Channel quality indication method and apparatus

Abstract

A channel quality indication method and apparatus are disclosed, the channel quality indication method comprising a step of a first communication node transmitting a channel quality indicator to a second communication node, and the second communication node correspondingly receiving a channel quality indicator from the first communication node, the channel quality indicator comprising a first indicator and a second indicator, the first indicator being used to indicate a channel quality matching a reference precoding matrix.

Description

[Technical Field]

[0001] (CROSS-REFERENCE TO RELATED APPLICATIONS) This application claims priority from a Chinese patent application bearing application number 202310331058.3, filed on March 24, 2023, the entire disclosure of which is incorporated herein by reference.

[0002] The present disclosure relates to the field of communications technology, and more particularly to a Channel Quality Indicator (CQI) method and apparatus. [Background technology]

[0003] In a fifth generation communication system, a base station transmits a reference signal to a terminal, and the terminal measures the reference signal to determine channel state information from the base station to the terminal. After determining the channel state information, the terminal reports the channel state information to the base station. Summary of the Invention [Means for solving the problem]

[0004] In one aspect, a channel quality indication method is provided, the channel quality indication method being applied to a first communication node, the channel quality indication method comprising the step of transmitting a channel quality indicator to a second communication node, the channel quality indicator comprising a first indicator and a second indicator, the first indicator being used to indicate a channel quality matching a reference precoding matrix.

[0005] In another aspect, a channel quality indication method is provided, the channel quality indication method being applied to a second communication node, the channel quality indication method comprising receiving a channel quality indicator from a first communication node, the channel quality indicator comprising a first indicator and a second indicator, the first indicator being used to indicate a channel quality matching a reference precoding matrix.

[0006] In yet another aspect, a channel quality indication device is provided, the channel quality indication device comprising: a transmitting unit for transmitting a channel quality indicator to a second communication node, the channel quality indicator comprising a first indicator and a second indicator, the first indicator being used to indicate a channel quality matching a reference precoding matrix.

[0007] In yet another aspect, a channel quality indication apparatus is provided, the channel quality indication apparatus comprising: a receiving unit for receiving a channel quality indicator from a first communication node, the channel quality indicator comprising a first indicator and a second indicator, the first indicator being used to indicate a channel quality matching a reference precoding matrix.

[0008] In yet another aspect, a channel quality indicator device is provided. The channel quality indicator device implements the functions of the above-mentioned aspects, and the functions may be implemented in hardware. In one embodiment, the channel quality indicator device may include a processor and a communication interface. The processor may be used to support the device in implementing the functions according to any one of the above-mentioned aspects, for example, the function of transmitting a channel quality indicator via the communication interface.

[0009] In one embodiment, the channel quality indicating device may further include a memory, which is used to store computer-executable instructions and data required by the device, and when the device is in operation, the processor executes the computer-executable instructions stored in the memory to cause the channel quality indicating device to perform the channel quality indicating method according to any one of the above aspects.

[0010] In yet another aspect, there is provided a computer-readable storage medium, which may be a readable non-volatile storage medium, having stored thereon computer instructions or programs that, when executed by a computer, enable the computer to perform the channel quality indication method according to any of the previous aspects.

[0011] In yet another aspect, there is provided a computer program product comprising instructions, which when executed by a computer, enable the computer to perform the channel quality indication method according to any of the previous aspects. [Brief explanation of the drawings]

[0012] [Figure 1] 1 is a schematic diagram of a communication system according to some embodiments. [Figure 2] 1 is a block diagram of a channel quality indication device according to some embodiments; [Figure 3] 1 is a schematic diagram of a channel quality indication method according to some embodiments; [Figure 4] 4 is a schematic diagram of another channel quality indication method according to some embodiments; [Figure 5] 1 is a block diagram of another channel quality indicator according to some embodiments; [Figure 6] 1 is a block diagram of yet another channel quality indicator according to some embodiments; DETAILED DESCRIPTION OF THE INVENTION

[0013] For a better understanding of the invention in the embodiments of the present disclosure, the invention in the embodiments of the present disclosure will now be clearly and completely described with reference to the drawings in the embodiments of the present disclosure.

[0014] In the description of this disclosure, unless otherwise specified, " / " means "or." For example, A / B may represent A or B. In this specification, "and / or" only describes the relationship between related objects and means that three types of relationships may exist. For example, A and / or B may represent A only, B only, or both A and B. Furthermore, "at least one" means one or more, and "multiple" means two or more. Terms such as "first," "second," etc. do not limit the quantity or the order of execution, and terms such as "first," "second," etc. do not necessarily limit different items. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or multiple items. For example, at least one of a, b, or c may represent only a, only b, or only c, or a and b, a and c, or b and c, or a, b, and c, where the quantities of a, b, and c may be single or multiple.

[0015] It should be noted that in this disclosure, terms such as "exemplary" or "for example" are used to indicate use as an example, illustration, or explanation. Any embodiment or design described in this disclosure as "exemplary" or "for example" should not be construed as preferred or advantageous over other embodiments or designs. Indeed, the purpose of using terms such as "exemplary" or "for example" is to present related concepts in a concrete manner.

[0016] In the embodiments of the present disclosure, "indicate" may include directly indicating and indirectly indicating. For example, in the following example of indication information, the indication information can directly carry information A itself or its index to achieve the purpose of directly pointing to information A. Alternatively, the indication information can carry information B that is related to information A, thereby achieving the purpose of pointing to information B and indirectly pointing to information A at the same time.

[0017] In wireless communication technology, the Long Term Evolution (LTE) technology in the fourth generation wireless communication technology and the New Radio (NR) technology in the fifth generation wireless communication technology are based on Orthogonal Frequency Division Multiplexing (OFDM) technology.

[0018] In OFDM technology, the smallest frequency domain unit is a subcarrier, and the smallest time domain unit is an OFDM symbol. In one example, to facilitate the use of frequency domain resources, resource blocks and bandwidth parts (BWPs) are defined. A resource block is defined as a specific number of consecutive subcarriers. A bandwidth part is defined as another specific number of consecutive resource blocks on a carrier. In another example, to facilitate the use of time domain resources, slots are defined. A slot is defined as another specific number of consecutive OFDM symbols.

[0019] In some scenarios, when a base station needs to transmit data to a terminal, the base station needs to determine a scheduling policy for transmitting data to the terminal based on the channel quality of a downlink channel between the base station and the terminal (also referred to as downlink channel quality). Therefore, to determine the downlink channel quality between the base station and the terminal, the base station transmits a reference signal (also referred to as a downlink reference signal) to the terminal, and the terminal receives and measures the reference signal to determine channel state information for indicating the channel quality from the base station to the terminal. The terminal reports the channel state information to the base station. In this way, the base station can determine the channel quality from the base station to the terminal based on the channel state indicated by the received channel state information. Furthermore, the base station can improve the efficiency of data transmission by determining a data transmission policy based on the channel quality and transmitting data according to the policy.

[0020] The reference signal transmitted by the base station may be interpreted as a downlink reference signal.

[0021] For example, in an LTE system, downlink reference signals may include a cell-specific reference signal (CRS) and a channel-state information reference signal (CSI-RS).

[0022] In another example, in an NR system, the downlink reference signal may include a CSI-RS.

[0023] The CSI-RS can be carried by a channel state information reference signal resource (CSI-RS resource). The channel state information reference signal resource is composed of a code division multiplexing (CDM) group. One CDM group is composed of radio resource elements. The CSI-RS of one group of CSI-RS ports are multiplexed thereon by code division multiplexing.

[0024] The accuracy of the channel state indicated by the channel state information affects the data transmission policy of the base station, and thus affects the efficiency with which the base station transmits data to the terminal.

[0025] In one example, the channel state information may include a CQI or a Pre-coding Matrix Indicator (PMI). The CQI may be used to indicate the channel quality between the base station and the terminal. The PMI may be used to indicate the pre-coding matrix to be applied to the antenna of the base station.

[0026] Regarding the channel state information, the report format of the CQI may include the following format 1 and format 2, and the report format of the PMI may include the following format 3, format 4, and format 5.

[0027] Format 1: The CQI reporting format may be wideband CQI reporting, that is, the terminal reports one CQI to indicate channel quality through a CSI reporting frequency band, and the channel quality indicated by the CQI corresponds to the entire CSI reporting frequency band.

[0028] Format 2, the CQI reporting format, may be sub-band CQI reporting, that is, when a terminal reports CQI via a channel state information reporting frequency band, the terminal may report CQI in units of sub-bands.

[0029] In Format 2, one channel quality corresponds to one subband. That is, the channel state information reporting frequency band includes subbands, and each subband corresponds to one channel quality. A subband is a frequency domain unit and may be defined as N consecutive resource blocks (RBs), where N is a positive integer. For convenience, in the embodiments of the present disclosure, a subband may be referred to as a channel quality indicator subband, a CQI subband, or simply a subband. N is referred to as the size of the CQI subband, or the CQI subband size, or the subband size. The BWP may be divided into subbands, and the CSI reporting frequency band may be defined by a subset of the subbands of the BWP. For example, the CSI reporting frequency band may be a subband among the subbands of the BWP for which channel state information needs to be reported.

[0030] The manner in which the terminal determines the channel quality based on the two types of CQI reporting formats may include determining the channel quality based on the strength of the reference signal received by the terminal and / or determining the channel quality based on the signal to interference plus noise ratio (SINR) of the received reference signal.

[0031] If the channel quality on the channel state information reporting frequency band does not change significantly, the terminal may report the CQI using a wideband CQI reporting method. This reporting method can reduce the resource overhead for CQI reporting. If the channel quality varies significantly in the frequency domain, the terminal may report the CQI using a subband CQI reporting method. This reporting method can improve the accuracy of the CQI report.

[0032] Format 3: The PMI reporting format may be a wideband PMI report, that is, the terminal may report one PMI over the channel state information reporting frequency band, where the PMI corresponds to the entire channel state information reporting frequency band.

[0033] Format 4, the PMI reporting format may be a subband PMI report, that is, the terminal may report one PMI via each subband of the channel state information reporting frequency band, or may report components of one PMI via each subband of the channel state information reporting frequency band.

[0034] For example, if a PMI consists of two parts, X1 and X2, the terminal may report X1 and X2 of one PMI via each subband of the channel state information reporting frequency band. For example, the terminal may report one X1 via the entire channel state information reporting frequency band and one X2 via each subband. Also, for example, the terminal may report one X1 and one X2 via each subband.

[0035] Format 5, the PMI reporting format, is that the reported PMI is R precoding matrices indicated by each subband, where R is a positive integer. Regarding the frequency domain granularity of feeding back the precoding matrices, R may also represent the number of precoding matrices included in each subband or the number of precoding matrices included in each CQI subband.

