Precoding matrix indication measurement optimization method, device, equipment, medium and product

Abstract

The invention provides a precoding matrix indication measurement optimization method and device, equipment, a medium and a product, and the method comprises the steps: obtaining a plurality of PMI values, downlink RSRP, downlink SINR and downlink MCS rates based on the measurement of base station beams at preset intervals; judging whether the downlink RSRP, the downlink SINR and the downlink MCS rate meet preset conditions or not; when it is determined that the preset condition is met, reducing the support capability level of the CSI-RS port number step by step until the channel transmission effect corresponding to the reduced CSI-RS port number meets the transmission requirement condition; each CSI-RS port number support capability level corresponds to a specific number of CSI-RS ports; and determining a target PMI value from the plurality of PMI values based on the reduced CSI-RS port number support capability level, and reporting the target PMI value and the CSI-RS port number corresponding to the reduced CSI-RS port number support capability level to the base station, so that the accuracy of terminal PMI measurement can be improved.

Description

Technical Field

[0001] The present application relates to the field of wireless communication technology, and in particular to a precoding matrix indication measurement optimization method, device, equipment, medium and product. Background Art

[0002] In the fifth generation mobile communication technology (5G) network, the terminal (User Equipment, UE) reports the received downlink signal quality and wireless environment through the channel state information (CSI); the CSI includes the pre-coding matrix indication (Pre-coding Matrix Indication, PMI), which is used to indicate the index of the pre-coding matrix in the codebook; since 5G adopts narrow beam transmission in the medium and high frequency bands, the accuracy of the beam direction will greatly affect the air interface rate, and the beam direction depends on the terminal PMI measurement. If the PMI measurement is inaccurate, the base station narrow beam transmission direction will be inaccurate, which will ultimately affect the rate.

[0003] In the prior art, a code book containing several precoding matrices can be stored at both the transmitting and receiving ends. Furthermore, the receiver can select one of the precoding matrices based on the estimated channel matrix and a certain criterion, and feed back its index value and quantized CSI to the transmitting end; then, at the next moment, the transmitting end can adopt a new precoding matrix and determine the coding and modulation method for the codeword based on the fed-back quantized CSI.

[0004] However, as the number of CRS-RS ports increases, the PMI measurement becomes less accurate, and the above method supports a large number of CRS-RS ports, resulting in reduced accuracy of PMI measurement of terminal equipment. Summary of the invention

[0005] The present application provides a precoding matrix indication measurement optimization method, device, equipment, medium and product, which are used to solve the problem that the number of CRS-RS ports currently supported is large, resulting in reduced accuracy of PMI measurement of terminal equipment.

[0006] In a first aspect, the present application provides a precoding matrix indication measurement optimization method, the method comprising:

[0007] At every preset period, multiple precoding matrix indication PMI values ​​and downlink channel state parameters are obtained based on the base station beam measurement; the downlink channel state parameters include downlink reference signal received power RSRP, downlink signal to interference plus noise ratio SINR and downlink modulation and coding strategy MCS rate;

[0008] Determine whether the downlink channel state parameter meets a preset condition; the preset condition is that the downlink RSRP is greater than or equal to a first threshold, the downlink SINR is greater than or equal to a second threshold, and the downlink MCS rate is less than or equal to a third threshold;

[0009] When it is determined that the downlink channel state parameter meets the preset conditions, the channel state information reference signal CSI-RS port number support capability level is gradually reduced until the channel transmission effect corresponding to the reduced number of CSI-RS ports meets the transmission requirement conditions; each CSI-RS port number support capability level corresponds to a specific number of CSI-RS ports;

[0010] Based on the reduced CSI-RS port number support capability level, a target PMI value is determined from the multiple PMI values, and the target PMI value and the number of CSI-RS ports corresponding to the reduced CSI-RS port number support capability level are reported to the base station.

[0011] Optionally, determining whether the downlink channel state parameter meets a preset condition includes:

[0012] Determine whether the downlink RSRP is greater than or equal to a first threshold, and whether the downlink SINR is greater than or equal to a second threshold; the first threshold is a threshold determined from a first preset value range based on an application environment of the terminal device; the second threshold is a threshold determined from a second preset value range based on the application environment of the terminal device;

[0013] When it is determined that the downlink RSRP is greater than or equal to the first threshold and the downlink SINR is greater than or equal to the second threshold, it is determined whether the downlink MCS rate is less than or equal to a third threshold; the third threshold is a threshold determined from a third preset value range based on the application environment of the terminal device.

[0014] Optionally, the method further includes:

[0015] When it is determined that the downlink channel state parameter meets the preset condition, a PMI value with the highest repetition rate among the multiple PMI values ​​is determined, and the PMI value with the highest repetition rate is reported to the base station.

[0016] Optionally, the method further includes:

[0017] When it is determined that the downlink channel state parameter meets the preset conditions, multiple PMI value combinations among the multiple PMI values ​​are determined, and the PMI value corresponding to the PMI value combination containing the largest number of PMI values ​​is reported to the base station; the PMI value combination includes multiple repeated and continuous PMI values.

[0018] Optionally, the method further includes:

[0019] When it is determined that the downlink channel state parameters meet the preset conditions, a predetermined number of target PMI value combinations are obtained from the multiple PMI value combinations, the PMI value with the highest repetition rate among the predetermined number of target PMI value combinations is determined, and the PMI value corresponding to the target PMI value combination with the highest repetition rate is reported to the base station.

[0020] Optionally, determining a target PMI value from the multiple PMI values ​​based on the reduced CSI-RS port number support capability level includes:

[0021] Based on the reduced CSI-RS port number support capability level, determine the value range of the PMI value, and determine the target PMI value from the multiple PMI values ​​based on the value range; each CSI-RS port number support capability level corresponds to a value range of the PMI value in a specific interval.

