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

Abstract

The application provides a precoding matrix indication measurement optimization method, device, equipment, medium and product. The method comprises the following steps: every other preset period, obtaining a plurality of PMI values, downlink RSRP, downlink SINR and downlink MCS rate based on base station beam measurement; judging whether the downlink RSRP, the downlink SINR and the downlink MCS rate meet preset conditions; when it is determined that the preset conditions are met, gradually reducing the CSI-RS port number support capability level until the channel transmission effect corresponding to the reduced CSI-RS port number meets the transmission demand condition; 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, determining a target PMI value from the plurality of PMI values, 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] This application relates to the field of wireless communication technology, and in particular to a precoding matrix indication measurement optimization method, apparatus, device, medium and product. Background Technology

[0002] In 5G networks, user equipment (UE) reports the quality of received downlink signals and the wireless environment through channel state information (CSI). This CSI includes a precoding matrix indication (PMI), which indicates the index of the precoding matrix in the codebook. Since 5G uses narrow beam transmission in high-frequency bands, the accuracy of the beam direction greatly affects the air interface rate. The beam direction depends on the terminal's PMI measurement. If the PMI measurement is inaccurate, it will lead to inaccurate narrow beam transmission direction of the base station, ultimately affecting the rate.

[0003] In the prior art, a codebook 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 use a new precoding matrix and determine the encoding and modulation method for the codeword based on the quantized CSI fed back.

[0004] However, as the number of CRS-RS ports increases, the PMI measurement becomes less accurate. The method described above supports a large number of CRS-RS ports, which reduces the accuracy of PMI measurement on terminal devices. Summary of the Invention

[0005] This application provides a precoded matrix indication measurement optimization method, apparatus, device, medium, and product to solve the problem that the large number of existing supported CRS-RS ports leads to a decrease in the accuracy of PMI measurement in terminal devices.

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

[0007] Every preset period, multiple precoding matrix indicator (PMI) values ​​and downlink channel state parameters are obtained based on base station beam measurements; 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 scheme (MCS) rate.

[0008] 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.

[0009] Once 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 requirements. 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 plurality of 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 parameters meet preset conditions 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 the 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] Once 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 then determined whether the downlink MCS rate is less than or equal to the 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] Once it is determined that the downlink channel state parameters meet the preset conditions, the 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] Once it is determined that the downlink channel state parameter meets the preset conditions, multiple PMI value combinations are determined among the multiple PMI values, and the PMI value corresponding to the PMI value combination containing the most PMI values ​​is reported to the base station; the PMI value combination includes multiple repeated and consecutive PMI values.

[0018] Optionally, the method further includes:

[0019] Once it is determined that the downlink channel state parameter meets 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, based on the reduced CSI-RS port count support capability level, a target PMI value is determined from the plurality of PMI values, including:

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

[0022] Secondly, this application provides a precoding matrix indication measurement optimization apparatus, the apparatus comprising:

[0023] The acquisition module is used to acquire multiple precoding matrix indicator (PMI) values ​​and downlink channel state parameters based on base station beam measurements at preset intervals; 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 scheme (MCS) rate;

[0024] The judgment module is used to 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.

[0025] The reduction module is used to gradually reduce the support capability level of the number of CSI-RS ports after determining that the downlink channel state parameters meet the preset conditions, until the channel transmission effect corresponding to the reduced number of CSI-RS ports meets the transmission requirements; each CSI-RS port support capability level corresponds to a specific number of CSI-RS ports.

[0026] The determination module is used to determine a target PMI value from the plurality of 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.

[0027] Thirdly, this application provides an electronic device, including: a processor, and a memory communicatively connected to the processor;

[0028] The memory stores computer-executed instructions;

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

[0030] Fourthly, this application provides a computer-readable storage medium storing computer-executable instructions that, when executed by a processor, are used to implement the method as described in any one of the first aspects.