[0036] In some examples, taking a case where a base station and a terminal perform data transmission, it is assumed that the base station can transmit a signal or data to the terminal via a wireless channel using a precoding matrix. Based on this assumption, the terminal can calculate a CQI using the assumed precoding matrix. For convenience of description, the calculated CQI is referred to as a reference CQI, and the used precoding matrix is ​​referred to as a reference precoding matrix. The terminal may report information about the reference precoding matrix and information about the reference CQI to the base station. The base station can reconstruct the precoding matrix from the received information about the reference precoding matrix (hereinafter, for convenience of description, the reconstructed precoding matrix is ​​referred to as a reconstructed precoding matrix), and can reconstruct the CQI from the received information about the reference CQI (hereinafter, for convenience of description, the reconstructed CQI is referred to as a reconstructed CQI). In this way, the base station can determine a scheduling policy for signal or data transmission based on the reconstructed precoding matrix and the reconstructed CQI, and transmit the signal or data to the terminal according to the scheduling policy.

[0037] However, in some scenarios, a problem may occur in which the reconstructed precoding matrix and the reconstructed CQI do not match, in which case it is not appropriate to determine a scheduling policy for signal or data transmission based on the reconstructed precoding matrix and the reconstructed CQI, which will ultimately degrade the data transmission performance of the communication system.

[0038] For example, the transmitted reference precoding matrix information may not completely describe the reference precoding matrix, and the reconstructed precoding matrix may differ from the reference precoding matrix.

[0039] Furthermore, for example, the information of the reference precoding matrix received by the base station may differ from the information of the transmitted reference precoding matrix, for example, when part of the information of the reference precoding matrix is ​​lost during transmission, when part of the information of the transmitted reference precoding matrix is ​​lost due to compression, or when part of the information of the reference precoding matrix is ​​lost due to information conversion during transmission.

[0040] In addition, for example, the base station may not be able to completely restore the reference precoding matrix from the received reference precoding matrix information, for example, when the base station has limited analysis capabilities or when a specific analysis error occurs.

[0041] Any of the above may cause the reconstructed precoding matrix and the reconstructed CQI to not match.

[0042] In view of this, an embodiment of the present disclosure provides a channel quality indication method, the method including: indicating channel quality by a channel quality indicator including a first index and a second index. The first index may be used to indicate a channel quality matching a reference precoding matrix. In this way, the first communication node indicates the CQI by multiple parts, such as the first index and the second index, thereby improving the accuracy of the channel quality indicator and reducing system complexity. This can improve the data transmission performance of the communication system.

[0043] The inventions relating to the embodiments of the present disclosure can be applied to various communication systems, such as NR communication systems that adopt 5G communication technology, future evolved systems, or systems that combine multiple communication methods.

[0044] 1 illustrates a schematic diagram of a communication system according to an embodiment of the present disclosure. The communication system may include a second communication node and a first communication node. The first communication node may be communicatively connected to the second communication node. For example, the first communication node and the second communication node may be communicatively connected via a wireless channel.

[0045] The first communication node may also be referred to as a signal receiving end. The first communication node may measure the channel quality between the first communication node and the second communication node, and may report a channel quality indicator (also referred to as channel state information) to the second communication node to indicate the channel quality.

[0046] The second communication node may also be referred to as a signal transmitting end. The second communication node may use a precoding matrix with multiple antennas to transmit a signal or data through a wireless channel.

[0047] In some application scenarios, the first communication node may be a terminal and the second communication node may be a base station, or both the first communication node and the second communication node may be base stations, or both the first communication node and the second communication node may be terminals.

[0048] In yet another application scenario, the first communication node may be a terminal and the second communication node may be a wireless router. Alternatively, the first communication node may be a repeater and the second communication node may be a base station. Alternatively, the first communication node may be a terminal and the second communication node may be a repeater. Alternatively, both the first communication node and the second communication node may be repeaters.

[0049] In yet another application scenario, the first communication node may be a base station and the second communication node may be a satellite. Or, the first communication node may be a satellite and the second communication node may be a base station. Or, the first communication node may be a terminal and the second communication node may be a satellite. Or, the first communication node may be a satellite and the second communication node may be a terminal.

[0050] In yet another application scenario, the first communication node may be a ground device and the second communication node may be an aircraft, or both the first communication node and the second communication node may be aircraft.

[0051] When the communication node is a base station, the communication node may also be a network device or a device having the function of a network device. This communication node may be used to realize functions such as resource scheduling, radio resource management, and radio access control for terminal devices. Specifically, the communication node may be a small base station, a radio access point, a transmission receive point (TRP), a transmission point (TP), or other access node.

[0052] When the communication node is a terminal, the communication node may also be a device having terminal functions. A terminal may also be referred to as a terminal device, user equipment (UE), mobile station, mobile terminal, etc. The terminal may be a mobile phone, a tablet computer, a computer with wireless transmission and reception functions, a virtual reality terminal device, an augmented reality terminal device, a wireless terminal in industrial control, a wireless terminal in autonomous driving, a wireless terminal in remote surgery, a wireless terminal in transportation safety, a wireless terminal in smart cities, a wireless terminal in smart homes, etc. The embodiments of the present disclosure do not limit the device form adopted by the terminal.

[0053] Note that Figure 1 is merely an exemplary framework diagram, and the number of nodes and names of each device included in Figure 1 are not limited, and the communication system may include other nodes in addition to the functional nodes shown in Figure 1.

[0054] The application scenarios of the embodiments of the present disclosure are not limited. The system architectures and business scenarios described in the embodiments of the present disclosure are intended to more clearly explain the invention of the embodiments of the present disclosure and should not be construed as limitations on the invention of the embodiments of the present disclosure. Those skilled in the art will understand that as network architectures evolve and new business scenarios emerge, the invention of the embodiments of the present disclosure can be similarly applied to similar technical issues.

[0055] In some embodiments, any of the devices in Fig. 1 may employ the configuration shown in Fig. 2 or may include the components shown in Fig. 2. Fig. 2 is a schematic diagram of a channel quality indicating apparatus 200 according to an embodiment of the present disclosure, which may be a second communication node, a chip or system-on-chip (SoC) within the second communication node, or a first communication node, or a chip or system-on-chip within the first communication node. As shown in Fig. 2, the channel quality indicating apparatus 200 includes a processor 201, a communication interface 202, and a communication line 203.

[0056] Furthermore, the channel quality indicator 200 may include a memory 204. The processor 201, the memory 204, and the communication interface 202 may be connected by a communication line 203.

[0057] The processor 201 may be a CPU, a general-purpose processor, a network processor (NP), a digital signal processor (DSP), a microprocessor, a microcontroller, a programmable logic device (PLD), or any combination thereof. The processor 201 may also be other apparatus having processing capabilities, such as, but not limited to, a circuit, a device, or a software module.

[0058] The communication interface 202 is used for communication with other devices or other communication networks, which may be Ethernet, a radio access network (RAN), a wireless local area network (WLAN), etc. The communication interface 202 may be a module, a circuit, a communication interface, or any device capable of implementing communication.

[0059] The communication lines 203 are used to transmit information between the components included in the channel quality indicating device 200 .

[0060] The memory 204 is used to store instructions, which may be computer programs.

[0061] Memory 204 may be, but is not limited to, read-only memory (ROM) or other type of static storage device capable of storing static information and / or instructions, random access memory (RAM) or other type of dynamic storage device capable of storing information and / or instructions, electrically erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disk storage device, optical disk storage device (including compact disc, laser disc, optical disc, digital versatile disc, Blu-ray disc, etc.), magnetic disk storage medium, or other magnetic storage device.

[0062] It should be noted that the memory 204 may exist independently of the processor 201 or may be integrated with the processor 201. The memory 204 may be used to store instructions, program codes, some data, etc. The memory 204 may be located inside the channel quality indicating device 200 or outside the channel quality indicating device 200, but is not limited thereto. The processor 201 is used to execute the instructions stored in the memory 204 and implement the antenna parameter determination method according to the following embodiments of the present disclosure.

[0063] In one example, processor 201 may include one or more CPUs, such as CPU0 and CPU1 of FIG.

[0064] In one embodiment, the channel quality indicator 200 may include multiple processors, for example processor 201 of FIG. 2, plus processor 207.

[0065] In one embodiment, the channel quality indicating apparatus 200 may further include an output device 205 and an input device 206. Illustratively, the input device 206 is a device such as a keyboard, a mouse, a microphone, or a control lever, and the output device 205 is a device such as a display or a speaker.

[0066] It should be noted that the channel quality indicating apparatus 200 may be a desktop computer, a notebook computer, a network server, a mobile phone, a tablet computer, a wireless terminal, an embedded device, a chip system, or a device having a structure similar to that of Figure 2. Furthermore, the configuration shown in Figure 2 should not be construed as a limitation of the devices of Figures 1 and 2; in addition to the components shown in Figure 2, the devices of Figures 1 and 2 may include more or fewer components than those shown, may combine some components, or may adopt a different arrangement of components.

[0067] In the embodiments of the present disclosure, a chip system may be composed of a chip or may include a chip and other discrete devices.

[0068] Furthermore, the operations, terms, etc. according to the embodiments of the present disclosure can be mutually referenced and are not limited. The names of messages exchanged between devices and the names of parameters in the messages in the embodiments of the present disclosure are merely examples, and other names may be used, but are not limited thereto.

[0069] Hereinafter, a channel quality indication method according to an embodiment of the present disclosure will be described with reference to the communication system shown in FIG. 1. Operations, terms, etc. according to each embodiment of the present disclosure may refer to each other and are not limited thereto. In the embodiments of the present disclosure, the names of messages exchanged between devices and the names of parameters in the messages are merely examples, and other names may be used, but are not limited thereto. Operations according to each embodiment of the present disclosure are merely examples, and other names may be adopted. For example, terms such as "included in" described in the embodiments of the present disclosure may be read as "conveyed to" or "delivered to", etc.

[0070] FIG. 3 is a diagram illustrating a channel quality indication method according to an embodiment of the present disclosure. As shown in FIG. 3, the method may include the following steps:

[0071] S301, a first communication node transmits a channel quality indicator to a second communication node.

[0072] The first communication node may be the first communication node of Figure 1 or a device (e.g., a chip or system on chip) in the first communication node of Figure 1. The second communication node may be the second communication node of Figure 1 or a device (e.g., a chip or system on chip) in the second communication node of Figure 2.

[0073] In embodiments of the present disclosure, the channel quality indicator may be referred to as channel quality indicator information, channel quality information, channel quality status information, CQI, or other names.

[0074] The channel quality indicator is used to indicate the channel quality of a channel (or a downlink channel) between a first communication node and a second communication node. Assuming that the second communication node transmits data using a precoding matrix, the channel quality indicator is obtained by the first communication node measuring a reference signal (or a downlink reference signal). For example, the channel quality indicator may be expressed or characterized as a signal-to-interference-and-noise ratio (SINR) of the reference signal. For example, the channel quality indicator may be the SINR of the reference signal or a metric value based on the SINR. Also, for example, the channel quality indicator may be expressed or characterized as reference signal received power (RSRP). For example, the channel quality indicator may be reference signal received quality (RSRQ) or a metric value based on the RSRQ. Of course, the channel quality indicator may be expressed or characterized as, but is not limited to, other channel quality parameters or a metric value based on other channel quality parameters.