[0022] In a second aspect, the present application provides a precoding matrix indication measurement optimization device, the device comprising:

[0023] An acquisition module is used to obtain multiple precoding matrix indication PMI values ​​and downlink channel state parameters based on base station beam measurement at every preset period; the downlink channel state parameters include downlink reference signal received power RSRP, downlink signal to interference plus noise ratio SINR and downlink modulation and coding strategy MCS rate;

[0024] A judgment module, used to judge whether the downlink channel state parameter meets a preset condition; the preset condition is that the downlink RSRP is greater than or equal to a first threshold, the downlink SINR is greater than or equal to a second threshold, and the downlink MCS rate is less than or equal to a third threshold;

[0025] A reduction module, configured to reduce the channel state information reference signal CSI-RS port number support capability level step by step after determining that the downlink channel state parameter meets the preset conditions, until the channel transmission effect corresponding to the reduced number of CSI-RS ports meets the transmission requirement conditions; each CSI-RS port number support capability level corresponds to a specific number of CSI-RS ports;

[0026] A determination module is used to determine a target PMI value from the multiple PMI values ​​based on the reduced CSI-RS port number support capability level, and report the target PMI value and the number of CSI-RS ports corresponding to the reduced CSI-RS port number support capability level to a base station.

[0027] In a third aspect, the present application provides an electronic device, comprising: a processor, and a memory communicatively connected to the processor;

[0028] The memory stores computer-executable instructions;

[0029] The processor executes the computer-executable instructions stored in the memory to implement the method as described in any one of the first aspects.

[0030] In a fourth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, they are used to implement the method as described in any one of the first aspects.

[0031] In a fifth aspect, the present application provides a computer program product, comprising a computer program, which, when executed by a processor, implements the method as described in any one of the first aspects.

[0032] In summary, the present application provides a precoding matrix indication measurement optimization method, device, equipment, medium and product, which can optimize the PMI value by periodically triggering the PMI enhancement processing process through the terminal device, and report the optimized PMI value to the base station; specifically, at every preset period, the PMI value is calculated based on the beam measurement to obtain multiple PMI values, and the downlink reference signal received power RSRP, the downlink signal to interference plus noise ratio SINR and the downlink modulation and coding strategy MCS rate are obtained, and further, it is determined whether the downlink RSRP is greater than or equal to the first threshold, the downlink SINR is greater than or equal to the second threshold, and the downlink MCS rate is less than or equal to the third threshold; if so, it is determined that the PMI value measurement is inaccurate, and it is necessary to start the PMI enhancement processing sub-scheme, that is, reduce the number of CSI-RS ports supported by the terminal device and report the CSI-RS port number support capability to the base station, and calculate the PMI value within the PMI value range based on the reduction of the CRI-RS port number and report it to the base station, so that the base station performs scheduling and downlink beamforming based on the reported PMI value, thereby improving the accuracy of the terminal device PMI measurement. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0034] Figure 1 A schematic diagram of an application scenario provided for an embodiment of the present application;

[0035] Figure 2 A flowchart of a precoding matrix indication measurement optimization method provided in an embodiment of the present application;

[0036] Figure 3 A flowchart of a specific precoding matrix indication measurement optimization method provided in an embodiment of the present application;

[0037] Figure 4 A schematic diagram of the structure of a precoding matrix indication measurement optimization device provided in an embodiment of the present application;

[0038] Figure 5 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application.

[0039] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0040] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0041] In order to facilitate the clear description of the technical solutions of the embodiments of the present application, in the embodiments of the present application, the words "first", "second" and the like are used to distinguish the same items or similar items with substantially the same functions and effects. For example, the first device and the second device are only used to distinguish different devices, and their order is not limited. Those skilled in the art can understand that the words "first", "second" and the like do not limit the quantity and execution order, and the words "first", "second" and the like do not necessarily limit them to be different.

[0042] It should be noted that, in this application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in this application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.

[0043] In the present application, "at least one" means one or more, and "plurality" means two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone, where A and B can be singular or plural. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can mean: a, b, c, ab, ac, bc, or abc, where a, b, c can be single or multiple.

[0044] In the 5G era, 5G mid- and high-frequency bands use narrow beam transmission, so the accuracy of the beam direction will greatly affect the air interface rate. The beam direction depends on the PMI measurement of the terminal device. If the PMI measurement is inaccurate, the base station narrow beam transmission direction will be inaccurate, which will ultimately affect the rate.

[0045] In one possible implementation, a code book containing several precoding matrices can be stored at both the transmitting and receiving ends. Furthermore, the receiver can select one of the precoding matrices based on the estimated channel matrix and a certain criterion, and feed back its index value and quantized CSI to the transmitting end; then, at the next moment, the transmitting end can adopt the new precoding matrix and determine the coding and modulation method for the codeword based on the fed-back quantized CSI.

[0046] However, as the number of Channel State Information Reference Signal (CRS-RS) ports supported by terminal devices increases, the range of PMI measurement values ​​is further expanded, which increases the difficulty of accurately measuring the terminal PMI. Based on current field test conditions, the greater the support capacity of the CRS-RS ports, the less accurate the PMI measurement, and the greater the probability of the rate dropping to the bottom, resulting in less accurate PMI measurement. The above method supports a large number of CRS-RS ports, which reduces the accuracy of the terminal PMI measurement.

