中，
示例性地，a的取值为2或者3或者4或者1；或
对于被调度承载在PUSCH上的非周期CSI报告，y的取值可以为0；对于被调度承载在PUSCH上的半持续CSI报告，y的取值可以为1；对于被调度承载在PUCCH上的半持续CSI报告，y的取值可以为2；对于被调度承载在PUCCH上的周期CSI报告，y的取值可以为3；等等；或
示例性地，对于承载第四子类型的智能化的CSI报告，t的取值为0或者1或者2或者3；或
示例性地，对于承载第三子类型的智能化的CSI报告，t的取值为0或者1或者2或者3； 或
示例性地，对于承载第二子类型的智能化的CSI报告，t的取值为0或者1或者2或者3；或
示例性地，对于承载第一子类型的智能化的CSI报告，t的取值为0或者1或者2或者3。
进一步地，示例性地，对于承载第四子类型的智能化的CSI报告，其t的取值小于承载第一子类型的智能化的CSI报告的t的取值；或
示例性地，对于承载第四子类型的智能化的CSI报告，其t的取值小于承载第二子类型的智能化的CSI报告的t的取值；或
示例性地，对于承载第三子类型的智能化的CSI报告，其t的取值小于承载第一子类型的智能化的CSI报告的t的取值；或
可选地，示例性地，对于承载第三子类型的智能化的CSI报告，其t的取值小于承载第二子类型的智能化的CSI报告的t的取值。
其中，承载第X子类型的智能化的CSI报告的t的取值，可以理解为与第X子类型的智能化的CSI报告对应的t的取值。其中，第X子类型可以是第一子类型、第二子类型、第三子类型、第四子类型，等等。
在另一个示例中，智能化的CSI报告的优先级可以采用非智能化的CSI报告的优先级机制或稍作变形。
一种方式为，智能化的CSI报告的优先级与以下至少一个参数关联：a、服务小区的最大数量Ncells、所述智能化的CSI报告配置的最大数量Ms、所述智能化的CSI报告的调度属性对应的取值y、与所述智能化的CSI报告的类型对应的取值k、服务小区索引值c、报告配置标识s。
具体地，智能化的CSI报告的优先级可以适用于下述公式2:
PriiCSI(l,y,k,c,s)＝a·Ncells·Ms·y+Ncells·Ms·k+Ms·c+s……公式2
其中，当CSI报告承载的是非智能化的CSI报告，a＝2；
当CSI报告承载的是智能化的CSI报告，a＝6或者8。
另一种方式为，智能化的CSI报告的优先级与以下至少一个参数关联：服务小区的最大数量Ncells、所述智能化的CSI报告配置的最大数量Ms、与所述智能化的CSI报告的调度属性对应的取值y、与所述智能化的CSI报告的类型对应的取值k、服务小区索引值c、报告配置标识s。
具体地，智能化的CSI报告的优先级可以适用于下述公式3:
PriiCSI(y,k,c,s)＝2·Ncells·Ms·y+Ncells·Ms·k+Ms·c+s……公式3
其中，示例性地，对于第三子类型或第四子类型的智能化的CSI报告，所述k的取值为1或者2或者3或者4；
示例性地，对于第一子类型或第二子类型的智能化的CSI报告，所述k的取值为1或者2或者3，或者4，或者5。
(3)智能化的CSI报告的计算时间要求
智能化的CSI报告的计算时间要求，可以不同于现有协议的非智能化的CSI报告的计算时间要求。不同子类型/类型的智能化CSI报告的计算时间要求可以相同也可以不同。
结合上述“3.CSI报告的CSI计算时间要求”中的内容，智能化的CSI报告的计算时间要求(ZAI,Z′AI)，可以存在如下：
①(ZAI,Z′AI)≠(Z(m),Z′(m))
也就是说，(ZAI,Z′AI)不同于上述(Z(m),Z′(m))。或者说，(ZAI,Z′AI)与上述(Z(m),Z′(m))不相同。
例如，(ZAI,Z′AI)≠(Z1,Z′1)，或者(ZAI,Z′AI)≠(Z2,Z′2)，或者(ZAI,Z′AI)≠(Z3,Z′3)。
②(ZAI,Z′AI)＝(Z(m),Z′(m))
也就是说，(ZAI,Z′AI)与上述(Z(m),Z′(m))相同。
