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CN-121984615-A - VR-angle joint channel map construction method for super-large-scale MIMO

CN121984615ACN 121984615 ACN121984615 ACN 121984615ACN-121984615-A

Abstract

The invention discloses a super-large-scale MIMO-oriented VR-angle joint channel map construction method, which comprises the steps of firstly, obtaining VR parameters after VR identification through measuring the received signal intensity and the arrival angle of a small number of sampling positions, utilizing the spatial continuity interpolation of VR channel characteristics to predict the VR parameters of other positions, then dividing VR areas according to the VR parameters, utilizing the interpolation of known angle parameters to predict the angle parameters of other positions in each VR area, and finally jointly constructing a super-large-scale MIMO antenna array-oriented VR-angle joint channel map by combining VR and angle two-stage parameters. The invention effectively solves the problem of overlarge system overhead caused by larger coverage area of the ultra-large-scale MIMO antenna array when the VR-angle joint channel map is constructed in a full measurement mode.

Inventors

  • LI KAI
  • ZHANG CHAO
  • WANG JUE

Assignees

  • 南通大学

Dates

Publication Date
20260505
Application Date
20251218

Claims (10)

  1. 1. A VR-angle joint channel map construction method for ultra-large-scale MIMO is characterized by firstly measuring the received signal intensity and the arrival angle of a small number of sampling positions, judging VR marks to obtain VR parameters, utilizing spatial continuity interpolation of VR channel characteristics to predict VR parameters of other positions, dividing VR areas according to the VR parameters, utilizing known angle parameter interpolation to predict angle parameters of other positions in each VR area, and finally jointly constructing VR-angle joint channel maps for ultra-large-scale MIMO antenna array coverage by combining user VR and angle two-stage parameters.
  2. 2. The method according to claim 1, characterized in that it comprises the following steps: s101, mapping a target area covered by a super-large-scale MIMO antenna array into a map, wherein each sampling position corresponds to one pixel point in the map; s102, sampling a small number of positions from a target area, transmitting uplink pilot signals, and measuring the receiving intensity and the reaching angle of each pilot signal at a base station side; s103, judging an effective communication link according to a measurement result of the received signal strength, and taking the corresponding antenna unit as a visible area of a sampling position, namely VR; S104, interpolating VR parameters of the rest positions based on VR judgment results of the sampling positions; S105, dividing VR areas according to VR parameters of all positions of a user side, and interpolating angles of other positions in each VR area based on angles of sampling positions; S106, synthesizing the VR and angle parameters of the user obtained through sampling measurement and interpolation prediction, and constructing a VR-angle joint channel map of the user in the coverage area together.
  3. 3. The method of claim 2, wherein S101 is embodied as equally dividing a target area covered by a super-large-scale MIMO antenna into The pixel points are corresponding to one grid point in the coverage area, the attribute value of the pixel point is the user VR and the angle channel parameter at the corresponding grid point, and the position set of all the discrete grid points is recorded as Then the target area Map with channel The mapping relation between the two is expressed as follows: , Wherein, the And The number of rows and columns of dividing grid points are indicated, respectively.
  4. 4. The method of claim 3, wherein S102 is embodied as selecting a portion of users within the target coverage area to transmit uplink sounding pilot signals to the base station side, sampling only a small number of locations in order to reduce pilot measurement overhead A pilot signal is transmitted.
  5. 5. The method of claim 4, wherein S103 is specifically that the base station VLSI receives and parses the pilot signal sent by the sampling user to sample the user For example, the signal reception intensity and the arrival angle of the user The received signal strength measured by each antenna unit With a threshold value set in advance Comparing, judging whether each antenna unit can establish effective communication link with user position, setting VR mark of antenna unit capable of establishing effective communication link with it to one, setting others to zero, if antenna unit is known Measuring user The received signal strength of the transmitted uplink pilot is The VR recognition decision expression is as follows: , , , Wherein, the Representing the number of antenna elements, based on which the user is obtained VR parameters corresponding to the location: , the VR parameters of the sampling positions obtained by the base station judgment provide data support for the VR space interpolation of the subsequent rest positions; The location of each sampling user Combining VR parameters And angle parameter Constructing a sampled data set: , Wherein, the Representing sampling users Is provided in the position of (a), Representing the angle parameter of the user based on a sampled dataset Obtaining two component data sets, namely VR parameter sampling data sets And angle parameter sampling dataset 。