[0047] In response to the above problems, the present application provides a precoding matrix indication measurement optimization method, which can optimize the PMI value by periodically triggering the PMI enhancement processing flow through the terminal device, and report the optimized PMI value to the base station; specifically, at every preset period, the PMI value is calculated based on the beam measurement to obtain multiple PMI values, and the downlink reference signal received power RSRP, the downlink signal to interference plus noise ratio SINR and the downlink modulation and coding strategy MCS rate are obtained, and further, it is determined whether the RSRP is greater than or equal to a first threshold, whether the SINR is greater than or equal to a second threshold, and whether the MCS rate is less than or equal to a third threshold; if so, it is determined that the PMI value measurement is inaccurate, and it is necessary to start the PMI enhancement processing sub-scheme, that is, reducing the number of CSI-RS ports supported by the terminal device and reporting the CSI-RS port number support capability to the base station, and calculating the PMI value within the PMI value range based on the reduction of the CSI-RS port number and reporting it to the base station, so that the base station performs scheduling and downlink beamforming based on the reported PMI value, thereby improving the accuracy of the PMI measurement of the terminal device.

[0048] For example, Figure 1 A schematic diagram of an application scenario provided in an embodiment of the present application, such as Figure 1 As shown, the application scenario can be applied to a scenario in which a base station sends a signal, and the application scenario includes a first terminal device 101, a second terminal device 102 and a base station 103; specifically, the first terminal device 101 can perform channel state information detection to obtain the number of CRS-RS ports, and obtain multiple PMI values ​​based on beam measurement calculation within a preset period, and further obtain downlink reference signal receiving power (Reference Signal Receiving Power, RSRP), downlink signal to interference plus noise ratio (Signal toInterference plus Noise Ratio, SINR) and downlink modulation and coding strategy (Modulation and The base station 103 determines whether the downlink RSRP, downlink SINR and downlink MCS rate meet the preset conditions; when it is determined that the preset conditions are met, the CSI-RS port number support capability level is gradually reduced, that is, the number of CRS-RS ports is reduced, and further, according to the reduced number of CRS-RS ports, the PMI value that best matches the channel condition and its own demodulation performance is sent to the base station 103 for the base station 103 to perform scheduling and downlink beamforming, that is, to detect the position of the terminal device and the channel quality.

[0049] It is understandable that the second terminal device 102 can also execute the above process that is the same as the first terminal device 101. The embodiment of the present application does not specifically limit the number of terminal devices that interact with the base station 103 to perform the above process.

[0050] Optionally, the terminal device (terminal) can be a wireless terminal or a wired terminal. A wireless terminal can be a device that provides voice and / or other service data connectivity to a user, a handheld device with a wireless connection function, or other processing devices connected to a wireless modem. A wireless terminal can communicate with one or more core network devices via a radio access network (Radio Access Network, referred to as RAN). A wireless terminal can be a mobile terminal, such as a mobile phone (or "cellular" phone) and a computer with a mobile terminal, for example, a portable, pocket-sized, handheld, computer-built-in or vehicle-mounted mobile device, which exchanges language and / or data with a radio access network. For another example, a wireless terminal can also be a personal communication service (Personal Communication Service, referred to as PCS) phone, a cordless phone, a Session Initiation Protocol (Session Initiation Protocol, referred to as SIP) phone, a wireless local loop (Wireless Local Loop, referred to as WLL) station, a personal digital assistant (Personal Digital Assistant, referred to as PDA) and other devices. A wireless terminal may also be referred to as a system, a subscriber unit, a subscriber station, a mobile station, a mobile station, a remote station, a remote terminal, an access terminal, a user terminal, a user agent, or a user device or user equipment, without limitation. Optionally, the terminal device may be a smart phone, a tablet computer, or the like.

[0051] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0052] Figure 2 A flowchart of a precoding matrix indication measurement optimization method provided in an embodiment of the present application is shown in FIG. Figure 2 As shown, the precoding matrix indication measurement optimization method includes the following steps:

[0053] S201. At every preset period, multiple precoding matrix indication PMI values ​​and downlink channel state parameters are obtained based on the base station beam measurement; the downlink channel state parameters include downlink reference signal received power RSRP, downlink signal to interference plus noise ratio SINR and downlink modulation and coding strategy MCS rate.

[0054] In an embodiment of the present application, the preset period may refer to a period preset in advance for triggering the terminal device to perform the PMI enhancement processing flow; the period may be T1, and the value range configured by the terminal device is {1 to 10000}, in milliseconds, and the default preset period value is 1000 milliseconds. The embodiment of the present application does not specifically limit the value corresponding to T1, which can be determined based on the application environment of the terminal device.

[0055] The precoding matrix indication PMI may refer to a situation in which, in a closed-loop spatial multiplexing transmission mode, the terminal equipment (UE) tells the base station what kind of precoding matrix should be used to precode the physical downlink shared channel (PDSCH) of the UE, and the precoding matrix indication PMI is represented by a PMI value; wherein, precoding is an adaptive technology in a multi-antenna system, that is, according to the channel state information (CSI), the precoding matrix is ​​adaptively changed at the transmitting end, thereby changing the channel experienced by the signal.

[0056] In this step, within the T1 period, the terminal device can calculate the PMI value based on beam measurement according to the existing scheme. Multiple PMI values ​​will be calculated within the T1 period. Furthermore, the terminal device also needs to obtain RSRP, SINR and MCS rate.

[0057] S202. Determine whether the downlink channel state parameters meet preset conditions; the preset conditions are that the downlink RSRP is greater than or equal to a first threshold, the downlink SINR is greater than or equal to a second threshold, and the downlink MCS rate is less than or equal to a third threshold.