例如，(ZAI,Z′AI)＝(Z1,Z′1)，或者(ZAI,Z′AI)＝(Z2,Z′2)，或者(ZAI,Z′AI)＝(Z3,Z′3)。
③(ZAI,Z′AI)由(Z(m),Z′(m))确定
也就是说，(ZAI,Z′AI)可以与(Z(m),Z′(m))具有关联(对应/映射等)关系。
例如，(ZAI,Z′AI)＝(Z1+Δz1,Z′1+Δz2)，或者(ZAI,Z′AI)＝(Z2+Δz3,Z′2+Δz4)，或者(ZAI,Z′AI)＝(Z3+Δz5,Z′3+Δz6)。其中，Δz1、Δz2、Δz3、Δz4、Δz5和Δz6可以为正值或负值，且Δz1、Δz2、Δz3、Δz4、Δz5和Δz6可以是预配置、网络配置或协议规定的。
③ZAI为第二值，且Z′AI为第三值
其中，第一值可以是预配置、网络配置或者协议规定的。
需要说明的是，第二值，可以理解为某一固定的值，该值是预配置、网络配置或者协议规定的。第三值，可以理解为某一固定的值，该值是预配置、网络配置或者协议规定的。
当然，第二值和第三值也可以采用其他术语描述，对此不作具体限制。
S303.终端设备上报智能化的CSI报告。
相应地，网络设备接收该智能化的CSI报告。
终端设备获得智能化的CSI报告后，可以向网络设备上报该智能化的CSI报告。网络设备获取该智能化的CSI报告。
进一步地，示例性地，由于该智能化的CSI报告是根据智能化处理参数和/或所述CSI测量配置获得的，因此，网络设备接收该智能化的CSI报告后，可以利用智能化模型，对该智能化的CSI报告进行逆向处理。例如，网络设备接收到第一子类型的智能化的CSI报告，该智能化的CSI报告是经过压缩的，网络设备再利用智能化模块，对压缩后的信道信息进行恢复。
根据本申请实施例提供的一种通信方法，终端设备可以根据智能化处理参数和/或CSI测量配置，获得智能化的CSI报告，并向网络设备上报该智能化的CSI报告，实现了系统性能提升。
如图4所示，为本申请实施例提供的另一种通信方法的流程示意图。示例性地，该方法可以包括以下步骤：
S401.网络设备发送配置信息和上报指示。
相应地，终端设备接收该配置信息和上报指示。
其中，配置信息包括CSI测量配置。
其中，上报指示包括CSI报告的类型。该CSI报告的类型包括智能化的CSI报告、非智能化的CSI报告。
该步骤的具体实现可参考上述实施例的步骤S301，所不同的是，网络设备还发送上述上报指示。网络设备可以根据需要，指示终端设备上报智能化的CSI报告或非智能化的CSI报告。因此，网络设备还发送上报指示。示例性地，网络设备可以在一个消息中发送上述配置信息和上报指示，也可以在两条消息中分别发送上述配置信息和上报指示。
终端设备根据上报指示，执行下述分支流程一或分支流程二：
分支流程一：
S402a.上报指示包括的CSI报告的类型为智能化的CSI报告，终端设备根据智能化处理参数和/或CSI测量配置，获得智能化的CSI报告。
终端设备可以根据CSI测量配置，获得CSI报告。
并且在根据CSI测量配置获得CSI报告的过程中，终端设备还可以根据智能化处理参数进行智能化处理，获得智能化的CSI报告。即网络设备指示上报智能化的CSI报告，则终端设备按照智能化的CSI处理准则进行处理。该智能化的CSI报告为基于历史的信道信息、现在的信道信息、历史的信道信息和现在的信道信息、历史的波束信息、现在的波束信息、历史的波束信息和现在的波束信息、或部分波束信息预测得到的，或为对信道信息处理得到的。该步骤的具体的实现过程可参考上述实施例中的步骤S302，在此不再赘述。
S403a.终端设备上报智能化的CSI报告。
相应地，网络设备接收该智能化的CSI报告。
该步骤的具体的实现过程可参考上述实施例中的步骤S303，在此不再赘述。
分支流程二：
S402b.上报指示包括的CSI报告的类型为非智能化的CSI报告，终端设备根据CSI测量配置，获得非智能化的CSI报告。