[0075] In one example, to improve the matching degree between the reconstructed precoding matrix and the reconstructed CQI, the channel quality index may be composed of a first index and a second index. For example, the channel quality index may include the first index and the second index, or the channel quality index may be determined based on the first index and the second index.

[0076] In one example, the channel quality indicator, the first indicator, and the second indicator may satisfy at least one of the following relationships 1-1 to 1-5.

[0077] 1-1, the value of the channel quality index may be determined based on the sum of the value of the first index and the value of the second index.

[0078] For example, the channel qualityThe value of the index may be the sum of the value of the first index and the value of the second index. Alternatively, for example, the value of the channel quality index may be determined by a value that has a corresponding relationship with the sum of the value of the first index and the value of the second index. That is, the value of the channel quality index has a corresponding relationship with the sum of the value of the first index and the value of the second index. This corresponding relationship may be, but is not limited to, a linear relationship or a functional relationship.

[0079] 1-2. The value of the channel quality indicator may be determined based on the difference between the value of the first indicator and the value of the second indicator.

[0080] The value of the first index may be the minuend and the value of the second index may be the subtrahend. Of course, the value of the first index may be the subtrahend and the value of the second index may be the minuend, but this is not limited to this.

[0081] For example, the value of the channel quality index may be determined by the difference between the value of the first index and the value of the second index. Alternatively, for example, the value of the channel quality index may be determined by a value that has a corresponding relationship with the difference between the value of the first index and the value of the second index. That is, the value of the channel quality index has a corresponding relationship with the difference between the value of the first index and the value of the second index. This corresponding relationship may be, but is not limited to, a linear relationship or a functional relationship.

[0082] 1-3. The channel quality indicated by the channel quality indicator may be determined based on the product of the value of the first indicator and the value of the second indicator.

[0083] For example, the value of the channel quality index may be the product of the value of the first index and the value of the second index. Alternatively, for example, the value of the channel quality index may be determined by a value that has a corresponding relationship with the product of the value of the first index and the value of the second index. That is, the value of the channel quality index has a corresponding relationship with the product of the value of the first index and the value of the second index. This corresponding relationship may be, but is not limited to, a linear relationship or a functional relationship.

[0084] 1-4. The channel quality indicated by the channel quality indicator can be determined based on the quotient of the value of the first indicator and the value of the second indicator.

[0085] The value of the first index may be the dividend and the value of the second index may be the divisor. Of course, the value of the first index may be the divisor and the value of the second index may be the dividend, but this is not limited to this.

[0086] For example, the value of the channel quality index may be the quotient of the first index value and the second index value. Alternatively, for example, the value of the channel quality index may be determined by a value that has a corresponding relationship with the quotient of the first index value and the second index value. That is, the value of the channel quality index has a corresponding relationship with the quotient of the first index value and the second index value. This corresponding relationship may be, but is not limited to, a linear relationship or a functional relationship.

[0087] 1-5. The channel quality indicated by the channel quality indicator may be determined based on the remainder of the value of the first indicator and the value of the second indicator.

[0088] The value of the first index may be the dividend and the value of the second index may be the divisor. Of course, the value of the first index may be the divisor and the value of the second index may be the dividend, but this is not limited to this.

[0089] For example, the value of the channel quality indicator may be the remainder of the value of the first index and the value of the second index. Alternatively, for example, the value of the channel quality indicator may be determined by a value that has a correspondence relationship with the remainder of the value of the first index and the value of the second index. That is, the value of the channel quality indicator has a correspondence relationship with the remainder of the value of the first index and the value of the second index. This correspondence relationship may be, but is not limited to, a linear relationship or a functional relationship.

[0090] S302, a second communication node receives a channel quality indicator from a first communication node.

[0091] In one example, if the channel quality indicator includes a first indicator and a second indicator, the second communication node may determine the value of the channel quality indicator based on the first indicator and the second indicator.

[0092] For example, the second communication node may determine the value of the channel quality indicator based on the value of the first indicator and the value of the second indicator.

[0093] In another example, when the channel quality indicator is determined based on the value of the first indicator and the value of the second indicator, the first communication node determines the value of the channel quality indicator based on the value of the first indicator and the value of the second indicator, and transmits the value of the channel quality indicator to the second communication node. quality The value of the index can be determined.

[0094] According to the invention of FIG. 3, a format of the channel quality indicator is defined, for example, the channel quality indicator includes a first index and a second index. The first index is used to indicate the channel quality matching the reference precoding matrix. In this way, the first communication node indicates the CQI using multiple parts such as the first index and the second index, thereby improving the accuracy of the channel quality indicator and reducing the system complexity. This can improve the data transmission performance of the communication system.

[0095] The first index and the second index in the embodiment of the present disclosure will be described below.

[0096] 1. The first indicator may also be referred to as a first channel quality indicator, a first channel quality information, or the like, and may be called by other names, but is not limited thereto.

[0097] The first index is used to indicate a channel quality matching a reference precoding matrix, and the first index may be calculated based on the reference precoding matrix.

[0098] In one embodiment, for example, it is assumed that the second communication node transmits signals or data over a wireless channel using a specific precoding matrix via a multi-antenna technique. Based on this assumption, the first communication node can calculate a first index based on the specific precoding matrix. The specific precoding matrix may be a reference precoding matrix.

[0099] In one example, a first communication node may measure a downlink channel quality between the first communication node and the second communication node. Based on the downlink channel quality, the first communication node may determine a reference precoding matrix. For example, the first communication node may determine a reference precoding matrix based on a correspondence relationship between the reference precoding matrix and the downlink channel quality. This correspondence relationship may be set by default by the first communication node, or may be set by the second communication node or the third communication node, but is not limited to these.

[0100] 2. The second indicator may also be referred to as a second channel quality indicator, a second channel quality information, or the like, and may be called by other names, but is not limited thereto.

[0101] In one example, the second index may be determined based on the first matrix and the second matrix.

[0102] In one embodiment, the method for determining the value of the second index may include the following methods 1 to 6.

[0103] Method 1: The value of the second index may be determined based on the similarity metric value of the first matrix and the second matrix.

[0104] The first matrix is ​​a first precoding matrix. Furthermore, the first communication node may report information about the first precoding matrix, for example, a first precoding matrix indicator (PMI), to the second communication node, so that the second communication node reconstructs the first precoding matrix based on the information about the first precoding matrix reported by the first communication node.

[0105] In one example, one of the first matrix and the second matrix may be the above-mentioned reference precoding matrix, for example, the first matrix may be the reference precoding matrix, i.e., the first precoding matrix may be the reference precoding matrix, and the second matrix may be the reference precoding matrix.

[0106] The second matrix may be a matrix determined by the first communication node. For example, the second matrix may be determined based on the first matrix, may be set in the first communication node by the second or third communication node, may be set as a default by the first communication node, or may be determined from a candidate matrix set by the first communication node. For specific details, refer to the description of the embodiment in FIG. 4 described later, but a repeated description will not be given here. The third communication node is a node different from the first and second communication nodes. For the third communication node, refer to the description of the first or second communication node in FIG. 1, but a detailed description will be omitted here.

[0107] In one embodiment, the value of the second index may be a similarity metric value between the first matrix and the second matrix.

[0108] The similarity metric value between the first matrix and the second matrix is ​​also referred to as the similarity metric value between the first matrix and the second matrix.

[0109] The similarity metric value between the first matrix and the second matrix may be directly proportional to the similarity between the first matrix and the second matrix, or may be inversely proportional to the similarity between the first matrix and the second matrix.

[0110] In one example, if the similarity metric value between a first matrix and a second matrix is ​​directly proportional to the similarity between the first matrix and the second matrix, the similarity metric value between the first matrix and the second matrix may be expressed as a distance between the first matrix and the second matrix, which may be a first norm distance, a second norm distance, a chordal distance, etc.

[0111] In another example, if the similarity metric value between a first matrix and a second matrix is ​​inversely proportional to the similarity between the first matrix and the second matrix, the similarity metric value between the first matrix and the second matrix may be a projection value between the first matrix and the second matrix, a dot product between the first matrix and the second matrix, a cosine similarity between the first matrix and the second matrix, or a power of the cosine similarity between the first matrix and the second matrix, etc.

[0112] In addition, in an embodiment of the present disclosure, if the similarity metric value between matrices is inversely proportional to the similarity between the matrices, the similarity between a matrix and a matrix exceeding a threshold may be replaced by the similarity metric value between a matrix and a matrix being less than the threshold, and the similarity between a matrix and a matrix being less than the threshold may be replaced by the similarity metric value between a matrix and a matrix exceeding the threshold.

[0113] If the similarity metric value between matrices is directly proportional to the similarity between the matrices, then the similarity between a matrix and a matrix being above a threshold is translated into the similarity metric value between the matrix and a matrix exceeding the threshold, and the similarity between a matrix and a matrix being below the threshold is translated into the similarity metric value between the matrix and a matrix being below the threshold.

[0114] In one embodiment, the first communication node can obtain the channel coefficients by measuring a reference signal transmitted by the second communication node. If the reference precoding matrix is ​​a ket vector matrix of channel coefficients, the value of the second index can be a non-positive number. The channel quality indicated by the channel quality index can be the sum of the value of the first index and the value of the second index.

[0115] In one embodiment, assuming that the second communication node transmits a signal or data over a wireless channel using multiple antennas and a right eigenvector of the channel coefficients, the first communication node can calculate a value of the first index. The value of the second index is a non-positive number. The channel quality indicated by the channel quality index is the sum of the value of the first index and the value of the second index.

[0116] In another example, the similarity metric values ​​of the first and second matrices have a correspondence relationship with the values ​​of the second index, which may include a monotonically increasing relationship (referred to as Case 1) or a monotonically decreasing relationship (referred to as Case 2).

[0117] In case 1, the correspondence relationship between the similarity metric value of the first matrix and the second matrix and the value of the second index is monotonically increasing.

[0118] The monotonic increase may include a linear monotonic increase, a logarithmic monotonic increase, an exponential monotonic increase, or a power function monotonic increase.

[0119] For example, if the channel quality indicated by the channel quality index is equal to the difference between the value of the first index and the value of the second index, the value of the second index is non-negative, and the similarity between the first matrix and the second matrix is ​​inversely proportional to the similarity metric value, then the correspondence between the value of the second index and the similarity metric value between the first matrix and the second matrix is ​​monotonically increasing.

[0120] Furthermore, for example, if the channel quality indicated by the channel quality index is equal to the difference between the value of the first index and the value of the second index, the value of the second index is a non-positive number, and the similarity between the first matrix and the second matrix is ​​directly proportional to the similarity metric value, the correspondence between the value of the second index and the similarity metric value between the first matrix and the second matrix is ​​monotonically increasing.

