CN-115208448-B - Group construction method of distributed adjustable intelligent super-surface

CN115208448BCN 115208448 BCN115208448 BCN 115208448BCN-115208448-B

Abstract

The invention provides a distributed adjustable intelligent super-surface group construction method, which comprises the steps of arranging IRS around a base station as a supplement of a 6G network, determining the deployment area of the IRS according to the position of the base station and the range of service users, obtaining user information, determining the number of the IRS according to the number of users in the service range of the base station, introducing a beam forming and phase optimizing algorithm, considering the single-sided orientation limitation of the IRS, obtaining the coordinate parameters of the users, statistically analyzing to obtain the distribution characteristics of the users, determining whether the deployment mode adopts distributed deployment or centralized deployment according to the edge position of the service range of the base station or not according to the distribution position of the users, initializing the coordinate of the IRS, carrying out initial deployment, continuously carrying out iterative optimization to obtain the optimal coordinate of each IRS, and completing the construction of the distributed IRS group, wherein different IRS groups exist for each user to provide services for each user due to different position information.

Inventors

ZHANG HONGTAO
ZHU YUTING
WANG YINGJIE

Assignees

北京邮电大学
北京邮电大学

Dates

Publication Date: 20260421
Application Date: 20220617
Priority Date: 20220617

Claims (4)

1. A group construction method of a distributed adjustable intelligent super-surface is characterized by comprising the following steps of arranging IRS around a base station as a supplement of a 6G network, determining an IRS deployment area according to the position of the base station, the direction of the IRS and the range of IRS service users, acquiring user information and IRS user clusters, determining the number of IRS according to the number K of users in the service range of the base station, and acquiring the IRS user clusters by taking the single-sided reflection characteristic of the IRS, namely, only the users on the same side as the base station can be served, introducing the IRS and the angle characteristic of the users, and obtaining the IRS user clusters The decision criterion of the user cluster is that , wherein, Representing a user The distance from the base station, , Representing the distance between the subsurface and the base station, , Representing a user And intelligent reflecting surface The method comprises the steps of obtaining coordinate information of a user, determining an IRS deployment mode by adopting a beamforming and phase optimization algorithm, specifically, taking throughput of the whole network as an optimization target, and optimizing variables as a beamforming matrix V and a phase matrix phi to obtain the following optimization problems: Wherein The fairness of the users is characterized by that, Is the rate at which the user is presented, Is the beamforming matrix of the base station to user i, all users are fair, i.e All equal to 1, the constraint condition P is the total power of the base station, namely the total power of the user transmission power is required to be lower than the total power of the base station, the optimization problem is solved by adopting the iteration of an alternate optimization algorithm to achieve convergence, the optimization problem is divided into two sub-problems, a fixed phase matrix optimized beam forming matrix and a fixed beam forming matrix optimized phase matrix, the iteration number of the alternate optimization algorithm is recorded as D, and the iteration number of the fixed phase matrix optimized beam forming matrix is recorded as D The fixed beamforming matrix optimizes the iteration number of the phase matrix to be By adjusting different parameters The sum rate diagram of users in different scenes can be obtained, if the sum rate diagram shows that the users are distributed randomly, the users are deployed on the side close to the base station, IRS centralized deployment is adopted, if the users are distributed on the edge of the service range of the base station, IRS distributed deployment is adopted, the coordinates of IRS are initialized according to a determined IRS deployment mode, initial deployment is carried out, and the optimal positions of the IRS are obtained through continuous iterative optimization of relevant parameters, so that distributed IRS group construction is completed.
2. The method of claim 1, wherein the deployment area of the IRS is determined based on the location of the base station and the service area of the base station taking into account the circular service area of the base station, the service area of the base station being set to The base station is positioned at the center of the circle, and the users are randomly distributed on the inner circle with the radius of being The outer circle radius is Is provided.
3. The method of claim 1, wherein the number of IRSs is determined based on the number of users, and wherein a single IRS is configured to service at most Individual users, the number of users in the area is obtained Determining the number of IRS as Wherein Representing an upward rounding.
4. The method of claim 1 wherein the optimal location of each IRS is obtained by continuous iterative optimization, i.e., the coordinate information of each user is obtained, each user has an IRS serving it, and the IRS is clustered by users of the IRS IRS service cluster of user i can be obtained Summing the minimum distance between user i and intelligent reflecting surface j, i.e At this time, the IRS is closest to the user served by the IRS, so that the communication effect is best, and the service quality is best, and therefore, the coordinates of the jth IRS need to be continuously and iteratively updated until the optimal solution of the problem is obtained, and the distributed IRS group construction is completed.