终端设备可以根据CSI测量配置，获得未经智能化处理的信道信息。即网络设备指示上报非智能化的CSI报告，则终端设备按照现有协议的非智能化的CSI处理准则进行处理。具体地，终端设备基于上述CSI测量配置获知需要测量的上报内容，并基于该配置信息所关联的CSI资源配置进行CSI测量，得到CSI测量结果，即信道状态信息。
S403b.终端设备上报非智能化的CSI报告。
相应地，网络设备接收该非智能化的CSI报告。
由于网络设备指示终端设备上报非智能化的CSI报告，因此，终端设备在获得非智能化的CSI报告后，可上报该非智能化的CSI报告，而无需对信道信息进行智能化处理。
示例性地，在上述分支流程一中，终端设备利用智能化的CSI报告占用的CPU(可以称为AI-CPU)获得智能化的CSI报告。在上述分支流程二中，终端设备利用非智能化的CSI报告占用的CPU获得非智能化的CSI报告。即终端设备获得智能化的CSI报告和非智能化的CSI报告所利用的CPU是独立的。
一种可能的实施方式中，针对智能化的CSI报告占用的AI-CPU，若在一个给定OFDM符号中智能化的CSI报告的计算已占用了L个AI-CPU，则终端设备具有NAI-CPU-L个未占用的AI-CPU。在NAI-CPU-L个未占用的AI-CPU中，如果N个智能化的CSI报告在同一OFDM符号上依次占用它们各自的AI-CPU，且第n(n＝0,…,N-1)个智能化的CSI报告所占用的AI-CPU的数量为则终端设备不需要更新(update)N-M1个具有低优先级的智能化的CSI报告，M1(0≤M1≤N)是使成立的最大值。其中，NAI-CPU代表终端设备所能支持的同时智能化CSI计算的最大的AI-CPU的数目。
一种可能的实施方式中，针对非智能化的CSI报告占用的CPU，若在一个给定OFDM符号中非智能化的CSI报告的计算已占用了L个CPU，则终端设备具有NCPU-L个未占用的CPU。在NCPU-L个未占用的CPU中，如果N个非智能化的CSI报告在同一OFDM符号上依次占用它们各自的CPU，且第n(n＝0,…,N-1)个非智能化的CSI报告所占用的CPU的数量为则终端设备不需要更新(update)N-M2个具有低优先级的非智能化的CSI报告，M2(0≤M2≤N)是使成立的最大值。
根据本申请实施例提供的一种通信方法，终端设备可以根据智能化处理参数和/或CSI测量配置，获得智能化的CSI报告，并向网络设备上报该智能化的CSI报告，实现了CSI报告的智能化；
且可以根据网络设备指示要求上报的CSI报告的类型，上报相应类型的CSI报告。
可以理解的是，以上各个实施例中，由终端设备实现的方法和/或步骤，也可以由可用于终端设备的部件(例如芯片或者电路)实现；由网络设备实现的方法和/或步骤，也可以由可用于网络设备的部件(例如芯片或者电路)实现。
上述主要从各个网元之间交互的角度对本申请实施例提供的方案进行了介绍。相应地，本申请实施例还提供了通信装置，该通信装置用于实现上述各种方法。该通信装置可以为上述方法实施例中的终端设备，或者为可用于终端设备的部件；或者，该通信装置可以为上述方法实施例中的网络设备，或者为可用于网络设备的部件。可以理解的是，该通信装置为了实现上述功能，其包含了执行各个功能相应的硬件结构和/或软件模块。本领域技术人员应该很容易意识到，结合本文中所公开的实施例描述的各示例的单元及算法步骤，本申请能够以硬件或硬件和计算机软件的结合形式来实现。某个功能究竟以硬件还是计算机软件驱动硬件的方式来执行，取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能，但是这种实现不应认为超出本申请的范围。
本申请实施例可以根据上述方法实施例中对通信装置进行功能模块的划分，例如，可以对应各个功能划分各个功能模块，也可以将两个或两个以上的功能集成在一个处理模块中。上述集成的模块既可以采用硬件的形式实现，也可以采用软件功能模块的形式实现。需要说明的是，本申请实施例中对模块的划分是示意性的，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式。