[0058] In an embodiment of the present application, the first threshold, the second threshold and the third threshold are thresholds determined from a preset value range based on the application environment of the terminal device; the embodiment of the present application does not limit the specific numerical values ​​corresponding to the first threshold, the second threshold and the third threshold.

[0059] In this step, the PMI enhancement processing judgment process is entered. If the current downlink RSRP and downlink SINR are good, and the downlink MCS rate is poor, it is considered that the sub-scheme of the PMI enhancement processing process needs to be executed; among them, if the current downlink RSRP>=RSRP_TH_MAX (first threshold), the downlink RSRP is considered to be good; if the current downlink SINR>=SINR_TH_MAX (second threshold), the downlink SINR is considered to be good; if the current downlink MCS rate<=MCS_TH_LOW (third threshold), the downlink MCS is considered to be poor.

[0060] S203. When it is determined that the downlink channel state parameters meet the preset conditions, the channel state information reference signal CSI-RS port number support capability level is gradually reduced until the channel transmission effect corresponding to the reduced number of CSI-RS ports meets the transmission requirement conditions; each CSI-RS port number support capability level corresponds to a specific number of CSI-RS ports.

[0061] In an embodiment of the present application, the channel state information reference signal is a reference signal for detecting the channel state information CSI. The channel state information reference signal can be used to detect the codebook. The codebook is a conjugate transposed matrix used to represent different characteristics of a wireless channel. Both the base station and the terminal device can obtain the codebook.

[0062] The CSI-RS port is used to obtain channel state information and measure the channel between the base station and the UE, thereby obtaining the channel state information required for scheduling and link adaptation, such as the precoding matrix. Furthermore, the terminal device can measure the precoding matrix.

[0063] It should be noted that the channel transmission effect is used to indicate the accuracy of the PMI value measured by the terminal device; the channel transmission effect meets the transmission requirement conditions, indicating that the accuracy of the PMI measurement of the terminal device meets the conditions required by the application environment.

[0064] In this step, the number of CSI-RS ports supported by the terminal device can be reduced and the reduced CSI-RS port support capability of the terminal device can be reported to the base station. The CSI-RS port support capability can correspond to levels, and different CSI-RS port support capabilities correspond to different levels. Each level corresponds to a certain number of CSI-RS ports. The embodiment of the present application does not specifically limit the number of CSI-RS ports corresponding to each level. The higher the level, the greater the number of corresponding CSI-RS ports.

[0065] S204. Determine a target PMI value from the multiple PMI values ​​based on the reduced CSI-RS port number support capability level, and report the target PMI value and the number of CSI-RS ports corresponding to the reduced CSI-RS port number support capability level to the base station.

[0066] In this step, the terminal device can determine the PMI value range based on reducing the number of CRI-RS ports, and then calculate the PMI reporting value. Further, the PMI reporting value can be reported to the base station so that the base station can detect the location and channel quality of the terminal device based on the PMI reporting value.

[0067] Therefore, an embodiment of the present application provides a precoding matrix indication measurement optimization method. After determining that the downlink RSRP, downlink SINR and downlink MCS rate meet preset conditions, a PMI enhancement processing flow is executed to optimize the PMI measurement, thereby improving the accuracy of the PMI measurement of the terminal device.

[0068] Optionally, determining whether the downlink channel state parameter meets a preset condition includes:

[0069] Determine whether the downlink RSRP is greater than or equal to a first threshold, and whether the downlink SINR is greater than or equal to a second threshold; the first threshold is a threshold determined from a first preset value range based on an application environment of the terminal device; the second threshold is a threshold determined from a second preset value range based on the application environment of the terminal device;

[0070] When it is determined that the downlink RSRP is greater than or equal to the first threshold and the downlink SINR is greater than or equal to the second threshold, it is determined whether the downlink MCS rate is less than or equal to a third threshold; the third threshold is a threshold determined from a third preset value range based on the application environment of the terminal device.

[0071] In an embodiment of the present application, the first preset value range is a value range obtained by performing data analysis based on a large amount of downlink RSRP data, such as the value range of RSRP_TH_MAX is (-44, -100), and the default first threshold value is -85. The first threshold value may change based on the application environment of the terminal device. The embodiment of the present application does not limit the specific numerical value corresponding to the first threshold value.

[0072] The second preset value range is a value range obtained based on data analysis of a large amount of downlink SINR data, such as the value range of SINR_TH_MAX is (0, 30), and the default second threshold value is 20. The second threshold value can change based on the application environment of the terminal device. The embodiment of the present application does not limit the specific numerical value corresponding to the second threshold value.

[0073] The third preset value range is a value range obtained by performing data analysis based on a large amount of downlink MCS rate data. For example, the value range of MCS_TH_LOW is (0, 28). The default value of the third threshold is 10. The third threshold may change based on the application environment of the terminal device. The embodiment of the present application does not limit the specific numerical value corresponding to the third threshold.

[0074] It should be noted that the parameter values ​​corresponding to the above-mentioned first threshold, second threshold and third threshold are all configured by the terminal device.

[0075] In this step, it is determined whether the downlink RSRP and the downlink SINR are good. If the downlink RSRP and the downlink SINR are good, it is determined whether the downlink MCS rate is poor. If so, it is determined that the PMI measurement is inaccurate, and the PMI enhancement processing flow is started, that is, the sub-scheme corresponding to the PMI enhancement processing flow is executed; if the downlink RSRP and the downlink SINR are poor, the base station reporting is terminated.

[0076] Therefore, the embodiment of the present application can determine whether the above-mentioned downlink channel state parameters meet the preset conditions to determine whether the PMI measurement is accurate, thereby improving the accuracy of judging the accuracy of the PMI measurement.