[0031] Fifthly, this application provides a computer program product, including a computer program that, when executed by a processor, implements the method as described in any one of the first aspects.

[0032] In summary, this application provides a precoding matrix indication measurement optimization method, apparatus, device, medium, and product. It optimizes the PMI value by periodically triggering a PMI enhancement processing flow through the terminal device and reports the optimized PMI value to the base station. Specifically, every preset period, the PMI value is calculated based on beam measurement to obtain multiple PMI values. The downlink reference signal received power (RSRP), downlink signal-to-interference-plus-noise ratio (SINR), and downlink modulation and coding scheme (MCS) rate are also obtained. Further, it is determined whether the downlink RSRP is greater than or equal to a first threshold, whether the downlink SINR is greater than or equal to a second threshold, and whether the downlink MCS rate is less than or equal to a third threshold. If so, it is determined that the PMI value measurement is inaccurate, and a sub-scheme for PMI enhancement processing needs to be initiated. This involves reducing the number of CSI-RS ports supported by the terminal device and reporting the CSI-RS port support capability to the base station, as well as calculating the PMI value within the reduced CSI-RS port range and reporting it to the base station. This allows the base station to perform scheduling and downlink beamforming based on the reported PMI value, thereby improving the accuracy of the terminal device's PMI measurement. Attached Figure Description

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

[0034] Figure 1 This is a schematic diagram of an application scenario provided by an embodiment of this application;

[0035] Figure 2 A flowchart illustrating a precoding matrix indication measurement optimization method provided in this application embodiment;

[0036] Figure 3 A flowchart illustrating a specific precoding matrix indication measurement optimization method provided in this application embodiment;

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

[0038] Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application.

[0039] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0040] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0041] To facilitate a clear description of the technical solutions in the embodiments of this application, the terms "first" and "second" are used in the embodiments of this application to distinguish identical or similar items with essentially the same function and purpose. For example, "first device" and "second device" are merely used to distinguish different devices and do not limit their order of execution. Those skilled in the art will understand that the terms "first" and "second" do not limit the quantity or execution order, and that "first" and "second" do not necessarily imply that they are different.

[0042] It should be noted that, in this application, the terms "exemplary" or "for example" are used to indicate that something is being described as an example, illustration, or illustration. Any embodiment or design described as "exemplary" or "for example" in this application should not be construed as being more preferred or advantageous than other embodiments or design solutions. Specifically, the use of terms such as "exemplary" or "for example" is intended to present the relevant concepts in a concrete manner.

[0043] In this application, "at least one" means one or more, and "more than one" means two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can mean: A alone, A and B simultaneously, or B alone, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one of the following" or similar expressions refer 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, and c can be single or multiple.

[0044] In the 5G era, 5G uses narrow beam transmission in mid-to-high frequency bands. Therefore, the accuracy of the beam direction will greatly affect the air interface rate. The beam direction depends on the PMI measurement of the terminal equipment. If the PMI measurement is inaccurate, it will lead to inaccurate narrow beam transmission direction of the base station, which will ultimately affect the rate.

[0045] In one possible implementation, a codebook 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 the quantized CSI to the transmitting end. Then, at the next moment, the transmitting end can use a new precoding matrix and determine the encoding and modulation method for the codeword based on the quantized CSI fed back.

[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 ​​expands further, increasing the difficulty of accurate PMI measurement. Based on current field testing, the greater the number of CRS-RS ports supported, the less accurate the PMI measurement becomes, and the greater the probability of rate drops, leading to less accurate PMI measurement. The method mentioned above supports a large number of CRS-RS ports, resulting in reduced accuracy of terminal PMI measurement.