基于上述通信方法的同一构思，本申请还提供了如下通信装置：
如图5所示，为本申请实施例提供的一种通信装置的结构示意图，该通信装置500包括：收发单元51和处理单元52。其中：
所述收发单元51，用于接收配置信息，所述配置信息包括信道状态信息CSI测量配置；所述处理单元52，用于根据智能化处理参数和/或所述CSI测量配置，获得智能化的CSI报告；以及所述收发单元51，还用于上报所述智能化的CSI报告；其中，所述智能化的CSI报告为基于历史的信道信息、现在的信道信息、历史的波束信息、现在的波束信息、部分波束信息中的至少一项预测得到的，或为对信道信息处理得到的。
可选地，所述处理单元52，还用于根据所述CSI测量配置，获得信道信息；以及所述处理单元52，还用于根据所述智能化处理参数对所述信道信息进行处理，得到所述智能化的CSI报告。
可选地，所述收发单元51，还用于接收上报指示，所述上报指示包括CSI报告的类型，所述CSI报告的类型包括智能化的CSI报告、非智能化的CSI报告；所述处理单元52，还用于所述上报指示包括的CSI报告的类型为智能化的CSI报告，根据所述智能化处理参数和/或所述CSI测量配置，获得所述智能化的CSI报告；所述处理单元52，还用于所述上报指示包括的CSI报告的类型为非智能化的CSI报告，根据所述CSI测量配置，获得所述非智能化的CSI报告。
根据本申请实施例提供的一种通信装置，该通信装置可以根据智能化处理参数和/或CSI测量配置，获得智能化的CSI报告，并向网络设备上报该智能化的CSI报告，实现了CSI报告的智能化。
如图6所示，为本申请实施例提供的一种通信装置的结构示意图，该通信装置600包括：收发单元61，还可以包括处理单元62(图中以虚线表示)。其中：
所述收发单元61，用于发送配置信息，所述配置信息包括CSI测量配置；以及所述收发 单元61，还用于接收智能化的CSI报告；其中，所述智能化的CSI报告是根据智能化处理参数和/或所述CSI测量配置获得的，所述智能化的CSI报告为基于历史的信道信息、现在的信道信息、历史的波束信息、现在的波束信息、部分波束信息中的至少一项预测得到的，或为对信道信息处理得到的。
根据本申请实施例提供的一种通信装置，该通信装置接收终端设备上报的智能化的CSI报告，该智能化的CSI报告是根据智能化处理参数和/或CSI测量配置获得的，从而实现了CSI报告的智能化。
图7示出了一种简化的终端设备的结构示意图。便于理解和图示方便，图7中，终端设备以手机作为例子。如图7所示，终端设备包括处理器、存储器、射频电路、天线以及输入输出装置。处理器主要用于对通信协议以及通信数据进行处理，以及对终端设备进行控制，执行软件程序，处理软件程序的数据等。存储器主要用于存储软件程序和数据。射频电路主要用于基带信号与射频信号的转换以及对射频信号的处理。天线主要用于收发电磁波形式的射频信号。输入输出装置，例如触摸屏、显示屏，键盘等主要用于接收用户输入的数据以及对用户输出数据。需要说明的是，有些种类的终端设备可以不具有输入输出装置。
当需要发送数据时，处理器对待发送的数据进行基带处理后，输出基带信号至射频电路，射频电路将基带信号进行射频处理后将射频信号通过天线以电磁波的形式向外发送。当有数据发送到终端设备时，射频电路通过天线接收到射频信号，将射频信号转换为基带信号，并将基带信号输出至处理器，处理器将基带信号转换为数据并对该数据进行处理。为便于说明，图7中仅示出了一个存储器和处理器。在实际的终端设备产品中，可以存在一个或多个处理器和一个或多个存储器。存储器也可以称为存储介质或者存储设备等。存储器可以是独立于处理器设置，也可以是与处理器集成在一起，本申请实施例对此不做限制。