  6. 6. The method of claim 5, wherein S104 is embodied as a VR parameter dataset based on sample measurements after obtaining the VR parameters of the sampled beacon users And predicting VR parameters of other users by using a spatial interpolation technology: , Wherein, the And Respectively represent users Is used for determining the position of the (c) and its VR parameters, Representing a set of locations of the remaining users, A spatial interpolation function representing VR parameters; When VR samples the dataset When fixed, interpolation prediction effect and interpolation function Integrating VR parameter sampling measurement or interpolation prediction results of all grid points to obtain a complete VR channel map in the target coverage area, namely , Wherein, the Representing the first of the constructed VR map Line 1 VR parameters stored in the column pixel, i.e. VR information of the corresponding user position, user index And (3) with And The corresponding relation of (2) is ; Because the VR parameters reflect the state of whether the user can establish effective communication links with all antenna units in the whole antenna array, and the ultra-large-scale MIMO antenna array has larger scale, each complete VR parameter occupies larger storage space, and the VR partitions are limited in number and have the same number of partitions considering that all users in each VR partition share the same VR parameter Number of significant values to VR parameters Satisfy the following relation , Thus, when storing VR data, a smaller value VR tag is used The VR parameters with larger index values only reserve the true value of one VR parameter in each VR partition; in use, each user position is passed through The "addressing" finds its corresponding VR parameters, the VR labels corresponding to different VR partitions are different at the same time, and in general, The effective value range of (C) is [0, K ].
  7. 7. The method of claim 6, wherein S105 is embodied as first dividing the grid points according to VR parameter values: , then dividing the coverage area into a plurality of subareas according to the grid point dividing result: , Each sub-region Corresponding to a VR group, having independent and unique VR parameters ; After obtaining the VR parameters of the sampled beacon users, based on the sampled measured angle parameter data set Predicting angle parameters of other users in the VR region by using a spatial interpolation technology: , Wherein, the Representing a user Is used for the angle parameter of the (a), Representing an angle interpolation function; according to the angle parameters in all VR areas, the angle parameter sampling measurement or interpolation prediction results of all grid points are synthesized, and finally, the complete angle channel map in the target coverage area can be obtained, namely , Wherein, the Representing the first of the constructed maps Line 1 The angle parameters stored in the column pixel points, namely the angle information of the corresponding user positions.
  8. 8. The method of claim 7, wherein S106 is embodied as jointly constructing VR maps And angle map VR and Angle parameters for each grid point position As attribute values of corresponding pixel points in the map, a user VR-angle joint channel map is constructed by storing VR and angle parameters of all the pixel points, namely , Wherein, the Representing the first of the constructed VR-angle joint map Line 1 VR and parameters stored in the pixel point are listed, namely VR and information of the corresponding user position; The method comprises the steps of periodically sampling a small number of positions in a coverage area to send uplink pilot signals, and obtaining a newly added sampling data set: , Wherein, the Representing the set of user positions of the latest sample, and then combining the original sample measurement data Performing spatial interpolation to obtain updated VR and angle parameters: , Then, the grid points and the sub-areas are re-divided according to the updated VR parameters: , And in each sub-region And (3) predicting and updating the angle parameters of the rest positions according to the known angle parameters respectively: , Finally, combining the updated user VR and angle parameters, and dynamically updating the VR-angle joint channel map: , Wherein, the And Respectively representing updated user VR and angle parameters.
  9. 9. A computer readable storage medium having stored thereon a computer program, wherein the program when executed by a processor performs the steps of the VR-angle joint channel map construction method for ultra-large scale MIMO as in any one of claims 1-8.
  10. 10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor, when executing the program, implements the steps of the VR-angle joint channel map construction method for very large scale MIMO as set forth in any one of claims 1 to 8.