[0047] To address the aforementioned issues, this application provides a precoding matrix indication measurement optimization method. This method optimizes the PMI value by periodically triggering a PMI enhancement processing flow from the terminal device and reports the optimized PMI value to the base station. Specifically, every preset period, the PMI value is calculated based on beam measurement, resulting in multiple PMI values. The downlink reference signal received power (RSRP), downlink signal-to-interference-plus-noise ratio (SINR), and downlink modulation and coding scheme (MCS) rate are also obtained. Further, it is determined whether RSRP is greater than or equal to a first threshold, whether 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, the PMI value measurement is deemed inaccurate, and a sub-scheme for PMI enhancement processing needs to be initiated. This involves reducing the number of CSI-RS ports supported by the terminal device and reporting the CSI-RS port support capability to the base station. Additionally, a PMI value is calculated within the PMI value range of the reduced CSI-RS port count and reported to the base station. This allows the base station to schedule and utilize downlink beamforming based on the reported PMI value, thereby improving the accuracy of the terminal device's PMI measurement.

[0048] For example, Figure 1 This is a schematic diagram of an application scenario provided in an embodiment of this application, such as... Figure 1 As shown, this application scenario can be applied to base station signal transmission scenarios. This 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 calculate multiple PMI values ​​based on beam measurement within a preset period. Furthermore, it can obtain the downlink reference signal receiving power (RSRP), downlink signal-to-interference plus noise ratio (SINR), and downlink modulation and coding strategy (Modulation and Coding Strategy). The CodingScheme (MCS) rate is determined, and it is determined 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 reduced step by step, that is, the number of CRS-RS ports is reduced. Furthermore, based on the reduced number of CRS-RS ports, the PMI value that best matches the channel conditions and its own demodulation performance is sent to the base station 103 for scheduling and downlink beamforming by the base station 103, that is, to detect the location and channel quality of the terminal equipment.

[0049] It is understood that the second terminal device 102 can also perform the same process as the first terminal device 101. In this embodiment of the application, the number of terminal devices that interact with the base station 103 to perform the above process is not specifically limited.

[0050] Optionally, the aforementioned terminal equipment (terminal) can be either 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 wireless connectivity, or other processing devices connected to a wireless modem. The wireless terminal can communicate with one or more core network devices via a Radio Access Network (RAN). The wireless terminal can be a mobile terminal, such as a mobile phone (or "cellular" phone) or a computer with a mobile terminal, for example, a portable, pocket-sized, handheld, computer-embedded, or vehicle-mounted mobile device that exchanges voice and / or data with the RAN. For example, a wireless terminal can also be a Personal Communication Service (PCS) phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a Wireless Local Loop (WLL) station, a Personal Digital Assistant (PDA), or other similar devices. A wireless terminal can also be referred to as a system, subscriber unit, subscriber station, mobile station, mobile, remote station, remote terminal, access terminal, user terminal, user agent, user device, or user equipment, without limitation. Optionally, the aforementioned terminal devices can be smartphones, tablets, or other similar devices.

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

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

[0053] S201. Every preset period, based on the measurement of the base station beam, obtain multiple precoding matrix indicator (PMI) values ​​and downlink channel state parameters; 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 scheme (MCS) rate.

[0054] In this embodiment, the preset period can refer to a pre-set period for triggering the terminal device to perform PMI enhancement processing; the period can be T1, which is configured by the terminal device and has a value range of {1~10000}, in milliseconds. The default preset period value is 1000 milliseconds. In this embodiment, the value corresponding to T1 is not specifically limited, and it can be determined based on the application environment of the terminal device.

[0055] The precoding matrix indication (PMI) can refer to the precoding matrix that a terminal device (UE) tells the base station to use to precode the Physical Downlink Shared Channel (PDSCH) of the UE in a closed-loop spatial multiplexing transmission mode. The precoding matrix indication (PMI) is represented by a PMI value. Precoding is an adaptive technique in multi-antenna systems, which adaptively changes the precoding matrix at the transmitting end according to the channel state information (CSI), thereby changing the channel through which the signal passes.