在本申请实施例中，可以将具有收发功能的天线和射频电路视为终端设备的接收单元和发送单元(也可以统称为收发单元)，将具有处理功能的处理器视为终端设备的处理单元。如图7所示，终端设备包括收发单元71和处理单元72。收发单元71也可以称为接收/发送(发射)器、接收/发送机、接收/发送电路等。处理单元72也可以称为处理器，处理单板，处理模块、处理装置等。该收发单元71用于实现图5所示实施例中收发单元51的功能；该处理单元72用于实现图5所示实施例中处理单元52的功能。
例如，在一个实施例中，收发单元71用于执行图3所示实施例的步骤S301、S303中终端设备所执行的功能；处理单元72用于执行图3所示实施例的步骤S302。
在又一个实施例中，收发单元71用于执行图4所示实施例的步骤S401、S403a或S403b中终端设备所执行的功能；处理单元72用于执行图4所示实施例的步骤S402a、S403a或S402b。
根据本申请实施例提供的一种通信装置，该通信装置可以根据智能化处理参数和/或CSI测量配置，获得智能化的CSI报告，并向网络设备上报该智能化的CSI报告，实现了CSI报告的智能化。
图8示出了一种简化的网络设备的结构示意图。网络设备包括射频信号收发及转换部分以及82部分，该射频信号收发及转换部分又包括收发单元81部分。射频信号收发及转换部分主要用于射频信号的收发以及射频信号与基带信号的转换；82部分主要用于基带处理，对网络设备进行控制等。收发单元81也可以称为接收/发送(发射)器、接收/发送机、接收/发送电路等。82部分通常是网络设备的控制中心，通常可以称为处理单元，用于控制网络设备执行上述图3或图4中关于网络设备所执行的步骤。具体可参见上述相关部分的描述。收发单元81可用于实现图6所示实施例中收发单元61的功能，82部分用于实现图5所示实施 例中处理单元52的功能。
82部分可以包括一个或多个单板，每个单板可以包括一个或多个处理器和一个或多个存储器，处理器用于读取和执行存储器中的程序以实现基带处理功能以及对网络设备的控制。若存在多个单板，各个单板之间可以互联以增加处理能力。作为一种可选的实施方式，也可以是多个单板共用一个或多个处理器，或者是多个单板共用一个或多个存储器，或者是多个单板同时共用一个或多个处理器。
例如，在一个实施例中，收发单元81用于执行图3所示实施例的步骤S301、S303中网络设备所执行的功能。
在又一个实施例中，收发单元81用于执行图4所示实施例的步骤S401、S403a或S403b中网络设备所执行的功能。
根据本申请实施例提供的一种通信装置，该通信装置接收终端设备上报的智能化的CSI报告，该智能化的CSI报告是根据智能化处理参数和/或CSI测量配置获得的，从而实现了CSI报告的智能化。
本申请实施例还提供了一种计算机可读存储介质，该计算机可读存储介质中存储有计算机程序或指令，当计算机程序或指令被执行时，实现上述实施例中的方法。
本申请实施例还提供了一种包含指令的计算机程序产品，当该指令在计算机上运行时，使得计算机执行上述实施例中的方法。
本申请实施例还提供了一种通信系统，包括上述的通信装置。
需要说明的是，以上单元或单元的一个或多个可以软件、硬件或二者结合来实现。当以上任一单元或单元以软件实现的时候，所述软件以计算机程序指令的方式存在，并被存储在存储器中，处理器可以用于执行所述程序指令并实现以上方法流程。该处理器可以内置于片上系统(system on chip，SoC)或ASIC，也可是一个独立的半导体芯片。该处理器内处理用于执行软件指令以进行运算或处理的核外，还可进一步包括必要的硬件加速器，如现场可编程门阵列(field programmable gate array，FPGA)、可编程逻辑器件(programmable logic device，PLD)、或者实现专用逻辑运算的逻辑电路。
当以上单元或单元以硬件实现的时候，该硬件可以是CPU、微处理器、数字信号处理(digital signal processing，DSP)芯片、微控制单元(microcontroller unit，MCU)、人工智能处理器、ASIC、SoC、FPGA、PLD、专用数字电路、硬件加速器或非集成的分立器件中的任一个或任一组合，其可以运行必要的软件或不依赖于软件以执行以上方法流程。