[0077] Optionally, the method further includes:

[0078] When it is determined that the downlink channel state parameter meets the preset condition, a PMI value with the highest repetition rate among the multiple PMI values ​​is determined, and the PMI value with the highest repetition rate is reported to the base station.

[0079] In the embodiment of the present application, the repetition rate = the number of repeated PMI values ​​within the preset time / the number of all PMI values ​​within the preset time. The embodiment of the present application does not specifically limit the number of all PMI values ​​within the preset time, which is determined based on actual conditions.

[0080] In this step, an optional sub-scheme corresponding to the PMI enhancement processing flow is: select the PMI value with the highest probability of terminal device measurement within the T1 period as the final reported value, that is, calculate the PMI value according to the existing beam measurement method, calculate the PMI value with the most occurrences, and report it to the base station.

[0081] For example, taking the acquisition of multiple PMI values ​​within the T1 period and divided into PMI1, PMI2, PMI3, PMI1, PMI2, PMI3, PMI4, PMI2, PMI5, and PMI6 as an example, the repetition rate of PMI1 is 2 / 10, the repetition rate of PMI2 is 3 / 10, the repetition rate of PMI3 is 2 / 10, the repetition rate of PMI4 is 1 / 10, the repetition rate of PMI5 is 1 / 10, and the repetition rate of PMI6 is 1 / 10, then the PMI value with the highest repetition rate is PMI2, and PMI2 is reported to the base station.

[0082] It should be noted that the embodiments of the present application do not limit the specific numerical values ​​corresponding to the PMI values, and the above are merely examples.

[0083] Optionally, if it is determined that there are multiple PMI values ​​with the highest repetition rate, any one of the PMI values ​​with the highest repetition rate is randomly selected and reported to the base station.

[0084] Therefore, after determining that the downlink channel state parameters meet the preset conditions, the embodiment of the present application can report the PMI value with the highest repetition rate to the base station, that is, the PMI value with the highest probability to the base station, so as to improve the accuracy of PMI measurement of the terminal device.

[0085] Optionally, the method further includes:

[0086] When it is determined that the downlink channel state parameter meets the preset conditions, multiple PMI value combinations among the multiple PMI values ​​are determined, and the PMI value corresponding to the PMI value combination containing the largest number of PMI values ​​is reported to the base station; the PMI value combination includes multiple repeated and continuous PMI values.

[0087] In this step, another optional sub-scheme corresponding to the PMI enhancement processing flow is: select the PMI value that is continuously the same and the largest number measured by the terminal device within the T1 period as the final reported value, that is, calculate the PMI value according to the existing beam measurement method, and determine the continuously the same and the largest number of PMI values ​​to be reported to the base station.

[0088] Exemplarily, taking the acquisition of multiple PMI values ​​within the T1 period and divided into PMI1, PMI1, PMI1, PMI2, PMI2, PMI3, PMI3, PMI1, PMI2, and PMI4 as an example, it is determined that the multiple PMI value combinations are PMI1 value combination, PMI2 value combination, and PMI3 value combination, respectively. The PMI1 value combination includes 3 repeated and consecutive PMI1s; the PMI2 value combination includes 2 repeated and consecutive PMI2s; the PMI3 value combination includes 2 repeated and consecutive PMI3s; therefore, the PMI value combination containing the largest number of PMI values ​​is the PMI1 value combination, and its corresponding PMI value is PMI1, then PMI1 is reported to the base station.

[0089] Optionally, if it is determined that there are multiple PMI value combinations containing the largest number of PMI values, a PMI value corresponding to any one of the PMI value combinations containing the largest number of PMI values ​​is randomly selected and reported to the base station.

[0090] Therefore, after determining that the downlink channel state parameters meet the preset conditions, the embodiment of the present application can report the PMI value corresponding to the PMI value combination with the largest number of PMI values ​​to the base station to improve the accuracy of PMI measurement of the terminal device.

[0091] Optionally, the method further includes:

[0092] When it is determined that the downlink channel state parameters meet the preset conditions, a predetermined number of target PMI value combinations are obtained from the multiple PMI value combinations, the PMI value with the highest repetition rate among the predetermined number of target PMI value combinations is determined, and the PMI value corresponding to the target PMI value combination with the highest repetition rate is reported to the base station.

[0093] In the embodiment of the present application, the predetermined number is a number set in advance for determining the number of consecutive identical and largest PMI values ​​to be selected as alternatives. The embodiment of the present application does not specifically limit the predetermined number, which can be determined based on the application environment of the terminal device. For example, the predetermined number can be 3.

[0094] In this step, another optional sub-scheme corresponding to the PMI enhancement processing flow is: according to the scheme of the above-mentioned embodiment, select a maximum of three consecutive identical PMI values ​​as alternatives; further, based on the three alternative PMI values ​​as a benchmark, select the PMI value with the highest probability as the final reported value for reporting to the base station.

[0095] Exemplarily, taking the acquisition of multiple PMI values ​​within the T1 period and divided into PMI1, PMI1, PMI1, PMI2, PMI2, PMI3, PMI3, PMI1, PMI2, and PMI4 as an example, three target PMI value combinations are determined, namely PMI1 value combination, PMI2 value combination and PMI3 value combination, the PMI1 value combination includes 3 repeated and consecutive PMI1s; the PMI2 value combination includes 2 repeated and consecutive PMI2s; the PMI3 value combination includes 2 repeated and consecutive PMI3s; further, it is determined that the repetition rate of PMI1 is 4 / 10, the repetition rate of PMI2 is 3 / 10, and the repetition rate of PMI3 is 2 / 10, then the target PMI value combination with the highest repetition rate is determined to be the PMI1 value combination, and its corresponding PMI value is PMI1, then PMI1 is reported to the base station.

