Research on Transmission Scheme Based on Reconfigurable Intelligent Surface in Dense Urban Agglomeration

doi:10.12141/j.issn.1000-565X.230016

Abstract

Abstract:

Due to the shortage of low-frequency resources, the future mobile communication network will gradually shift to higher frequency bands. The free space propagation loss, diffraction loss and penetration loss of electromagnetic waves are large, so it is easy to produce coverage blind spots and weak coverage areas. Reconfigurable Intelligent Surface (RIS) has become a new hot spot to solve the coverage problem of dense urban agglomerations by reconfiguring the propagation environment of signals to improve network performance and expand network coverage. Based on the multi-hop communication mode of the next generation mobile communication network with RIS participation in dense urban agglomerations, the multi-hop RIS transmission scheme was compared with a proposed decode-and-forward (DF) relay-assisted multi-hop RIS transmission scheme (DF-RIS). Firstly, the transmission loss, energy efficiency and system capacity of the two transmission schemes were theoretically derived and analyzed. Secondly, the simulation was carried out in the three-dimensional environment model of dense urban agglomeration. In order to improve the problem of reducing the efficiency of complex environment search and increasing the amount of calculation, an improved Lazy Theta * algorithm was proposed, and the search time and search path length of the improved algorithm and the common path search algorithm were simulated and compared. The improved algorithm was used to select the nodes required by the two transmission schemes in the same simulation environment. The different locations of the DF relay in the multi-hop DF-RIS transmission scheme were considered in the node selection. After determining the nodes, the transmission loss, energy efficiency and system capacity of the two transmission schemes were simulated and compared. The simulation results not only verify the effectiveness of the improved Lazy Theta * algorithm, but also illustrate the relationship between the number of RIS reflection elements and the performance of the two transmission schemes. It shows that the two transmission schemes have their own applicability, and the appropriate transmission scheme can be selected according to the actual requirements for performance.

Key words: reconfigurable intelligent surface, decode-and-forward relay, multi-hop transmission, improved Lazy Theta* algorithm, dense urban agglomeration

CLC Number:

TN929

ZHUANG Ling, LIU Yuhang. Research on Transmission Scheme Based on Reconfigurable Intelligent Surface in Dense Urban Agglomeration[J]. Journal of South China University of Technology(Natural Science Edition), 2024, 52(3): 112-118.

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A*算法	Theta*算法	Lazy Theta*算法	改进算法
5.140	4.270	4.111	3.230
5.046	4.358	4.043	3.536
6.020	4.024	4.018	2.012
5.046	4.049	3.947	4.018

A*算法	Theta*算法	Lazy Theta*算法	改进算法
641.470	601.037	599.167	586.941
651.446	605.357	605.181	583.521
622.517	596.305	594.659	583.521
649.645	613.960	612.613	583.639

传输方案	部署RIS节点
传输方案	搜索路径1	搜索路径2	搜索路径3
多跳RIS	6	5	6
多跳DF-RIS	5	4	5

RIS反射元件数L	传输方案	传输损耗/dBm
3	多跳RIS	157.53	151.61	158.71
3	多跳DF-RIS	160.53	154.61	161.71

7	多跳RIS	185.53	175.61	178.71
7	多跳DF-RIS	174.53	164.61	167.71

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