可选的，本申请实施例还提供了一种芯片系统，包括：至少一个处理器和接口，该至少一个处理器通过接口与存储器耦合，当该至少一个处理器运行存储器中的计算机程序或指令时，使得该芯片系统执行上述任一方法实施例中的方法。可选的，该芯片系统可以由芯片构成，也可以包含芯片和其他分立器件，本申请实施例对此不作具体限定。
应理解，在本申请的描述中，除非另有说明，“/”表示前后关联的对象是一种“或”的关系，例如，A/B可以表示A或B；其中A，B可以是单数或者复数。并且，在本申请的描述中，除非另有说明，“多个”是指两个或多于两个。“以下至少一项(个)”或其类似表达，是指的这些项中的任意组合，包括单项(个)或复数项(个)的任意组合。例如，a，b，或c中的至少一项(个)，可以表示：a，b，c，a-b，a-c，b-c，或a-b-c，其中a，b，c可以是单个，也可以是多个。另外，为了便于清楚描述本申请实施例的技术方案，在本申请的实施例中，采用了“第一”、“第二”等字样对功能和作用基本相同的相同项或相似项进行区分。本领域技术人员可以理解“第一”、“第二”等字样并不对数量和执行次序进行限定，并且“第一”、“第二”等字 样也并不限定一定不同。同时，在本申请实施例中，“示例性的”或者“例如”等词用于表示作例子、例证或说明。本申请实施例中被描述为“示例性的”或者“例如”的任何实施例或设计方案不应被解释为比其它实施例或设计方案更优选或更具优势。确切而言，使用“示例性的”或者“例如”等词旨在以具体方式呈现相关概念，便于理解。
在上述实施例中，可以全部或部分地通过软件、硬件、固件或者其任意组合来实现。当使用软件程序实现时，可以全部或部分地以计算机程序产品的形式来实现。该计算机程序产品包括一个或多个计算机指令。在计算机上加载和执行计算机程序指令时，全部或部分地产生按照本申请实施例所述的流程或功能。所述计算机可以是通用计算机、专用计算机、计算机网络、或者其他可编程装置。所述计算机指令可以存储在计算机可读存储介质中，或者从一个计算机可读存储介质向另一个计算机可读存储介质传输，例如，所述计算机指令可以从一个网站站点、计算机、服务器或者数据中心通过有线(例如同轴电缆、光纤、数字用户线(digital subscriber line，DSL))或无线(例如红外、无线、微波等)方式向另一个网站站点、计算机、服务器或数据中心进行传输。所述计算机可读存储介质可以是计算机能够存取的任何可用介质或者是包含一个或多个可以用介质集成的服务器、数据中心等数据存储设备。所述可用介质可以是磁性介质(例如，软盘、硬盘、磁带)，光介质(例如，DVD)、或者半导体介质(例如固态硬盘(solid state disk，SSD))等。
尽管在此结合各实施例对本申请进行了描述，然而，在实施所要求保护的本申请过程中，本领域技术人员通过查看所述附图、公开内容、以及所附权利要求书，可理解并实现所述公开实施例的其他变化。在权利要求中，“包括”(comprising)一词不排除其他组成部分或步骤，“一”或“一个”不排除多个的情况。单个处理器或其他单元可以实现权利要求中列举的若干项功能。相互不同的从属权利要求中记载了某些措施，但这并不表示这些措施不能组合起来产生良好的效果。

Claims (20)

  1. 一种通信方法，其特征在于，所述方法包括：
    终端设备接收配置信息，所述配置信息包括信道状态信息CSI测量配置；
    所述终端设备根据智能化处理参数和/或所述CSI测量配置，获得智能化的CSI报告；
    所述终端设备上报所述智能化的CSI报告；
    其中，所述智能化的CSI报告为基于历史的信道信息、现在的信道信息、历史的波束信息、现在的波束信息、部分波束信息中的至少一项预测得到的，或为对信道信息处理得到的。