[0121] In some scenarios, the higher the similarity between the first matrix and the second matrix, the higher the match degree between the first index and the reconstructed precoding matrix of the first communication node. The lower the similarity between the first matrix and the second matrix, the lower the match degree between the first index and the reconstructed precoding matrix of the first communication node. Since the correspondence relationship between the value of the second index and the similarity metric value between the first matrix and the second matrix is ​​monotonically increasing, the match degree between the channel quality index and the reconstructed precoding matrix of the first communication node can be improved.

[0122] In case 2, the correspondence relationship between the similarity metric values ​​of the first matrix and the second matrix and the value of the second index is a monotonically decreasing relationship.

[0123] The monotonic decrease may include a linear monotonic decrease, a logarithmic monotonic decrease, an exponential monotonic decrease, or a power function monotonic decrease.

[0124] For example, if the channel quality indicated by the channel quality index is equal to the difference between the value of the first index and the value of the second index, the value of the second index is a non-positive number, and the similarity between the first matrix and the second matrix is ​​inversely proportional to the similarity metric value, then the correspondence between the second index and the similarity metric value between the first matrix and the second matrix is ​​monotonically decreasing.

[0125] Furthermore, for example, if the channel quality indicated by the channel quality index is equal to the difference between the value of the first index and the value of the second index, the value of the second index is a non-integer number, and the similarity between the first matrix and the second matrix is ​​directly proportional to the similarity metric value, the correspondence between the second index and the similarity metric value between the first matrix and the second matrix is ​​monotonically decreasing.

[0126] In some scenarios, the higher the similarity between the first matrix and the second matrix, the lower the match degree between the first index and the reconstructed precoding matrix of the first communication node; and the lower the similarity between the first matrix and the second matrix, the higher the match degree between the first index and the reconstructed precoding matrix of the first communication node.

[0127] In another example, the method for determining the value of the second index further based on the similarity metric value between the first matrix and the matrices in the set of candidate matrices may include at least one of the following 2-1 to 2-6.

[0128] 2-1, the value of the second index is determined based on the similarity metric value of the first matrix and the first target matrix in the candidate matrix set.

[0129] The candidate matrix set may include one or more matrices, and may be set by default by the first communication node, set by the second or third communication node, or obtained by the first communication node from the second or third communication node, but is not limited to this.

[0130] The first target matrix is ​​the matrix in the set of candidate matrices that has the highest similarity to the first matrix.

[0131] 2-2, the value of the second index is determined based on the similarity metric value of the first matrix and the second target matrix in the candidate matrix set.

[0132] The second target matrix is ​​the matrix in the set of candidate matrices that is least similar to the first matrix.

[0133] 2-3, the value of the second index is determined based on the average value of the similarity metric values ​​of the first matrix and the matrices in the candidate matrix set.

[0134] 2-4, the value of the second index is determined based on the weighted average of the similarity metric values ​​of the first matrix and the matrices in the candidate matrix set.

[0135] 2-5, the value of the second index is determined based on the value of the first metric.

[0136] The first metric value is determined based on the similarity metric values ​​of the first matrix and the matrices in the set of candidate matrices. For example, the first metric value is the similarity metric value of the third target matrix and the first matrix in the set of candidate matrices. The third target matrix is ​​the matrix that has the highest or lowest similarity to the first matrix in the set of candidate matrices. Also, for example, the first metric value is the average or weighted average of the similarity metric values ​​of the first matrix and the matrices in the set of second matrices.

[0137] In one example, the value of the second index is determined based on a correspondence between the second index and the first metric value, which may include a linear relationship, a mapping table, a mapping function, or the like.

[0138] The method of obtaining the correspondence between the second indicator and the first metric value may include at least one of being directed by the second communication node, being generated by the second communication node, or being read from a memory by the first communication node.

[0139] 2-6, the value of the second index is determined based on the similarity metric value between the first matrix and the matrices in the candidate matrix set.

[0140] The value of the second index may be determined based on a similarity metric value between a fourth target matrix of a subset of the set of candidate matrices and the first matrix, the fourth target matrix being the matrix in the subset that is most similar to the first matrix or the matrix in the subset that is least similar to the first matrix.

[0141] Method 2: The value of the second index may be determined based on a candidate value corresponding to a second matrix in the set of candidate matrices.

[0142] The value of the second index may be equal to a candidate value corresponding to the second matrix, or the value of the second index may be determined based on the candidate value corresponding to the second matrix and a similarity metric value between the reference precoding matrix and the second matrix, or the value of the second index may be determined based on the candidate value corresponding to the second matrix and the first preset value.

[0143] In one example, the candidate values ​​of the second index correspond to a set of candidate matrices.

[0144] The method for determining the candidate values ​​of the second index and the correspondence between the candidate values ​​of the second index and the candidate matrix set may include at least one of the following 3-1 to 3-5.

[0145] 3-1. The first communication node generates candidate values ​​of the second index and a correspondence relationship between the candidate values ​​of the second index and a candidate matrix set.

[0146] 3-2. The first communication node reads out the candidate values ​​of the second index and the correspondence between the candidate values ​​of the second index and the candidate matrix set from the memory.

[0147] 3-3, the second communication node indicates candidate values ​​of the second index and the correspondence between the candidate values ​​of the second index and the candidate matrix set.

[0148] 3-4: The first communication node reads out the candidate values ​​of the second index and the correspondence between the candidate values ​​of the second index and the candidate matrix set from the third communication node.

[0149] 3-5. The second communication node indicates candidate values ​​of the second index, and the second communication node generates a correspondence between the candidate values ​​of the second index and a candidate matrix set.

[0150] Method 3: The value of the second index may be determined based on the candidate values ​​corresponding to the target matrix subset in the candidate matrix set.

[0151] The target matrix subset is a subset of the candidate matrix set. A subset may correspond to a group of candidate values. A group of candidate values ​​may include one or more second index values. A specific determination method will be described later in the implementation section. For example Although the description may be referred to, detailed description will be omitted here.

[0152] In one example, a method for determining the value of the second index based on the candidate value corresponding to the target matrix subset in the candidate matrix set may include at least one of the following 4-1 to 4-3.

[0153] 4-1, the value of the second index is a candidate value corresponding to the target matrix subset.

[0154] 4-2. The value of the second index is determined based on the candidate value corresponding to the target matrix subset and the second preset value.

[0155] For example, the value of the second index is the sum of the candidate value corresponding to the target matrix subset and a second preset value.

[0156] Also, for example, the value of the second index is the difference between the candidate value corresponding to the target matrix subset and the second preset value.

[0157] Also, for example, the value of the second index is the product of the candidate value corresponding to the target matrix subset and the second preset value.

[0158] Also, for example, the value of the second index is the quotient of the candidate value corresponding to the target matrix subset and the second preset value.

[0159] 4-3. The value of the second index is determined based on the candidate value corresponding to the target matrix subset and the similarity metric value between the reference precoding matrix and the matrix in the target matrix subset.

[0160] The candidate values ​​have a correspondence with the matrix subset of the candidate matrix, and this correspondence may be a linear function, a first-order function, or the like.

[0161] In one example, the first communication node may determine the second index using the candidate values ​​as inputs. For example, the first communication node may input the candidate values ​​of the second index into a lookup table or a model to determine the second index.

[0162] In another example, the first communication node may determine the value of the second index using the candidate value and the similarity metric value between the first matrix and the target matrix subset as input. The similarity metric value between the first matrix and the target matrix subset may be determined based on the similarity metric values ​​of the first matrix and the matrices in the target matrix subset. Specific details will be described in the implementation section below. For example Reference may be made to the description, but it will not be repeated here.

[0163] For example, the first communication node may input the candidate values ​​of the second index and the similarity metric values ​​of the first matrix and the target matrix subset into a pre-defined formula to obtain the value of the second index.

[0164] For example, the preset formula may include at least one of the following formulas 5-1 to 5-3.

[0165] 5-1. The value of the second index is determined based on the first and second numerical values.

[0166] The first number is the product of the candidate value of the second index and the first coefficient, and the second number is the product of the similarity metric value between the first matrix and the target matrix subset and the second coefficient.

[0167] For example, the value of the second index may be equal to the sum of the first and second numerical values, i.e., the preset formula may be q=ax+by. Also, for example, the value of the second index may be equal to the sum of the first, second, and third numerical values, i.e., the preset formula may be q=ax+by+c.

[0168] 5-2. The value of the second index is determined based on the quotient of the candidate value of the second index and the similarity metric value between the first matrix and the target matrix subset.

[0169] For example, the value of the second index may be equal to the quotient of the candidate value of the second index and the similarity metric value between the first matrix and the target matrix subset, i.e., the preset formula may be q=x / y. Also, for example, the value of the second index may be equal to the product of the quotient of the candidate value of the second index and the similarity metric value between the first matrix and the target matrix subset, and a coefficient, i.e., the preset formula may be q=ax / y. Furthermore, for example, the value of the second index may be equal to the sum of the first product and the coefficient. The first product is the product of the quotient of the candidate value of the second index and the similarity metric value between the first matrix and the target matrix subset, and a coefficient, i.e., the preset formula may be q=ax / y+c.

[0170] 5-3. The value of the second index is determined based on the product of the candidate value of the second index and the similarity metric value between the first matrix and the target matrix subset.

[0171] For example, the value of the second index may be equal to the product of the candidate value of the second index and the similarity metric value between the first matrix and the target matrix subset, or the value of the second index may be equal to the product of the candidate value of the second index and the similarity metric value between the first matrix and the target matrix subset and the coefficient, i.e., the preset formula may be q=axy.

[0172] q represents the value of the second index, x represents the candidate value of the second index, y represents the similarity metric value between the first matrix and the target matrix subset, and a, b, and c are coefficients.

[0173] Furthermore, for example, the first communication node may determine the second index based on the correspondence relationship between q and the combination of values ​​of (x, y). For example, this correspondence relationship may be as shown in Table 1.

[0174] [Table 1]

[0175] In one example, based on Table 1, the correspondence between q and the combination of values ​​of (x, y) may be as shown in Table 2, Table 3, or Table 4.

[0176] [Table 2]

[0177] [Table 3]

[0178] [Table 4]

[0179] The data in Tables 1 to 4 are merely examples, and may include other values ​​and combinations, but are not limited to these.

[0180] In another example, the correspondence between q and the combination of values ​​of (x, y) may include at least one of the following 6-1 to 6-3.

[0181] 6-1. Each matrix in the candidate matrix set corresponds to a combination of q and (x, y).

[0182] 6-2. The entire candidate matrix set has a correspondence with the combination of q and (x, y).

[0183] 6-3. One subset of the candidate matrix set has a correspondence with the combination of q and (x, y).

[0184] In some examples, the method for determining the similarity metric value between the first matrix and the target matrix subset based on the similarity metric values ​​between the first matrix and the matrices in the target matrix subset may include at least one of the following 7-1 to 7-4.

[0185] 7-1. The similarity metric value between the first matrix and the target matrix subset is the similarity metric value between the first matrix and the matrix in the target matrix subset that has the highest similarity.

[0186] 7-2. The similarity metric value between the first matrix and the target matrix subset is the similarity metric value between the first matrix and the matrix in the target matrix subset that has the lowest similarity.