[0096] It should be noted that the embodiments of the present application do not specifically limit the numerical values ​​corresponding to the multiple PMI values ​​obtained within a period, and the PMI values ​​corresponding to the above embodiments are only examples.

[0097] Optionally, if it is determined that there are multiple target PMI value combinations with the highest repetition rate, a PMI value corresponding to any one of the target PMI value combinations with the highest repetition rate is randomly selected and reported to the base station.

[0098] Therefore, after determining that the downlink channel state parameters meet the preset conditions, the embodiment of the present application can report the PMI value corresponding to the target PMI value combination with the highest repetition rate to improve the accuracy of the PMI measurement of the terminal device.

[0099] Optionally, determining a target PMI value from the multiple PMI values ​​based on the reduced CSI-RS port number support capability level includes:

[0100] Based on the reduced CSI-RS port number support capability level, determine the value range of the PMI value, and determine the target PMI value from the multiple PMI values ​​based on the value range; each CSI-RS port number support capability level corresponds to a value range of the PMI value in a specific interval.

[0101] In an embodiment of the present application, an enhanced PMI measurement method is proposed, namely, reducing the number of CSI-RS ports supported by the terminal device. Since different CSI-RS port number support capability levels correspond to different numbers of CSI-RS ports, and different numbers of CSI-RS ports correspond to different PMI value ranges, different CSI-RS port number support capability levels can correspond to PMI value ranges in different intervals. The embodiment of the present application does not specifically limit the number of CSI-RS ports corresponding to each CSI-RS port number support capability level, so the value range of the PMI value in a specific interval corresponding to each CSI-RS port number support capability level is also not specifically limited.

[0102] Exemplarily, the terminal device obtains an initial CSI-RS port number support capability level of level 1, and the corresponding CRI-RS port number is 32. The reduced CSI-RS port number support capability level is level 2. Furthermore, the corresponding CRI-RS port number can be searched as 16 based on the reduced CSI-RS port number support capability level, and then, the value range corresponding to the PMI value is determined based on the 16 CRI-RS port numbers, and the target PMI value is determined from multiple PMI values ​​obtained within the T1 period based on the determined value range.

[0103] It should be noted that the embodiment of the present application does not make any specific limitation on the numerical value of the specific interval corresponding to the value range of the PMI value determined by different numbers of CSI-RS ports, which can be determined based on actual conditions. The present application also does not make any specific limitation on the method for determining the target PMI value from multiple PMI values ​​based on the value range, which can refer to the existing method.

[0104] Therefore, the embodiment of the present application can determine the PMI reporting value based on the PMI value range that reduces the number of CRI-RS ports, thereby improving the accuracy of determining the PMI reporting value.

[0105] It should be noted that the PMI enhancement processing flow corresponds to the four sub-schemes described in the above embodiment. The four sub-schemes can be flexibly selected, or multiple sub-schemes can be selected to take effect at the same time. When multiple sub-schemes take effect at the same time, multiple PMI values ​​can be reported to the base station. Further, the base station can determine the target PMI value based on the multiple PMI values, so that the base station can detect the location and channel quality of the terminal device based on the target PMI. The embodiment of the present application does not specifically limit the method for the base station to determine the target PMI value.

[0106] In combination with the above embodiments, Figure 3 A flowchart of a specific precoding matrix indication measurement optimization method provided in an embodiment of the present application is shown as follows: Figure 3 As shown, the precoding matrix indication measurement optimization method includes the following steps:

[0107] Step A: The terminal device periodically triggers the PMI test enhancement process, and calculates the PMI value based on beam measurement according to the existing mechanism. Further, it determines whether the downlink RSRP and downlink SINR are good; if so, execute step B; if not, end the process.

[0108] Step B: Determine whether the downlink MCS is low. If so, it is suspected that the PMI value is not accurately measured, and the sub-scheme of the PMI enhancement processing flow is started, among which the following 4 sub-schemes can be flexibly selected, or multiple sub-schemes can be selected to take effect at the same time; if not, the processing flow is terminated.

[0109] Optionally, the next 4 sub-schemes include:

[0110] Sub-scheme 1: Select the PMI value with the highest probability of being measured by the terminal device within a preset period as the final reported value.

[0111] Sub-scheme 2: Select the PMI value with the most consecutive measurements within a preset period as the final reported value.

[0112] Sub-scheme 3: The PMI value based on probability and the most consecutive fusion is used as the final reported value.

[0113] Sub-scheme 4: Reduce the capability of supporting the number of CSI-RS ports and report to the base station, and calculate the PMI reporting value based on the PMI value range of the reduced number of CSI-RS ports.

[0114] In this way, the present application can optimize the PMI measurement and improve the accuracy of the terminal PMI measurement through the above-mentioned enhanced PMI measurement method.

[0115] In the foregoing embodiments, the precoding matrix indication measurement optimization method provided in the embodiments of the present application is introduced, and in order to implement the various functions in the method provided in the embodiments of the present application, the electronic device as the execution subject may include a hardware structure and / or a software module, and implement the above functions in the form of a hardware structure, a software module, or a hardware structure plus a software module. Whether one of the above functions is executed in the form of a hardware structure, a software module, or a hardware structure plus a software module depends on the specific application and design constraints of the technical solution.