[0056] In this step, within the T1 cycle, 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 cycle. 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 this embodiment, the first threshold, the second threshold, and the third threshold are thresholds determined from a preset range based on the application environment of the terminal device; this embodiment does not limit the specific 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, but the downlink MCS rate is poor, then it is considered that the sub-scheme of the PMI enhancement processing process needs to be executed. Specifically, if the current downlink RSRP is greater than or equal to RSRP_TH_MAX (first threshold), then the downlink RSRP is considered good; if the current downlink SINR is greater than or equal to SINR_TH_MAX (second threshold), then the downlink SINR is considered good; if the current downlink MCS rate is less than or equal to MCS_TH_LOW (third threshold), then the downlink MCS is considered 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 requirements; each CSI-RS port number support capability level corresponds to a specific number of CSI-RS ports.

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

[0062] The CSI-RS port is used to acquire channel state information and measure the channel between the base station and the UE, thereby acquiring 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 fact that the channel transmission effect meets the transmission requirements indicates that the accuracy of the PMI measurement by the terminal device meets the requirements of 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. This CSI-RS port support capability can correspond to different levels, with different levels corresponding to different levels. Each level corresponds to a certain number of CSI-RS ports. In this embodiment of the application, the number of CSI-RS ports corresponding to each level is not specifically limited. The higher the level, the more CSI-RS ports there are.

[0065] S204. Based on the reduced CSI-RS port number support capability level, determine the target PMI value from the plurality of PMI values, 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 range of PMI values ​​by reducing the number of CRI-RS ports, then calculate the PMI reporting value, and further report the PMI reporting value 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, this application provides a precoding matrix indication measurement optimization method. After determining that the downlink RSRP, downlink SINR and downlink MCS rates meet preset conditions, a PMI enhancement processing flow is executed to optimize the PMI measurement, thereby improving the accuracy of the terminal device's PMI measurement.

[0068] Optionally, determining whether the downlink channel state parameters meet preset conditions 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 the 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] Once 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 then determined whether the downlink MCS rate is less than or equal to the 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 this embodiment of the application, the first preset value range is a value range obtained by data analysis based on a large amount of downlink RSRP data. For example, the value range of RSRP_TH_MAX is (-44, -100). The default value of the first threshold is -85. The first threshold can be based on changes in the application environment of the terminal device. In this embodiment of the application, the specific value corresponding to the first threshold is not limited.

[0072] The second preset value range is a value range obtained by data analysis based on a large amount of downlink SINR data. For example, the value range of SINR_TH_MAX is (0, 30). The default value of the second threshold is 20. The second threshold can be based on changes in the application environment of the terminal device. The specific value corresponding to the second threshold is not limited in this application embodiment.

[0073] The third preset value range is a value range obtained by 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 can be based on changes in the application environment of the terminal device. The specific value corresponding to the third threshold is not limited in this application embodiment.

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

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

[0076] Therefore, the embodiments of this application can determine whether the downlink channel state parameters meet the preset conditions in order to determine whether the PMI measurement is accurate, thereby improving the accuracy of judging the accuracy of PMI measurement.

[0077] Optionally, the method further includes:

[0078] Once it is determined that the downlink channel state parameters meet the preset conditions, the 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 this embodiment of the application, the repetition rate is equal to the number of repeated PMI values ​​within a preset time period / the total number of PMI values ​​within a preset time period. This embodiment of the application does not specifically limit the total number of PMI values ​​within a preset time period, but determines it according to the actual situation.

[0080] In this step, one possible sub-scheme for the PMI enhancement processing flow is: select the PMI value with the highest measurement probability of 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, calculate the PMI value that occurs most frequently, and report it to the base station.

[0081] For example, taking multiple PMI values ​​obtained within a T1 period as PMI1, PMI2, PMI3, PMI4, PMI5, and PMI6, 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 specific numerical value corresponding to the PMI value is not limited in the embodiments of this application; the above is merely an example.