[0187] 7-3, the similarity metric value between the first matrix and the target matrix subset is the average value of the similarity metric values ​​of the matrices in the first matrix and the target matrix subset.

[0188] 7-4, the similarity metric value between the first matrix and the target matrix subset is the weighted average of the similarity metric values ​​of the matrices in the first matrix and the target matrix subset.

[0189] Based on this embodiment, the first communication node can flexibly and accurately determine the similarity metric value between the first matrix and the target matrix subset according to the similarity metric value between the first matrix and the matrices of the target matrix subset.

[0190] Method 4: The value of the second index may be determined based on the similarity metric value of the reference precoding matrix and the matrices in the candidate matrix set.

[0191] In one example, the method for determining the second index based on the similarity metric value between the reference precoding matrix and the matrices in the candidate matrix set may include at least one of the following 8-1 to 8-5.

[0192] 8-1, the value of the second index is determined based on the maximum value of the similarity metric value between the reference precoding matrix and the matrices in the candidate matrix set.

[0193] 8-2, the value of the second index is determined based on the minimum value of the similarity metric value between the reference precoding matrix and the matrices in the candidate matrix set.

[0194] 8-3, the value of the second index is determined based on the average value of the similarity metric value between the reference precoding matrix and the matrices in the candidate matrix set.

[0195] 8-4, the value of the second index is determined based on a weighted average value of the similarity metric values ​​between the reference precoding matrix and the matrices in the candidate matrix set.

[0196] 8-5, the value of the second index is determined based on the similarity metric value between the reference precoding matrix and the matrices in the target matrix subset.

[0197] In one example, in the above 8-5, the method for determining the value of the second index based on the similarity metric value between the reference precoding matrix and the matrix in the target matrix subset may include at least one of the following 8-5-1 to 8-5-4.

[0198] 8-5-1, the value of the second index is determined based on the maximum value of the similarity metric value between the reference precoding matrix and the matrices in the target matrix subset.

[0199] 8-5-2, the value of the second index is determined based on the minimum value of the similarity metric value between the reference precoding matrix and the matrices in the target matrix subset.

[0200] 8-5-3, the value of the second index is determined based on the average value of the similarity metric value between the reference precoding matrix and the matrices in the target matrix subset.

[0201] 8-5-4, the value of the second index is determined based on a weighted average value of the similarity metric values ​​between the reference precoding matrix and the matrices in the target matrix subset.

[0202] Method 5: The value of the second index is determined based on candidate values ​​corresponding to the second matrix.

[0203] In some embodiments, the method for determining the value of the second index based on the candidate values ​​corresponding to the second matrix includes at least one of the following 9-1 and 9-2.

[0204] 9-1. Using the candidate value as input, determine the value of the second index.

[0205] The value of the second index may be a candidate value, or the value of the second index may be the sum, difference, product, or quotient of the candidate value and the second preset value. Also, the value of the second index may be a linear function or a first-order function of the candidate value that corresponds to the second matrix.

[0206] 9-2: Determine the second index using the candidate value and the similarity between the first matrix and the candidate matrix set of the second matrix as input. Specifically, you may refer to 5-1 to 5-5 and Tables 1 to 4 above, but detailed description will be omitted here.

[0207] Method 6: The second index is determined based on the processing method of the reference precoding matrix.

[0208] The processing method is for processing the information of the reference precoding matrix as information to be reported to the second communication node.

[0209] In one embodiment, the reference precoding matrix is ​​a first matrix, and the first communication node transmits information for indicating the first matrix to the second communication node. The information for indicating the first matrix includes processing the information of the first matrix by the first communication node as the information of the first matrix to be transmitted to the second communication node. The second indicator is determined based on a processing scheme.

[0210] In the information for indicating the first matrix transmitted by the first communication node to the second communication node, the first communication node needs to process the information of the first matrix among the information as the information of the first matrix to be transmitted to the second communication node, for example, by converting the information of the first matrix into bit information, compressing the information of the first matrix as the information to be transmitted to the second communication node, or extracting the information of the first matrix to obtain the information to be transmitted to the second communication node.

[0211] In one embodiment, the method in which the second indicator is determined based on the processing method includes at least one of the following 10-1 and 10-2.

[0212] 10-1, determined based on the number of bits used for the information of the first matrix transmitted to the second communication node.

[0213] 10-2, is determined based on the model used for processing the second communication node.

[0214] In one example, the first communication node may determine the second indicator based on the model or information about the model used.

[0215] The model has a function of determining a new matrix / matrix information based on an input matrix or matrix information. For example, the model may be, but is not limited to, a machine learning model, a neural network model, or a multilayer perceptron model. The model information includes one or more of the following: a model identification number, a model function, the number of model layers, the amount of parameters in the model, the amount of calculation in the model, etc. For models according to subsequent embodiments, the description herein may be referred to.

[0216] Based on this embodiment, the first communication node can flexibly and accurately determine the value of the second index from multiple dimensions.

[0217] In the embodiment of the present disclosure, the first communication node may use the first matrix or the second matrix as the reference precoding matrix.

[0218] The first matrix may be a right eigenvector of channel coefficients obtained by the first communication node from the measured signal.

[0219] In one example, when the first matrix is ​​used as a reference precoding matrix, the value of the first index may be a non-negative number, and the value of the channel quality index may be the difference between the value of the first index and the value of the second index.

[0220] In another example, when the first matrix is ​​used as a reference precoding matrix, the value of the second index may be a non-positive number, and the channel quality indicated by the channel quality index may be the sum of the value of the first index and the value of the second index.

[0221] In another example, when the first matrix is ​​a reference precoding matrix, the second matrix may include at least one of the following 11-1 to 11-9.

[0222] 11-1, Reconstruction precoding matrix.

[0223] The reconfigured precoding matrix is ​​a precoding matrix that has been reconfigured based on the information of the precoding matrix that the second communication node has transmitted to the first communication node.

[0224] 11-2, the precoding matrix with the highest similarity to the reconstructed precoding matrix.

[0225] 11-3, the precoding matrix with the least similarity to the reconstructed precoding matrix.

[0226] 11-4, a precoding matrix whose similarity to the reconstructed precoding matrix exceeds a first threshold.

[0227] The first threshold is set as needed, but is not limited to this.

[0228] 11-5, a precoding matrix whose similarity to the reconstructed precoding matrix is ​​below a second threshold.

[0229] The second threshold is set as needed, but is not limited to this.

[0230] 11-6, the set of first matrices whose similarity to the reconstructed precoding matrix exceeds the third threshold.

[0231] The third threshold is set as needed, but is not limited to this.

[0232] 11-7, a subset of the set of first matrices whose similarity to the reconstructed precoding matrix exceeds a third threshold.

[0233] 11-8, the set of first matrices whose similarity to the reconstructed precoding matrix is ​​below the fourth threshold.

[0234] The fourth threshold is set as needed, but is not limited thereto.

[0235] 11-9, a subset of the set of first matrices whose similarity to the reconstructed precoding matrix is ​​below a fourth threshold.

[0236] Based on this embodiment, the first communication node can accurately determine the first matrix and the second matrix based on the measurement signals.

[0237] In the embodiment of the present disclosure, the method for determining the second matrix may include any one of the following 12-1 to 12-4.

[0238] 12-1, determining a second matrix based on a preset calculation method;

[0239] The predetermined calculation method may be one set by default by the first communication node, one determined based on a protocol predetermined by the first communication node, one set in the first communication node by the second communication node or the third communication node, or one obtained by the first communication node from the second communication node or the third communication node, but is not limited to these.

[0240] In one example, the preset calculation method refers to obtaining the second matrix by a lookup table method or a model method using the first matrix or information on the first matrix as an input.

[0241] For example, the lookup table method refers to querying a predetermined table for a first matrix or matrix information corresponding to the first matrix or information on the first matrix, and determining a second matrix based on the query result. If the query result is a matrix, the first communication node may use the matrix as the second matrix. If the query result is matrix information, the first communication node may determine a second matrix based on the matrix information. The predetermined table may include correspondences between multiple matrices or correspondences between information on multiple matrices.

[0242] Also, for example, obtaining the second matrix by the model method refers to inputting the first matrix or information about the first matrix into a model to obtain the second matrix.

[0243] 12-2. The second communication node or the third communication node sets the second matrix.

[0244] Setting by the second communication node or the third communication node may mean that the second communication node or the third communication node instructs the first communication node, or may mean that the first communication node obtains it from the second communication node or the third communication node.

[0245] In one example, the second communication node or the third communication node may transmit instruction information to the first communication node. The instruction information may be for instructing the second matrix, for instructing information about the second matrix, or for instructing a selection criterion for the second matrix. For the selection criterion for the second matrix, the following description of 12-4 may be referred to, but a detailed description thereof will be omitted here.

[0246] 12-3. Set the second matrix as the default.

[0247] Setting by default may be described as pre-setting or obtaining based on a pre-set protocol.

[0248] 12-4, determine the second matrix from the set of candidate matrices.

[0249] The candidate matrix set may include one or more matrices, which may be set by default by the first communication node, set in the first communication node by the second or third communication node, or obtained by the first communication node from the second or third communication node.

[0250] In one embodiment, the method for determining the second matrix from the set of candidate matrices includes selecting a matrix from the set of candidate matrices that satisfies a required similarity to the first matrix as the second matrix (see Method 1 for details), or determining the second matrix from the set of candidate matrices based on information indicating the selection of the second matrix (see Method 2 for details).

[0251] The information instructing the selection of the second matrix includes at least one of an index of the second matrix, characteristic information of the second matrix, and a selection criterion for the second matrix.

[0252] Method 1: The first communication node may select, from the set of candidate matrices, a matrix whose similarity to the first matrix satisfies a requirement as the second matrix, including the first communication node making the decision based on the similarity between the first matrix and the second matrix.

[0253] For example, the first communication node may select as the second matrix a matrix from the set of candidate matrices that has the highest similarity to the first matrix.

[0254] Also, for example, the first communication node may select, as the second matrix, a matrix that has the lowest similarity to the first matrix from the set of candidate matrices.

[0255] Method 2: The selection criteria for the second matrix may include a similarity metric value with a specified matrix (for convenience of explanation, referred to as a designated similarity metric value) and a range of similarity metric values ​​with a specified matrix (for convenience of explanation, referred to as a designated range).

[0256] Based on this selection criterion, the second matrix may be a matrix among the candidate matrices whose similarity metric value with the indicator matrix is ​​closest to the indicator similarity metric value. Alternatively, the second matrix may be a matrix among the candidate matrices whose similarity metric value with the indicator matrix is ​​equal to or greater than the indicator similarity metric value. Alternatively, the second matrix may be a matrix among the candidate matrices whose similarity metric value with the indicator matrix is ​​equal to or less than the indicator similarity metric value. Alternatively, the second matrix may be a matrix among the candidate matrices whose similarity metric value with the indicator matrix is ​​within the indicator range.

[0257] The instruction matrix may be, but is not limited to, the first matrix or any other matrix.