[0116] For example, Figure 4 A schematic diagram of the structure of a precoding matrix indication measurement optimization device provided in an embodiment of the present application, the device 400 includes: an acquisition module 401, a judgment module 402, a reduction module 403 and a determination module 404; the acquisition module 401 is used to obtain multiple precoding matrix indication PMI values ​​and downlink channel state parameters based on base station beam measurement at every preset period; the downlink channel state parameters include downlink reference signal received power RSRP, downlink signal to interference plus noise ratio SINR and downlink modulation and coding strategy MCS rate;

[0117] The judging module 402 is configured to judge whether the downlink channel state parameter meets a preset condition; the preset condition is that the downlink RSRP is greater than or equal to a first threshold, the downlink SINR is greater than or equal to a second threshold, and the downlink MCS rate is less than or equal to a third threshold;

[0118] The reducing module 403 is used to gradually reduce the channel state information reference signal CSI-RS port number support capability level after determining that the downlink channel state parameter meets the preset condition, until the channel transmission effect corresponding to the reduced number of CSI-RS ports meets the transmission requirement condition; each CSI-RS port number support capability level corresponds to a specific number of CSI-RS ports;

[0119] The determination module 404 is used to determine a target PMI value from the multiple PMI values ​​based on the reduced CSI-RS port number support capability level, and report the target PMI value and the number of CSI-RS ports corresponding to the reduced CSI-RS port number support capability level to the base station.

[0120] Optionally, the judging module 402 is specifically configured to:

[0121] Determine whether the downlink RSRP is greater than or equal to a first threshold, and whether the downlink SINR is greater than or equal to a second threshold; the first threshold is a threshold determined from a first preset value range based on an application environment of the terminal device; the second threshold is a threshold determined from a second preset value range based on the application environment of the terminal device;

[0122] When it is determined that the downlink RSRP is greater than or equal to the first threshold and the downlink SINR is greater than or equal to the second threshold, it is determined whether the downlink MCS rate is less than or equal to a third threshold; the third threshold is a threshold determined from a third preset value range based on the application environment of the terminal device.

[0123] Optionally, the apparatus 400 further includes a first reporting module; the first reporting module is configured to:

[0124] When it is determined that the downlink channel state parameter meets the preset condition, a PMI value with the highest repetition rate among the multiple PMI values ​​is determined, and the PMI value with the highest repetition rate is reported to the base station.

[0125] Optionally, the apparatus 400 further includes a second reporting module; the second reporting module is configured to:

[0126] When it is determined that the downlink channel state parameter meets the preset conditions, multiple PMI value combinations among the multiple PMI values ​​are determined, and the PMI value corresponding to the PMI value combination containing the largest number of PMI values ​​is reported to the base station; the PMI value combination includes multiple repeated and continuous PMI values.

[0127] Optionally, the apparatus 400 further includes a third reporting module; the third reporting module is configured to:

[0128] When it is determined that the downlink channel state parameters meet the preset conditions, a predetermined number of target PMI value combinations are obtained from the multiple PMI value combinations, the PMI value with the highest repetition rate among the predetermined number of target PMI value combinations is determined, and the PMI value corresponding to the target PMI value combination with the highest repetition rate is reported to the base station.

[0129] Optionally, the determining module 404 is specifically configured to:

[0130] Based on the reduced CSI-RS port number support capability level, determine the value range of the PMI value, and determine the target PMI value from the multiple PMI values ​​based on the value range; each CSI-RS port number support capability level corresponds to a value range of the PMI value in a specific interval.

[0131] The specific implementation principle and effect of a precoding matrix indication measurement optimization device provided in an embodiment of the present application can be found in the relevant description and effects corresponding to the above embodiment, and no further details will be given here.

[0132] The present application also provides a schematic diagram of the structure of an electronic device. Figure 5 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application is shown in FIG. Figure 5As shown, the electronic device may include: a processor 501 and a memory 502 communicatively connected to the processor; the memory 502 stores a computer program; the processor 501 executes the computer program stored in the memory 502, so that the processor 501 executes the method described in any of the above embodiments.

[0133] The memory 502 and the processor 501 may be connected via a bus 503 .

[0134] An embodiment of the present application further provides a computer-readable storage medium, which stores computer program execution instructions. When the computer program execution instructions are executed by a processor, they are used to implement the method described in any of the aforementioned embodiments of the present application.

[0135] An embodiment of the present application further provides a chip for executing instructions, wherein the chip is used to execute the method described in any of the aforementioned embodiments as executed by an electronic device in any of the aforementioned embodiments of the present application.

[0136] An embodiment of the present application further provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the method described in any of the aforementioned embodiments of the present application executed by an electronic device can be implemented.

[0137] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of modules is only a logical function division. There may be other division methods in actual implementation, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or modules, which can be electrical, mechanical or other forms.

[0138] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to implement the solution of this embodiment.

[0139] In addition, each functional module in each embodiment of the present application can be integrated into one processing unit, or each module can exist physically separately, or two or more modules can be integrated into one unit. The above-mentioned module-composed unit can be implemented in the form of hardware or in the form of hardware plus software functional units.

[0140] The above-mentioned integrated module implemented in the form of a software function module can be stored in a computer-readable storage medium. The above-mentioned software function module is stored in a storage medium, including a number of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to perform some steps of the method described in each embodiment of the present application.

[0141] It should be understood that the processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), etc. A general-purpose processor may be a microprocessor or any conventional processor. The steps of the method disclosed in the application may be directly implemented as being executed by a hardware processor, or may be implemented by a combination of hardware and software modules in the processor.

[0142] The memory may include high-speed random access memory (RAM), and may also include non-volatile memory (NVM), such as at least one disk storage, and may also be a USB flash drive, a mobile hard disk, a read-only memory, a disk or an optical disk, etc.

[0143] The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, the bus in the drawings of the present application is not limited to only one bus or one type of bus.

[0144] The above storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. The storage medium can be any available medium that can be accessed by a general or special computer.