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

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

[0085] Optionally, the method further includes:

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

[0087] In this step, another optional sub-scheme corresponding to the PMI enhancement processing flow is: select the terminal device measuring the most consecutive identical PMI values ​​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 most consecutive identical PMI values ​​to be reported to the base station.

[0088] For example, taking the acquisition of multiple PMI values ​​within a T1 period as PMI1, PMI1, PMI1, PMI2, PMI2, PMI3, PMI3, PMI1, PMI2, and PMI4 as an example, the multiple PMI value combinations are determined as PMI1 value combination, PMI2 value combination, and PMI3 value combination. The PMI1 value combination includes 3 repeated and consecutive PMI1 values; the PMI2 value combination includes 2 repeated and consecutive PMI2 values; and the PMI3 value combination includes 2 repeated and consecutive PMI3 values. Therefore, the PMI value combination containing the most 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 combinations of PMI values ​​containing the largest number of PMI values, then the PMI value corresponding to any combination of PMI values ​​containing the largest number of PMI values ​​is randomly selected and reported to the base station.

[0090] Therefore, in this embodiment of the application, after determining that the downlink channel state parameters meet the preset conditions, the PMI value corresponding to the combination of PMI values ​​containing the most PMI values ​​can be reported to the base station to improve the accuracy of PMI measurement by the terminal device.

[0091] Optionally, the method further includes:

[0092] Once it is determined that the downlink channel state parameter meets 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 this embodiment of the application, the predetermined quantity is a pre-set quantity used to determine the number of consecutive identical and most frequent PMI values ​​to be selected as candidates. This embodiment of the application does not specifically limit the predetermined quantity, which can be determined based on the application environment of the terminal device. For example, the predetermined quantity can be 3.

[0094] In this step, another optional sub-scheme corresponding to the PMI enhancement processing flow is: select the three consecutive identical and most frequent PMI values ​​as candidates according to the scheme of the above embodiment. Further, based on the three candidate 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] For example, taking the acquisition of multiple PMI values ​​within a T1 period as PMI1, PMI1, PMI1, PMI2, PMI2, PMI3, PMI3, PMI1, PMI2, and PMI4 as an example, three target PMI value combinations are determined as the PMI1 value combination, the PMI2 value combination, and the PMI3 value combination. The PMI1 value combination includes three repeated and consecutive PMI1 values; the PMI2 value combination includes two repeated and consecutive PMI2 values; and the PMI3 value combination includes two repeated and consecutive PMI3 values. 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 as 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 this application do not specifically limit the numerical values ​​corresponding to the multiple PMI values ​​obtained within the period, and the PMI values ​​corresponding to the above embodiments are only illustrative examples.

[0097] Optionally, if it is determined that there are multiple target PMI value combinations with the highest repetition rate, then randomly select the PMI value corresponding to any target PMI value combination with the highest repetition rate and report it to the base station.

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

[0099] Optionally, based on the reduced CSI-RS port count support capability level, a target PMI value is determined from the plurality of PMI values, including:

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

[0101] In this embodiment, 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 support capability levels correspond to different numbers of CSI-RS ports, and different numbers of CSI-RS ports correspond to different ranges of PMI values, different CSI-RS port support capability levels can correspond to different ranges of PMI values. In this embodiment, the number of CSI-RS ports corresponding to each CSI-RS port support capability level is not specifically limited, and therefore the range of PMI values ​​in a specific range corresponding to each CSI-RS port support capability level is not specifically limited.

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

[0103] It should be noted that the embodiments of this application do not specifically limit the value of the specific interval corresponding to the range of PMI values ​​for different numbers of CSI-RS ports, which can be determined based on the actual situation. Furthermore, the method of determining the target PMI value from multiple PMI values ​​based on the range of values ​​is not specifically limited, and can refer to existing methods.