Description

Group construction method of distributed adjustable intelligent super-surface Technical Field The invention relates to the technical field of wireless communication, in particular to a distributed group construction method of an adjustable intelligent super surface in future sixth generation mobile communication (6th Generation,6G). Background Currently, an intelligent super-surface, also called an intelligent reflection surface IRS, has become one of 6G research hot spot technologies, and has the advantages of low cost, no need of receiving and transmitting capacity of the IRS compared with traditional relay equipment, only need of reflecting signals, reconfigurable channels, flexible deployment, no need of other additional equipment assistance such as a power amplifier, a processor and the like, and capability of being deployed on the outer surface of a building by controlling a reflection unit on the IRS to actively control the reflection signals and reconstruct channels between a user and a base station. In the process of configuring the IRS, the number of reflection units on the IRS and the positions of the IRS are considered generally, and common deployment modes are centralized deployment, namely centralized on a single IRS and distributed deployment, namely the multiple reflection units are distributed on a panel of the multiple IRS. The centralized deployment generally considered can bring better capacity or overall rate improvement, but increases the service gap between the central user and the edge user, so that the service quality of the edge user is difficult to ensure, and the fairness of all users in the system is not guaranteed. While distributed deployment has fewer reflection units on each IRS, the connection probability between the IRS and the user can be improved, and the channel capacity of the user is improved. The flexible deployment and reflection characteristics of IRS bring richer network resources and ubiquitous access opportunities, the distribution of IRS is adjusted according to the demands of users in the network, the service quality of network users can be guaranteed in a robust way, however, the addition of IRS makes the interference topology more complex, meanwhile, the cascade channel of base station-IRS-users can make the signal processing of the combined base station and IRS more complex, and the intelligent super surface introduces the cascade channel into the original channel, so that the mathematical structure of the original beamforming algorithm is changed, and the combined beamforming design and phase optimization are needed, therefore, the requirement for constructing the group of IRS and optimizing the algorithm is very high. Based on the method, the system and the device, the adjustable distribution model is built according to the distribution parameters of the users and by considering the total throughput of the system, the group construction is carried out by considering the direction problem of the IRS, the users are served by multiple IRS, the overall service quality of the users is ensured, and the system performance is improved. Disclosure of Invention The invention provides a distributed adjustable intelligent super-surface group construction method, which comprises the steps of firstly determining the deployment area of IRS according to the position of a base station, then determining the number of IRS according to the number of users, then introducing a beam forming and phase optimizing algorithm, considering the single-sided orientation limitation of the IRS, determining the deployment mode according to the distribution position of the users, finally determining the deployment position of the IRS according to the continuous iterative optimization of the coordinate information of the users, and completing the distributed IRS group construction, wherein different IRS groups exist for each user to provide services for each user due to different position information. The IRS configuration method of the invention comprises the following steps: step 200, determining the deployment area of the IRS according to the position of the base station. Let the service range of the base station be a circle with r 0 as radius, the base station is at the position of the center of the circle, the users are randomly distributed on the ring with the inner circle radius lambda 2r0(0＜λ2 < 1) and the outer circle radius r 0. The IRS deployment area is the circle with the base station as the center and the radius r 0, and in the circle, the invention further introduces the parameter lambda 1(0＜λ1 < 1) to ensure that the IRS is uniformly distributed on the circle with the radius lambda 1r0. Step 210, determining the number of IRS according to the number of users. The IRS can serve a plurality of users through wave beam forming design, and a single IRS can serve K 0 users at most, so that the number K of the users in the area is obtained according toThe number N of IRSs is determ