[0258] Based on this embodiment, the first communication node can accurately and flexibly determine the second matrix from multiple dimensions.

[0259] In an embodiment, as shown in FIG. 4, the channel quality indication method according to the embodiment of the present disclosure further includes the following steps:

[0260] S401: A first communication node transmits information for indicating a first matrix to a second communication node.

[0261] The information for indicating the first matrix is ​​used to expect the second communication node to restore the first matrix. That is, the second communication node is used to expect to obtain a reconstructed precoding matrix (first matrix) based on the received information for indicating the first matrix. For example, the information for indicating the first matrix may be the first matrix, information about the first matrix, information related to the first matrix, etc. The first matrix may be the above-mentioned first matrix.

[0262] In addition, in an embodiment of the present disclosure, the first communication node may transmit information for indicating the first precoding matrix before the above-mentioned S301, or may transmit information for indicating the first precoding matrix after the above-mentioned S301 and before S302, or may transmit the information for indicating the first precoding matrix and the channel quality indicator synchronously to the second communication node.

[0263] When the first communication node synchronously transmits the information for indicating the first precoding matrix and the channel quality indicator to the second communication node, the information for indicating the first precoding matrix and the channel quality indicator may be encapsulated in the same information or may be separate information, but is not limited to this.

[0264] In one embodiment, when the first communication node transmits information of the first matrix to the second communication node and the reference precoding matrix is ​​the first matrix, the value of the second index is a non-negative number, and the value of the channel quality index is the difference between the value of the first index and the value of the second index.

[0265] In one example, when the first matrix and the reference precoding matrix are the same matrix, the channel quality indicated by the channel quality indicator changes as the value of the first indicator decreases, thereby obtaining the channel quality indicated by the accurate channel quality indicator.

[0266] In one embodiment, a first communication node transmits information of a first matrix to a second communication node, and it is assumed that the second communication node transmits signals or data over a wireless channel using multiple antennas and the first matrix. Based on this assumption, the first communication node calculates a first index, the value of the second index is a non-negative number, and the channel quality indicated by the channel quality index is the difference between the value of the first index and the value of the second index.

[0267] In another embodiment, in an embodiment of the present disclosure, when a first communication node transmits information of a first matrix to a second communication node, and the first matrix is ​​a reference precoding matrix, the value of the second index is a non-positive number, and the channel quality indicated by the channel quality index is determined based on the sum of the value of the first index and the value of the second index.

[0268] In another embodiment, in an embodiment of the present disclosure, when information of a first matrix is ​​transmitted to a second communication node and the second matrix is ​​a reference precoding matrix, the value of the second index is a non-negative number, and the channel quality indicated by the channel quality index can be determined based on the sum of the value of the first index and the value of the second index.

[0269] For example, it is assumed that a first communication node transmits information of a first matrix to a second communication node, and the second communication node transmits a signal or data via wireless communication using multiple antennas and a second matrix. Based on this assumption, the first communication node calculates a first index. The second index is a non-negative number. The channel quality indicated by the channel quality index is the sum of the value of the first index and the value of the second index.

[0270] Also, for example, the first communication node assumes that the second communication node transmits signals or data through a wireless channel using multiple antennas and a second matrix. Based on this assumption, the first communication node calculates a first index and transmits information of the first matrix to the second communication node. The value of the second index is a non-negative number. The channel quality indicated by the channel quality index is the sum of the value of the first index and the value of the second index.

[0271] In some embodiments, in an embodiment of the present disclosure, when a first communication node transmits information of the first matrix to a second communication node and the second matrix is ​​a reference precoding matrix, the value of the second index is a non-integer number, and the channel quality indicated by the channel quality index is determined based on the difference between the value of the first index and the value of the second index.

[0272] For example, assume that a first communication node transmits information of a first matrix to a second communication node, and the second communication node transmits information or data over a wireless channel using multiple antennas and a second matrix. Based on this assumption, the first communication node calculates a first index. The value of the second index is a non-integer number, and the channel quality indicated by the channel quality index is the difference between the value of the first index and the value of the second index.

[0273] Furthermore, for example, the first communication node assumes that the second communication node transmits signals or data over a wireless channel using multiple antennas and a second matrix. Based on this assumption, the first communication node calculates a first index and transmits information of the first matrix to the second communication node. The value of the second index is a non-positive number, and the channel quality indicated by the channel quality index is the difference between the value of the first index and the value of the second index.

[0274] S402, the second communication node receives information for indicating the first matrix from the first communication node.

[0275] According to this embodiment, after receiving information indicating the first matrix from the first communication node, the second communication node can restore the reference precoding matrix from the information, that is, obtain a reconstructed precoding matrix, and based on this reconstructed precoding matrix, the second communication node can accurately determine whether the reconstructed precoding matrix matches the reconstructed CQI.

[0276] In one embodiment, in the above-mentioned S301, the method for the first communication node to send the channel quality indicator to the second communication node may include a step in which the first communication node sends the channel quality indicator to the second communication node based on the configuration information of the first communication node.

[0277] In one example, after the first communication node receives configuration information from the second communication node, the first communication node may transmit a channel quality indicator to the second communication node.

[0278] In this example, the configuration information may trigger the first communications node to send a channel quality indicator to the second communications node.

[0279] The channel quality indicator may be generated before the first communication node receives the configuration information, or may be generated after the first communication node receives the configuration information of the second communication node.

[0280] In another example, a first communication node receives configuration information from a second communication node, the configuration information including a format used to report a channel quality indicator, and the first communication node transmits the channel quality indicator to the second communication node in accordance with the format.

[0281] In another example, a first communication node receives configuration information from a second communication node, the configuration information including radio resources to be used for reporting a channel quality indicator, and the first communication node transmits the channel quality indicator to the second communication node on the radio resources.

[0282] In another example, a first communication node receives configuration information from a second communication node, the configuration information including a time for reporting a channel quality indicator, and the first communication node transmits the channel quality indicator to the second communication node at that time.

[0283] In another example, a first communication node receives configuration information from a second communication node, determines a channel quality indicator based on the configuration information, and transmits the channel quality indicator to the second communication node.

[0284] The first communication node determines a channel quality indicator based on the configuration information, for example, determines a wireless channel to be measured or a time-frequency resource occupied by the wireless channel based on the configuration information, and obtains a channel quality indicator of the wireless channel.

[0285] The first communication node determines the channel quality indicator based on the configuration information, for example, the first communication node determines a wireless channel to be measured or a time-frequency resource occupied by the wireless channel based on the configuration information, and obtains a channel quality indicator for the wireless channel associated with the wireless channel, or obtains a channel quality indicator for the time-frequency resource associated with the time-frequency resource occupied by the wireless channel.

[0286] Based on this embodiment, the first communication node accurately determines, based on the configuration information sent by the second communication node, which wireless channel to determine the channel quality indicator based on, or which time-frequency resource occupied by which wireless channel to determine the channel quality indicator based on, so as to ensure that the second communication node obtains an accurate channel quality indicator.

[0287] The inventions of the above-described embodiments of the present disclosure may all be combined unless they are inconsistent.

[0288] In the embodiments of the present disclosure, the channel quality indicator may be divided into functional modules or units based on the above-described exemplary method. For example, the channel quality indicator may be divided into functional modules or units according to their respective functions, or two or more functions may be integrated into a single processing module. Such an integrated module may be implemented in the form of hardware or software functional modules or units. The division of modules or units in the embodiments of the present disclosure is conceptual and merely an example of logical functional division. In actual implementation, other division methods may be adopted.

[0289] When divided into functional modules according to their respective functions, Fig. 5 shows a schematic diagram of a channel quality indication device 50, which may be used to perform the functions related to the first communication node in the above-mentioned embodiment. The channel quality indication device 50 shown in Fig. 5 may include a transmitting unit 501.

[0290] The transmitting unit 501 is used for transmitting a channel quality indicator to a second communication node, the channel quality indicator including a first indicator and a second indicator, the first indicator being used to indicate a channel quality matching a reference precoding matrix.

[0291] In one example, the channel quality indicator satisfies at least one of the following relationships: the channel quality indicated by the channel quality indicator is determined based on the sum of the value of the first index and the value of the second index; the channel quality indicated by the channel quality indicator is determined based on the difference between the value of the first index and the value of the second index; the channel quality indicated by the channel quality indicator is determined based on the product of the value of the first index and the value of the second index; the channel quality indicated by the channel quality indicator is determined based on the quotient of the value of the first index and the value of the second index; and the channel quality indicated by the channel quality indicator is determined based on the remainder of the value of the first index and the value of the second index.

[0292] In one example, the value of the second index is determined based on a similarity metric value of the first matrix and the second matrix, one of the first matrix and the second matrix being the reference precoding matrix.

[0293] In one example, the similarity metric values ​​of the first and second matrices correspond to the values ​​of the second index.

[0294] In one example, the correspondence relationship between the similarity metric values ​​of the first matrix and the second matrix and the value of the second index may be a monotonically increasing or decreasing relationship.

[0295] In one example, a method for determining the correspondence between the similarity metric values ​​of a first matrix and a second matrix and the value of the second index includes at least one of the following steps: a step in which a first communication node determines the correspondence between the similarity metric values ​​of the first matrix and the second matrix and the value of the second index; a step in which a second communication node or a third communication node sets the correspondence between the similarity metric values ​​of the first matrix and the second matrix and the value of the second index; and a step in which the correspondence between the similarity metric values ​​of the first matrix and the second matrix and the value of the second index is set by default.

[0296] In one example, when the first matrix is ​​a reference precoding matrix, the second matrix includes at least one of a reconstructed precoding matrix which is a precoding matrix reconstructed based on information of a precoding matrix transmitted by a first communication node to a second communication node, a precoding matrix which is most similar to the reconstructed precoding matrix, a precoding matrix which is least similar to the reconstructed precoding matrix, a precoding matrix whose similarity to the reconstructed precoding matrix is ​​greater than a first threshold, and a precoding matrix whose similarity to the reconstructed precoding matrix is ​​less than a second threshold.

[0297] In one example, the method for determining the second matrix may include any one of the following steps: determining the second matrix based on a preset calculation method; setting the second matrix by the second communication node or the third communication node; setting the second matrix as a default; and determining the second matrix from a set of candidate matrices.

[0298] In one example, the method for determining the preset calculation method includes any one of the steps of setting by the second communication node or the third communication node and setting by default.

[0299] In one example, the preset calculation method includes one of: inputting a first matrix or information about the first matrix into a preset lookup table to obtain a second matrix, where the preset lookup table includes correspondence relationships between multiple matrices; or inputting the first matrix or information about the first matrix into a model to obtain a second matrix.

[0300] In one example, determining the second matrix from the set of candidate matrices includes selecting a matrix from the set of candidate matrices that satisfies a similarity requirement with the first matrix as the second matrix, or determining the second matrix from the set of candidate matrices based on information indicating the selection of the second matrix.

[0301] In one example, the information instructing the selection of the second matrix includes at least one of an index of the second matrix, characteristic information of the second matrix, and a selection criterion for the second matrix.