[0104] Therefore, the embodiments of this application can determine the PMI reporting value based on the PMI value range with a reduced 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 embodiments. These four sub-schemes can be flexibly selected, or multiple sub-schemes can be activated simultaneously. When multiple sub-schemes are activated simultaneously, multiple PMI values ​​can be reported to the base station. Furthermore, the base station can determine a target PMI value based on these multiple PMI values, so that the base station can detect the location and channel quality of the terminal device based on the target PMI. This application embodiment does not specifically limit the method by which the base station determines the target PMI value.

[0106] In conjunction with the above embodiments, Figure 3 A flowchart illustrating a specific precoding matrix indication measurement optimization method provided in this application embodiment is shown below. Figure 3 As shown, the precoding matrix indication measurement optimization method includes the following steps:

[0107] Step A: The terminal device follows the periodically triggered 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 yes, proceed to Step B; otherwise, end the process.

[0108] Step B: Determine if the downlink MCS is low. If so, suspect that the PMI value measurement is inaccurate and activate the sub-scheme of the PMI enhancement processing flow. Here, you can flexibly choose the following 4 sub-schemes, or you can choose multiple sub-schemes to take effect at the same time; if not, end the processing flow.

[0109] Optionally, the following four sub-solutions include:

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

[0111] Sub-scheme 2: Select the PMI value that has been continuously measured the most within a preset period as the final reported value.

[0112] Sub-scheme 3: Use the PMI value that is most continuously fused based on probability as the final reported value.

[0113] Sub-scheme 4: Reduce the ability to support 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] Thus, this application can optimize PMI measurement and improve the accuracy of terminal PMI measurement through the enhanced PMI measurement method described above.

[0115] In the foregoing embodiments, the precoding matrix indication measurement optimization method provided by the embodiments of this application has been described. To implement the functions of the methods provided by the embodiments of this application, the electronic device serving as the execution subject may include hardware structures and / or software modules, implementing the above functions in the form of hardware structures, software modules, or a combination of hardware structures and software modules. Whether a particular function is executed in the form of hardware structures, software modules, or a combination of hardware structures and software modules depends on the specific application and design constraints of the technical solution.

[0116] For example, Figure 4 This is a schematic diagram of a precoding matrix indication measurement optimization device provided in an embodiment of this 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 acquire multiple precoding matrix indication (PMI) values ​​and downlink channel state parameters based on base station beam measurements at preset intervals. 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 scheme (MCS) rate.

[0117] The judgment module 402 is used to 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.

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

[0119] The determining module 404 is used to determine a target PMI value from the plurality of 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 determination module 402 is specifically used for:

[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 the 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] Once 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 then determined whether the downlink MCS rate is less than or equal to the 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 device 400 further includes a first reporting module; the first reporting module is used for:

[0124] Once it is determined that the downlink channel state parameters meet the preset conditions, the 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 device 400 further includes a second reporting module; the second reporting module is used for:

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

[0127] Optionally, the device 400 further includes a third reporting module; the third reporting module is used for:

[0128] Once it is determined that the downlink channel state parameter meets 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 used for:

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

[0131] The specific implementation principle and effects of the precoding matrix indication measurement optimization device provided in this application can be found in the relevant descriptions and effects of the above embodiments, and will not be elaborated further here.

[0132] This application also provides a schematic diagram of the structure of an electronic device. Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application, such as... 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, causing the processor 501 to perform the method described in any of the above embodiments.

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

[0134] This application also provides a computer-readable storage medium storing computer program execution instructions, which, when executed by a processor, are used to implement the methods described in any of the foregoing embodiments of this application.

[0135] This application also provides a chip for executing instructions, which is used to perform the methods described in any of the foregoing embodiments executed by an electronic device as described in any of the foregoing embodiments of this application.

[0136] This application also provides a computer program product, which includes a computer program that, when executed by a processor, can implement the methods described in any of the foregoing embodiments executed by an electronic device as described in any of the foregoing embodiments of this application.