  2. 根据权利要求1所述的方法，其特征在于，所述方法还包括：
    所述终端设备接收上报指示，所述上报指示包括CSI报告的类型，所述CSI报告的类型包括智能化的CSI报告、非智能化的CSI报告；
    所述上报指示包括的CSI报告的类型为智能化的CSI报告，所述终端设备根据所述智能化处理参数和/或所述CSI测量配置，获得所述智能化的CSI报告；
    所述上报指示包括的CSI报告的类型为非智能化的CSI报告，所述终端设备根据所述CSI测量配置，获得所述非智能化的CSI报告。
  3. 一种通信方法，其特征在于，所述方法包括：
    网络设备发送配置信息，所述配置信息包括CSI测量配置；
    所述网络设备接收智能化的CSI报告；
    其中，所述智能化的CSI报告是根据智能化处理参数和/或所述CSI测量配置获得的，所述智能化的CSI报告为基于历史的信道信息、现在的信道信息、历史的波束信息、现在的波束信息、部分波束信息中的至少一项预测得到的，或为对信道信息处理得到的。
  4. 根据权利要求1-3中任一项所述的方法，其特征在于，所述智能化处理参数包括以下至少一项：所述智能化的CSI报告占用的CSI处理单元AI-CPU的数量、所述智能化的CSI报告的优先级、所述智能化的CSI报告的计算时间要求。
  5. 根据权利要求4所述的方法，其特征在于，所述AI-CPU的数量与非智能化的CSI报告占用的CSI处理单元CPU的数量不同。
  6. 根据权利要求4或5所述的方法，其特征在于，所述AI-CPU的数量与以下至少一项关联：所述智能化的CSI报告的子类型、用于信道测量的资源的数量、智能化模块的输入长度。
  7. 根据权利要求4-6中任一项所述的方法，其特征在于，第一子类型的智能化的CSI报告占用的AI-CPU的数量为第一数值，所述第一子类型的智能化的CSI报告包括对信道信息处理得到的信道信息；或
    第二子类型的智能化的CSI报告占用的AI-CPU的数量为第二数值，所述第二子类型的智能化的CSI报告包括基于历史的信道信息预测得到的当前的信道信息和/或未来的设定段内的信道信息；或
    第三子类型的智能化的CSI报告占用的AI-CPU的数量为第三数值，所述第三子类型的智能化的CSI报告包括基于历史的波束信息预测得到的当前的波束信息和/或未来的设定时间段内的波束信息；或
    第四子类型的智能化的CSI报告占用的AI-CPU的数量为第四数值，所述第四子类型的智能化的CSI报告包括基于部分波束信息预测得到的其它波束信息。
  8. 根据权利要求4-7中任一项所述的方法，其特征在于，所述智能化的CSI报告的优先级与以下至少一个参数关联：a、服务小区的最大数量Ncells、所述智能化的CSI报告配置的最大数量Ms、与所述智能化的CSI报告的调度属性对应的取值y、与所述智能化的CSI报告的类型对应的取值t、服务小区索引值c、报告配置标识s。
  9. 根据权利要求8所述的方法，其特征在于，所述a的取值为1～4，所述t的取值为0～3。
  10. 根据权利要求8或9所述的方法，其特征在于，与第四子类型的智能化的CSI报告对应的t的取值小于与第一子类型的智能化的CSI报告对应的t的取值；和/或
    与第四子类型的智能化的CSI报告对应的t的取值小于与第二子类型的智能化的CSI报告对应的t的取值；和/或
    与第三子类型的智能化的CSI报告对应的t的取值小于与第一子类型的智能化的CSI报告对应的t的取值；和/或
    与第三子类型的智能化的CSI报告对应的t的取值小于与第二子类型的智能化的CSI报告对应的t的取值。
  11. 根据权利要求4-7中任一项所述的方法，其特征在于，所述智能化的CSI报告的优先级与以下至少一个参数关联：a、服务小区的最大数量Ncells、所述智能化的CSI报告配置的最大数量Ms、所述智能化的CSI报告的调度属性对应的取值y、与所述智能化的CSI报告的类型对应的取值k、服务小区索引值c、报告配置标识s。