[0302] In one example, the value of the second index is determined based on a candidate value corresponding to a second matrix in the set of candidate matrices.

[0303] In one example, the manner in which the value of the second index is determined based on the candidate value corresponding to the second matrix in the candidate matrix set may include any one of: the value of the second index is equal to the candidate value corresponding to the second matrix; the value of the second index is determined based on the candidate value corresponding to the second matrix and a similarity metric value between the reference precoding matrix and the second matrix; or the value of the second index is determined based on the candidate value corresponding to the second matrix and a first preset value.

[0304] In one example, the value of the second index is determined based on a similarity metric value between the reference precoding matrix and the matrices in the candidate matrix set.

[0305] In one example, the method for determining the value of the second index based on the similarity metric value between the reference precoding matrix and the matrix in the candidate matrix set may include at least one of: determining the value of the second index based on a maximum similarity metric value between the reference precoding matrix and the matrix in the candidate matrix set; determining the value of the second index based on a minimum similarity metric value between the reference precoding matrix and the matrix in the candidate matrix set; determining the value of the second index based on an average similarity metric value between the reference precoding matrix and the matrix in the candidate matrix set; determining the value of the second index based on a weighted average similarity metric value between the reference precoding matrix and the matrix in the candidate matrix set; and determining the value of the second index based on the similarity metric value between the reference precoding matrix and the matrix in a target matrix subset, wherein the target matrix subset is a subset of the candidate matrix set.

[0306] In one example, the method for determining the value of the second index based on the similarity metric value between the reference precoding matrix and the matrix in the target matrix subset may include at least one of: determining the value of the second index based on the maximum value of the similarity metric value between the reference precoding matrix and the matrix in the target matrix subset; determining the value of the second index based on the minimum value of the similarity metric value between the reference precoding matrix and the matrix in the target matrix subset; determining the value of the second index based on the average value of the similarity metric value between the reference precoding matrix and the matrix in the target matrix subset; and determining the value of the second index based on a weighted average value of the similarity metric value between the reference precoding matrix and the matrix in the target matrix subset.

[0307] In one example, the value of the second index is determined based on the candidate values ​​corresponding to the target matrix subset in the candidate matrix set.

[0308] In one example, the value of the second index is a candidate value corresponding to the target matrix subset, or the value of the second index is determined based on the candidate value corresponding to the target matrix subset and a second preset value, or the value of the second index is determined based on the candidate value corresponding to the target matrix subset and a similarity metric value between the reference precoding matrix and the matrices in the target matrix subset.

[0309] In one example, the value of the second index is determined based on a processing method of the reference precoding matrix, wherein the processing method is for processing information of the reference precoding matrix as information to be reported to the second communication node.

[0310] In one example, when information of a first matrix is ​​transmitted to a second communication node and the first matrix is ​​a reference precoding matrix, the value of the second index is a non-negative number, and the channel quality indicated by the channel quality index is determined based on the difference between the value of the first index and the value of the second index.

[0311] In one example, when information of the first matrix is ​​transmitted to the second communication node and the first matrix is ​​a reference precoding matrix, the value of the second index is a non-positive number, and the channel quality indicated by the channel quality index is determined based on the sum of the value of the first index and the value of the second index.

[0312] In one example, when information of the first matrix is ​​transmitted to the second communication node and the second matrix is ​​a reference precoding matrix, the value of the second index is a non-negative number, and the channel quality indicated by the channel quality index is determined based on the sum of the value of the first index and the value of the second index.

[0313] In one example, when information of the first matrix is ​​transmitted to the second communication node and the second matrix is ​​a reference precoding matrix, the value of the second index is a non-positive number, and the channel quality indicated by the channel quality index is determined based on the difference between the value of the first index and the value of the second index.

[0314] In one example, the first matrix is ​​a right eigenvector of channel coefficients obtained by the first communication node measuring a reference signal.

[0315] In another implementation, the transmitting unit 501 in FIG. 5 can be replaced by a communication interface, which can integrate the functionality of the transmitting unit 501.

[0316] Furthermore, if the sending unit 501 is replaced by a processor, the channel quality indication device 50 according to the embodiment of the present disclosure may be the channel quality indication device shown in FIG.

[0317] When the functional modules are divided according to each function, Fig. 6 shows a schematic configuration diagram of a channel quality indication device 60, which may be used to perform the functions of the second communication node in the above-mentioned embodiment. The channel quality indication device 60 shown in Fig. 6 may include a receiving unit 601.

[0318] The receiving unit 601 is used to receive a channel quality indicator from a first communication node, where the channel quality indicator includes a first indicator and a second indicator, and the first indicator is used to indicate a channel quality matching a reference precoding matrix.

[0319] In one example, the channel quality indicator satisfies at least one of the following relationships: the channel quality indicated by the channel quality indicator is determined based on the sum of the value of the first index and the value of the second index; the channel quality indicated by the channel quality indicator is determined based on the difference between the value of the first index and the value of the second index; the channel quality indicated by the channel quality indicator is determined based on the product of the value of the first index and the value of the second index; the channel quality indicated by the channel quality indicator is determined based on the quotient of the value of the first index and the value of the second index; and the channel quality indicated by the channel quality indicator is determined based on the remainder of the value of the first index and the value of the second index.

[0320] In one example, the value of the second index is determined based on a similarity metric value of the first matrix and the second matrix, one of the first matrix and the second matrix being the reference precoding matrix.

[0321] In one example, the similarity metric values ​​of the first and second matrices correspond to the values ​​of the second index.

[0322] In one example, the correspondence between the similarity metric values ​​of the first and second matrices and the values ​​of the second index may include a monotonically increasing or decreasing relationship.

[0323] In one example, a method for determining a correspondence between the similarity metric values ​​of a first matrix and a second matrix and the value of a second index includes at least one of the following steps: a step in which a first communication node determines a correspondence between the similarity metric values ​​of the first matrix and the second matrix and the value of the second index; a step in which a second communication node or a third communication node sets a correspondence between the similarity metric values ​​of the first matrix and the second matrix and the value of the second index; and a step in which a default correspondence between the similarity metric values ​​of the first matrix and the second matrix and the value of the second index is set.

[0324] In one example, the second matrix includes at least one of a reconstructed precoding matrix which is a precoding matrix reconstructed based on information of the precoding matrix from the first communication node, a precoding matrix which is most similar to the reconstructed precoding matrix, a precoding matrix which is least similar to the reconstructed precoding matrix, a precoding matrix whose similarity to the reconstructed precoding matrix is ​​greater than a first threshold, and a precoding matrix whose similarity to the reconstructed precoding matrix is ​​less than a second threshold.

[0325] In one example, the method for determining the second matrix may include any one of the following steps: determining the second matrix based on a preset calculation method; setting the second matrix by the second communication node or the third communication node; setting the second matrix as a default; and determining the second matrix from a set of candidate matrices.

[0326] In one example, the method for determining the preset calculation method includes a step of setting by the second communication node or the third communication node, and a step of setting by default.

[0327] In one example, the predetermined calculation method is to input the first matrix or information of the first matrix into a predetermined lookup table to obtain the second matrix, and the predetermined lookup table includes correspondence relationships between multiple matrices; or This involves inputting the first matrix or information from the first matrix into the model to obtain the second matrix.

[0328] In one example, the first communication node determining the second matrix from the set of candidate matrices includes the first communication node selecting a matrix from the set of candidate matrices as the second matrix whose similarity to the first matrix meets a requirement, or the first communication node determining the second matrix from the set of candidate matrices based on information instructing the selection of the second matrix.

[0329] In one example, the information instructing the selection of the second matrix includes at least one of an index of the second matrix, characteristic information of the second matrix, and a selection criterion for the second matrix.

[0330] In one example, the value of the second index is determined based on a candidate value corresponding to a second matrix in the set of candidate matrices.

[0331] In one example, the manner in which the value of the second index is determined based on the candidate value corresponding to the second matrix in the candidate matrix set may include any one of: the value of the second index is equal to the candidate value corresponding to the second matrix; the value of the second index is determined based on the candidate value corresponding to the second matrix and a similarity metric value between the reference precoding matrix and the second matrix; or the value of the second index is determined based on the candidate value corresponding to the second matrix and a first preset value.

[0332] In one example, the value of the second index is determined based on a similarity metric value between the reference precoding matrix and the matrices in the candidate matrix set.

[0333] In one example, the method for determining the value of the second index based on the similarity metric value between the reference precoding matrix and the matrix in the candidate matrix set may include at least one of: determining the value of the second index based on a maximum similarity metric value between the reference precoding matrix and the matrix in the candidate matrix set; determining the value of the second index based on a minimum similarity metric value between the reference precoding matrix and the matrix in the candidate matrix set; determining the value of the second index based on an average similarity metric value between the reference precoding matrix and the matrix in the candidate matrix set; determining the value of the second index based on a weighted average similarity metric value between the reference precoding matrix and the matrix in the candidate matrix set; and determining the value of the second index based on the similarity metric value between the reference precoding matrix and the matrix in a target matrix subset, wherein the target matrix subset is a subset of the candidate matrix set.

[0334] In one example, the method for determining the value of the second index based on the similarity metric value between the reference precoding matrix and the matrix in the target matrix subset may include at least one of: determining the value of the second index based on the maximum value of the similarity metric value between the reference precoding matrix and the matrix in the target matrix subset; determining the value of the second index based on the minimum value of the similarity metric value between the reference precoding matrix and the matrix in the target matrix subset; determining the value of the second index based on the average value of the similarity metric value between the reference precoding matrix and the matrix in the target matrix subset; and determining the value of the second index based on a weighted average value of the similarity metric value between the reference precoding matrix and the matrix in the target matrix subset.

[0335] In one example, the value of the second index is determined based on the candidate values ​​corresponding to the target matrix subset in the candidate matrix set.

[0336] In one example, the value of the second index is a candidate value corresponding to the target matrix subset, or the value of the second index is determined based on the candidate value corresponding to the target matrix subset and a second preset value, or the value of the second index is determined based on the candidate value corresponding to the target matrix subset and a similarity metric value between the reference precoding matrix and the matrices in the target matrix subset.

[0337] In one example, the value of the second index is determined based on a processing method of the reference precoding matrix, where the processing method is for processing information of the reference precoding matrix as information to be reported from the first communication node to the second communication node.

[0338] In one example, when a first communication node transmits information of a first matrix to a second communication node and the first matrix is ​​a reference precoding matrix, the value of the second index is a non-negative number, and the channel quality indicated by the channel quality index is determined based on the difference between the value of the first index and the value of the second index.

[0339] In one example, when a first communication node transmits information of a first matrix to a second communication node and the first matrix is ​​a reference precoding matrix, the value of the second index is a non-positive number, and the channel quality indicated by the channel quality index is determined based on the sum of the value of the first index and the value of the second index.

[0340] In one example, when a first communication node transmits information of a first matrix to a second communication node and the second matrix is ​​a reference precoding matrix, the value of the second index is a non-negative number, and the channel quality indicated by the channel quality index is determined based on the sum of the value of the first index and the value of the second index.