[0145] An exemplary storage medium is coupled to a processor so that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and the storage medium can be located in an application specific integrated circuit (ASIC). Of course, the processor and the storage medium can also exist as discrete components in an electronic device or a main control device.

[0146] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the present application.

[0147] It should be further noted that, although the various steps in the flow chart are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flow chart may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these sub-steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

[0148] In the above embodiments, the description of each embodiment has its own emphasis. For the part not described in detail in a certain embodiment, please refer to the relevant description of other embodiments. The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0149] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. The present application is intended to cover any modification, use or adaptation of the present application, which follows the general principles of the present application and includes common knowledge or customary techniques in the art that are not disclosed in the present application. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present application are indicated by the claims.

[0150] The above is only a specific implementation of the embodiment of the present application, but the protection scope of the embodiment of the present application is not limited thereto, and any changes or replacements within the technical scope disclosed in the embodiment of the present application should be included in the protection scope of the embodiment of the present application. Therefore, the protection scope of the embodiment of the present application should be based on the protection scope of the claims.

Claims

1. A precoding matrix indication measurement optimization method, characterized in that: The method comprises: At every preset period, multiple precoding matrix indication PMI values ​​and downlink channel state parameters are obtained based on the base station beam measurement; the downlink channel state parameters include downlink reference signal received power RSRP, downlink signal to interference plus noise ratio SINR and downlink modulation and coding strategy MCS rate; Determine whether the downlink channel state parameter meets a preset condition; the preset condition is that the downlink RSRP is greater than or equal to a first threshold, the downlink SINR is greater than or equal to a second threshold, and the downlink MCS rate is less than or equal to a third threshold; When it is determined that the downlink channel state parameter meets the preset conditions, the channel state information reference signal CSI-RS port number support capability level is gradually reduced until the channel transmission effect corresponding to the reduced number of CSI-RS ports meets the transmission requirement conditions; each CSI-RS port number support capability level corresponds to a specific number of CSI-RS ports; Based on the reduced CSI-RS port number support capability level, a target PMI value is determined from the multiple PMI values, and the target PMI value and the number of CSI-RS ports corresponding to the reduced CSI-RS port number support capability level are reported to the base station.

2. The method according to claim 1, characterized in that Determining whether the downlink channel state parameter meets a preset condition includes: Determine whether the downlink RSRP is greater than or equal to a first threshold, and whether the downlink SINR is greater than or equal to a second threshold; the first threshold is a threshold determined from a first preset value range based on an application environment of the terminal device; the second threshold is a threshold determined from a second preset value range based on the application environment of the terminal device; When it is determined that the downlink RSRP is greater than or equal to the first threshold and the downlink SINR is greater than or equal to the second threshold, it is determined whether the downlink MCS rate is less than or equal to a third threshold; the third threshold is a threshold determined from a third preset value range based on the application environment of the terminal device.

3. The method according to claim 1, characterized in that The method further comprises: When it is determined that the downlink channel state parameter meets the preset condition, a PMI value with the highest repetition rate among the multiple PMI values ​​is determined, and the PMI value with the highest repetition rate is reported to the base station.

4. The method according to claim 1, characterized in that: The method further comprises: When it is determined that the downlink channel state parameter meets the preset conditions, multiple PMI value combinations among the multiple PMI values ​​are determined, and the PMI value corresponding to the PMI value combination containing the largest number of PMI values ​​is reported to the base station; the PMI value combination includes multiple repeated and continuous PMI values.

5. The method according to claim 4, characterized in that The method further comprises: When it is determined that the downlink channel state parameters meet the preset conditions, a predetermined number of target PMI value combinations are obtained from the multiple PMI value combinations, the PMI value with the highest repetition rate among the predetermined number of target PMI value combinations is determined, and the PMI value corresponding to the target PMI value combination with the highest repetition rate is reported to the base station.

6. The method according to any one of claims 1 to 5, characterized in that: Determining a target PMI value from the multiple PMI values ​​based on the reduced CSI-RS port number support capability level includes: Based on the reduced CSI-RS port number support capability level, determine the value range of the PMI value, and determine the target PMI value from the multiple PMI values ​​based on the value range; each CSI-RS port number support capability level corresponds to a value range of the PMI value in a specific interval.

7. A precoding matrix indication measurement optimization device, characterized in that: The device comprises: An acquisition module is used to obtain multiple precoding matrix indication PMI values ​​and downlink channel state parameters based on base station beam measurement at every preset period; the downlink channel state parameters include downlink reference signal received power RSRP, downlink signal to interference plus noise ratio SINR and downlink modulation and coding strategy MCS rate; A judgment module, used to judge whether the downlink channel state parameter meets a preset condition; the preset condition is that the downlink RSRP is greater than or equal to a first threshold, the downlink SINR is greater than or equal to a second threshold, and the downlink MCS rate is less than or equal to a third threshold; A reduction module, configured to reduce the channel state information reference signal CSI-RS port number support capability level step by step after determining that the downlink channel state parameter meets the preset conditions, until the channel transmission effect corresponding to the reduced number of CSI-RS ports meets the transmission requirement conditions; each CSI-RS port number support capability level corresponds to a specific number of CSI-RS ports; A determination module is used to determine a target PMI value from the multiple PMI values ​​based on the reduced CSI-RS port number support capability level, and report the target PMI value and the number of CSI-RS ports corresponding to the reduced CSI-RS port number support capability level to a base station.

8. An electronic device, characterized in that: include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, they are used to implement the method according to any one of claims 1 to 6.

10. A computer program product, characterized in that The invention comprises a computer program, which implements the method according to any one of claims 1 to 6 when being executed by a processor.

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