  12. 根据权利要求11所述的方法，其特征在于，对于非智能化的CSI报告，所述a的取值为2；对于智能化的CSI报告，所述a的取值为6或8。
  13. 根据权利要求4-7中任一项所述的方法，其特征在于，所述智能化的CSI报告的优先级与以下至少一个参数关联：服务小区的最大数量Ncells、所述智能化的CSI报告配置的最大数量Ms、与所述智能化的CSI报告的调度属性对应的取值y、与所述智能化的CSI报告的类型对应的取值k、服务小区索引值c、报告配置标识s。
  14. 根据权利要求13所述的方法，其特征在于，对于第三子类型或第四子类型的智能化的CSI报告，所述k的取值为1～4中的任意一个；和/或
    对于第一子类型或第二子类型的智能化的CSI报告，所述k的取值为1～5中的任意一个。
  15. 一种通信装置，其特征在于，包括用于执行如权利要求1～14中任一项所述的方法的单元。
  16. 一种通信装置，其特征在于，包括处理器和接口电路，所述接口电路用于接收来自所述装置之外的其它装置的信号并传输至所述处理器或将来自所述处理器的信号发送给所述装置之外的其它调度时延确定装置，所述处理器通过逻辑电路或执行代码指令用于实现如权利要求1～14中任一项所述的方法。
  17. 一种芯片，应用于终端，其特征在于，所述芯片，用于执行如权利要求1～14中任一项所述的方法。
  18. 一种芯片模组，应用于终端，其特征在于，包括收发组件和芯片，所述芯片，用于执行如权利要求1～14中任一项所述的方法。
  19. 一种计算机可读存储介质，其特征在于，所述存储介质中存储有计算机程序或指令，当所述计算机程序或指令被调度时延确定装置执行时，实现如权利要求1～14中任一项所述的方法。
  20. 一种通信系统，包括第一通信装置和第二通信装置，所述第一通信装置用于实现如权利要求1、2、4-14中任一项所述的方法，所述第二通信装置用于实现如权利要求3-14中任一项所述的方法。
PCT/CN2023/090106 2022-04-26 2023-04-23 通信方法及装置、芯片、芯片模组、存储介质 WO2023207852A1 (zh)

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Citations (3)

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US20120039252A1 (en) * 2010-08-16 2012-02-16 Qualcomm Incorporated Channel state information feedback for carrier aggregation
CN110661560A (zh) * 2018-06-29 2020-01-07 中兴通讯股份有限公司 Csi反馈的方法、装置、终端、基站及存储介质
CN112054825A (zh) * 2019-06-06 2020-12-08 华为技术有限公司 一种信道测量方法和通信装置

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120039252A1 (en) * 2010-08-16 2012-02-16 Qualcomm Incorporated Channel state information feedback for carrier aggregation
CN110661560A (zh) * 2018-06-29 2020-01-07 中兴通讯股份有限公司 Csi反馈的方法、装置、终端、基站及存储介质
CN112054825A (zh) * 2019-06-06 2020-12-08 华为技术有限公司 一种信道测量方法和通信装置

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