[0341] In one example, when a first communication node transmits information of a first matrix to a second communication node and the second matrix is ​​a reference precoding matrix, the value of the second index is a non-positive number, and the channel quality indicated by the channel quality index is determined based on the difference between the value of the first index and the value of the second index.

[0342] In one example, the first matrix is ​​a right eigenvector of channel coefficients obtained by the first communication node measuring a reference signal.

[0343] As another implementation, the receiving unit 601 in FIG. 6 can be replaced by a communication interface, which can integrate the functions of the receiving unit 601.

[0344] Furthermore, in one example, when replaced with a communication interface, the channel quality indicator 60 according to the embodiment of the present disclosure may be the channel quality indicator shown in FIG.

[0345] An embodiment of the present disclosure further provides a computer-readable storage medium. All or part of the flow of the above-described method embodiments can be realized by instructing associated hardware with a computer program, and the program can be stored in the above-described computer-readable storage medium. When the program is executed, it can include the flow of each of the above-described method embodiments. The computer-readable storage medium may be an internal storage unit of the channel quality indicating device (including the data transmitting side and / or data receiving side) of any of the above-described embodiments, such as a hard disk or memory of the channel quality indicating device. The computer-readable storage medium may also be an external storage device of the above-described terminal device, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc., attached to the above-described terminal device. Furthermore, the computer-readable storage medium may include both an internal storage unit and an external storage device of the above-described channel quality indicating device. The computer-readable storage medium is used to store the above-described computer program and other programs and data required for the above-described channel quality indicating device. The computer-readable storage medium may also be used to temporarily store data that has already been output or data to be output. The computer-readable storage medium mentioned above includes a non-transitory computer-readable storage medium.

[0346] Note that the terms "first," "second," etc. in the specification, claims, and drawings of this disclosure are intended to distinguish between different objects and not to describe a specific order. Furthermore, the terms "comprise," "have," and their variations are not intended to be exclusive inclusive. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the steps or units listed, and may optionally include additional steps or units that are not listed, or may optionally include other steps or units that are specific to the process, method, product, or device.

[0347] From the above description of the embodiments, those skilled in the art will understand that the above division of functional modules is described as an example for the sake of convenience and clarity of explanation, and in actual application, the above functions can be allocated to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to achieve all or part of the above functions.

[0348] It should be understood that in some embodiments of the present disclosure, the disclosed apparatus and method may be realized in other ways. For example, the above-described apparatus embodiments are merely conceptual, and the division of modules or units is merely an example of logical functional division. In actual implementation, other division methods may be used, such as combining multiple units or components, integrating them into another apparatus, or omitting or not implementing some features. Furthermore, the shown and discussed mutual couplings or direct couplings or communication connections may be indirect couplings or communication connections through several interfaces, devices, or units, and may be in electrical, mechanical, or other forms.

[0349] The units described as separate components may or may not be physically separated. The components shown as units may be one physical unit or multiple physical units, i.e., located in one place or distributed across multiple different locations. Depending on actual needs, some or all of the units may be selected to achieve the objectives of the invention in the embodiments.

[0350] Furthermore, each functional unit in each embodiment of the present disclosure may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. Such an integrated unit may be realized in the form of hardware or in the form of a software functional unit.

[0351] When the integrated unit is realized in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the invention according to the embodiments of the present disclosure may be embodied essentially, or as a contribution to the prior art, or all or a part of the invention, in the form of a software product. This software product is stored in a storage medium and includes a plurality of instructions that cause a device (such as a microcontroller or chip) or a processor to execute all or a part of the steps of the method according to each embodiment of the present disclosure. The storage medium includes various media capable of storing program code, such as a USB memory, a removable hard disk, a ROM, a RAM, a magnetic disk, and an optical disk.

[0352] Those skilled in the art will appreciate that the scope of the present disclosure is not limited to the particular examples described above, and that modifications and substitutions can be made to specific elements of the examples without departing from the spirit of the present application. The scope of the present disclosure is limited by the claims.

Claims

1. 1. A channel quality indication method, said method being applied in a first communication node, transmitting a channel quality indicator to a second communication node, the channel quality indicator comprising a first indicator and a second indicator, the first indicator being used to indicate a channel quality matching a reference precoding matrix; Channel quality indication method.

2. a value of the second index is determined based on a similarity metric value of a first matrix and a second matrix, one of the first matrix and the second matrix being the reference precoding matrix; The method of claim 1.

3. a similarity metric value between the first matrix and the second matrix has a correspondence relationship with a value of the second index; The method of claim 2.

4. a correspondence relationship between the similarity metric values ​​of the first matrix and the second matrix and the value of the second index includes a monotonically increasing relationship or a monotonically decreasing relationship; The method of claim 3.

5. A method for determining a correspondence between the similarity metric values ​​of the first matrix and the second matrix and the value of the second index includes the steps of: the first communication node determining a correspondence between similarity metric values ​​of the first matrix and the second matrix and values ​​of the second index; a step in which the second communication node or the third communication node sets a correspondence relationship between a similarity metric value of the first matrix and the second matrix and a value of the second index; and setting a default correspondence between the similarity metric values ​​of the first matrix and the second matrix and the value of the second index. The method of claim 3.

6. When the first matrix is ​​the reference precoding matrix, the second matrix is a reconstructed precoding matrix, which is a precoding matrix reconstructed based on information of a precoding matrix transmitted by the first communication node to the second communication node; a precoding matrix having the highest similarity to the reconstructed precoding matrix among a set of candidate matrices; a precoding matrix from a set of candidate matrices that has the lowest similarity to the reconstructed precoding matrix; a precoding matrix in a candidate matrix set, the precoding matrix having a similarity to the reconstructed precoding matrix greater than a first threshold; The candidate matrix set includes at least one precoding matrix whose similarity to the reconstructed precoding matrix is ​​less than a second threshold. The method of claim 2.

7. The method for determining the second matrix comprises: determining the second matrix based on a predetermined calculation method; the second communication node or the third communication node setting the second matrix; setting the second matrix as a default; determining the second matrix from a set of candidate matrices; The method of claim 2.

8. The step of determining the second matrix from the set of candidate matrices comprises: selecting, as the second matrix, a matrix from the set of candidate matrices that satisfies a similarity requirement with respect to the first matrix; or determining the second matrix from the set of candidate matrices based on information indicating selection of the second matrix; The method of claim 7.

9. the information instructing the selection of the second matrix includes at least one of an index of the second matrix, characteristic information of the second matrix, and a selection criterion for the second matrix; The method of claim 8.

10. the value of the second index is determined based on a candidate value corresponding to a second matrix in a set of candidate matrices. The method of claim 1.

11. The value of the second index is determined based on a candidate value corresponding to a second matrix in the candidate matrix set. the value of the second index is equal to the candidate value corresponding to the second matrix; a value of the second index is determined based on a candidate value corresponding to the second matrix and a similarity metric value between the reference precoding matrix and the second matrix; the value of the second index is determined based on a candidate value corresponding to the second matrix and a first preset value; The method of claim 10.

12. the value of the second index is determined based on a similarity metric value between the reference precoding matrix and a matrix in a set of candidate matrices. The method of claim 1.

13. The value of the second index is determined based on a similarity metric value between the reference precoding matrix and a matrix in a candidate matrix set, the value of the second index is determined based on a maximum value of a similarity metric value between the reference precoding matrix and a matrix in the set of candidate matrices; the value of the second index is determined based on a minimum value of a similarity metric value between the reference precoding matrix and a matrix in the set of candidate matrices; the value of the second indicator is determined based on an average value of similarity metric values ​​between the reference precoding matrix and matrices in the set of candidate matrices; the value of the second indicator is determined based on a weighted average of similarity metric values ​​between the reference precoding matrix and matrices in the candidate matrix set; the value of the second indicator is determined based on a similarity metric value between the reference precoding matrix and matrices in a target matrix subset, the target matrix subset being a subset of the candidate matrix set. The method of claim 12.

14. the value of the second index is determined based on candidate values ​​corresponding to the target matrix subset in the candidate matrix set; The method of claim 1.

15. the value of the second index is a candidate value corresponding to the target matrix subset; or The value of the second index is determined based on a candidate value corresponding to the target matrix subset and a second preset value; or the value of the second index is determined based on candidate values ​​corresponding to the target matrix subset and a similarity metric value between the reference precoding matrix and a matrix in the target matrix subset.

15. The method of claim 14.

16. the value of the second indicator is determined based on a processing method of the reference precoding matrix, and the processing method is for processing information of the reference precoding matrix as information to be reported to the second communication node. The method of claim 1.

17. transmit information of the first matrix to the second communication node, and when the first matrix is ​​the reference precoding matrix, the value of the second index is a non-negative number, and the channel quality indicated by the channel quality index is determined based on a difference between the value of the first index and the value of the second index. The method of claim 2.

18. transmit information of the first matrix to the second communication node, and when the first matrix is ​​the reference precoding matrix, the value of the second index is a non-positive number, and the channel quality indicated by the channel quality index is determined based on the sum of the value of the first index and the value of the second index. The method of claim 2.

19. transmit information of the first matrix to the second communication node, and when the second matrix is ​​the reference precoding matrix, the value of the second index is a non-negative number, and the channel quality indicated by the channel quality index is determined based on the sum of the value of the first index and the value of the second index. The method of claim 2.

20. transmitting information of the first matrix to the second communication node, and when the second matrix is ​​the reference precoding matrix, the value of the second index is a non-positive number, and the channel quality indicated by the channel quality index is determined based on a difference between the value of the first index and the value of the second index; The method of claim 2.

21. The first matrix is ​​a right eigenvector of channel coefficients obtained by the first communication node by measuring a reference signal. The method according to any one of claims 17 to 20.

22. A channel quality indication method, said method being applied in a second communication node, receiving a channel quality indicator from a first communication node, the channel quality indicator comprising a first indicator and a second indicator, the first indicator being used to indicate a channel quality matching a reference precoding matrix; Channel quality indication method.

23. a value of the second index is determined based on a similarity metric value of a first matrix and a second matrix, one of the first matrix and the second matrix being the reference precoding matrix; 23. The method of claim 22.

24. the value of the second index is determined based on a similarity metric value between the reference precoding matrix and a matrix in a set of candidate matrices.

24. The method of claim 23.

25. a first communication node, the first communication node includes a processor, the processor transmits a channel quality indicator to a second communication node, the channel quality indicator includes a first indicator and a second indicator, the first indicator is used to indicate a channel quality matching a reference precoding matrix; A first communication node.

26. a second communication node, the second communication node includes a processor, the processor receives channel quality indicators from the first communication node, the channel quality indicators include a first indicator and a second indicator, the first indicator is used to indicate a channel quality matching a reference precoding matrix; A second communication node.

27. 1. A computer-readable storage medium, comprising: the computer-readable storage medium includes computer instructions; When the computer instructions are executed, they implement the channel quality indication method according to any one of claims 1 to 21 or any one of claims 22 to 24. A computer-readable storage medium.

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