Description

VR-angle joint channel map construction method for super-large-scale MIMO Technical Field The invention belongs to the technical field of wireless communication, and particularly relates to a VR-angle joint channel map construction method for ultra-large-scale MIMO. Background In the development process of the sixth generation mobile communication (6G) system facing the future, the development and utilization of space resources meet the higher-level demands. As a core support technology of the physical layer, a very large-scale multiple input multiple output (XL-MIMO) technology plays an irreplaceable role in enhancing spatial multiplexing performance of a 6G system. However, it should be noted that, due to the non-stationary characteristic of electromagnetic wave propagation in space, the ultra-large-scale MIMO system exhibits a unique near-field Visible Region (VR) channel characteristic, which is embodied in that a part of the antenna units in the antenna array can only form an effective communication link with a specific user, and the part of the antenna units with dedicated communication directivity is defined as VR of the user. The channel characteristics provide a brand new idea for grouping users in a coverage area, namely, the users can be divided into different groups through the characteristics, so that the users in the same group have consistent VR parameters, and the VR parameters of the users in different groups have obvious differences. It is noted that when VR ranges of the user groups do not overlap each other, the transmission channels corresponding to the user groups will naturally have orthogonality. Based on the characteristics, user grouping can realize ideal space separation among different user groups, so that the dimension of a channel matrix is effectively reduced, and a powerful support is provided for simplifying the transmission scheme of the ultra-large-scale MIMO system. While for multiple users within the same VR group, the locations of the users are different from each other, and thus the signal transmission angles between the users and the antenna array VR are also different, although they "see" the same part of the antenna array at the base station side. Based on this, a fine separation of users within VR packets may be achieved with angle parameters. Specifically, on the premise that VR and angle information of users are known, ultra-large-scale MIMO can firstly utilize VR information to realize coarse grouping of users on a space domain, then utilize angle information to realize fine separation of users in the group, finally realize space separation of all users, and provide technical support for orthogonal transmission. Therefore, the user VR and angle information are critical to the ultra-large scale MIMO system orthogonal transmission. However, because the coverage area of the ultra-large-scale MIMO antenna array is too large, the existing channel parameter acquisition method based on all-position pilot measurement and feedback generates huge pilot overhead, which makes the system difficult to bear. How to accurately acquire the user VR and the angle information with low overhead is an important problem to be solved for realizing orthogonal transmission design of a super-large-scale MIMO system. In consideration of that users with similar spatial positions in the coverage area of the ultra-large-scale MIMO antenna array have similar VR and angle characteristics, only a small number of beacon users can be selected to transmit uplink pilot signals when uplink pilot measurement is performed, VR and angle parameters of other positions are interpolated and predicted according to measurement results, and each user is not allowed to transmit uplink pilot signals, so that the pilot overhead of the ultra-large-scale MIMO system is reduced. In addition, although the electromagnetic propagation environment where the ultra-large-scale MIMO system is located can change slowly along with time, in a shorter time range, the channel environment can be regarded as quasi-static, so that VR and angle information obtained by current sampling measurement or interpolation prediction of users at different positions in the coverage area of an antenna can be used as a basic storage unit to construct a VR-angle joint channel map, and a path is provided for subsequent quick retrieval and acquisition of VR and angle information, thereby avoiding repeated measurement of VR and angle parameters and further reducing pilot frequency overhead of the system. From the foregoing, it can be seen that VR-angle joint channel maps have many advantages in terms of low overhead acquisition of VR and angle information. In order to guide a super-large-scale MIMO system to realize orthogonal transmission design by utilizing a VR-angle joint channel map, a method for effectively constructing the map needs to be studied first. Disclosure of Invention Aiming at the problems, the invention provides a VR-angle joint c