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Analysis and Optimization for RIS-Aided Multi-Pair Communications Relying on Statistical CSI

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Document pages: 6 pages

Abstract: In this paper, we investigate a reconfigurable intelligent surface (RIS)aided multi-pair communication system, in which multi-pair users exchangeinformation via an RIS. We derive an approximate expression of the achievablerate by assuming that statistical channel state information (CSI) is available.A genetic algorithm (GA) to solve the rate maximization problem is proposed aswell. In particular, we consider implementations of RISs with continuous phaseshifts (CPSs) and discrete phase shifts (DPSs). Simulation results verify thecorrectness of the obtained results and show that the proposed GA method hasalmost the same performance as the globally optimal solution. In addition,numerical results show that three quantization bits can achieve a large portionof the sum achievable rate for the CPSs setup.

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