[0137] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or modules may be electrical, mechanical, or other forms.

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

[0139] Furthermore, the functional modules in the various embodiments of this 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 unit composed of the above modules can be implemented in hardware or in the form of hardware plus software functional units.

[0140] The integrated modules implemented as software functional modules described above can be stored in a computer-readable storage medium. These software functional modules, stored in a storage medium, include several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute some steps of the methods described in the various embodiments of this application.

[0141] It should be understood that the aforementioned processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. A general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in the application can be directly manifested as being executed by a hardware processor, or executed by a combination of hardware and software modules within the processor.

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

[0143] The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of illustration, the buses shown in the accompanying drawings are not limited to a single bus or a single type of bus.

[0144] The aforementioned storage media can be implemented from 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 storage, flash memory, magnetic disk, or optical disk. The storage media can be any available medium accessible to general-purpose or special-purpose computers.

[0145] An exemplary storage medium is coupled to a processor, enabling the processor to read information from and write information to the storage medium. Alternatively, the storage medium can be an integral part of the processor. Both the processor and the storage medium can reside in an Application Specific Integrated Circuit (ASIC). Alternatively, the processor and storage medium can exist as discrete components in an electronic device or host device.

[0146] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily essential to this application.

[0147] It should be further noted that although the steps in the flowchart are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowchart may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the sub-steps or stages of other steps.

[0148] In the above embodiments, the descriptions of each embodiment have their own emphasis. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments. The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as the combination of these technical features does not contradict each other, it should be considered within the scope of this specification.

[0149] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this application are indicated by the claims.

[0150] The above description is merely a specific implementation of the embodiments of this application, but the protection scope of the embodiments of this application is not limited thereto. Any changes or substitutions within the technical scope disclosed in the embodiments of this application should be covered within the protection scope of the embodiments of this application. Therefore, the protection scope of the embodiments of this application should be determined by the protection scope of the claims.

Claims

1. A precoded matrix indication measurement optimization method, characterized in that, The method includes: Every preset period, multiple precoding matrix indicator (PMI) values ​​and downlink channel state parameters are obtained based on base station beam measurements; 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 scheme (MCS) rate. 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. Once 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 requirements. 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 plurality of 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 parameters meet preset conditions 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 the 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. Once 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 then determined whether the downlink MCS rate is less than or equal to the 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 includes: Once it is determined that the downlink channel state parameters meet the preset conditions, the 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 includes: Once it is determined that the downlink channel state parameter meets the preset conditions, multiple PMI value combinations are determined among the multiple PMI values, and the PMI value corresponding to the PMI value combination containing the most PMI values ​​is reported to the base station; the PMI value combination includes multiple repeated and consecutive PMI values.

5. The method according to claim 4, characterized in that, The method further includes: Once it is determined that the downlink channel state parameter meets 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 1-5, characterized in that, Based on the reduced CSI-RS port count support capability level, a target PMI value is determined from the plurality of PMI values, including: Based on the reduced CSI-RS port number support capability level, the range of PMI values ​​is determined, and a target PMI value is determined from the plurality of PMI values ​​based on the range of values; each CSI-RS port number support capability level corresponds to a specific range of PMI values.

7. A precoded matrix indication measurement optimization device, characterized in that, The device includes: The acquisition module is used to acquire multiple precoding matrix indicator (PMI) values ​​and downlink channel state parameters based on base station beam measurements at preset intervals; 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 scheme (MCS) rate; The judgment module is used to 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. The reduction module is used to gradually reduce the support capability level of the number of CSI-RS ports after determining that the downlink channel state parameters meet the preset conditions, until the channel transmission effect corresponding to the reduced number of CSI-RS ports meets the transmission requirements; each CSI-RS port support capability level corresponds to a specific number of CSI-RS ports. The determination module is used to determine a target PMI value from the plurality of 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.

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

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

10. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the method as described in any one of claims 1-6.

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