Rate Optimization and Interference Suppression in RIS-assisted MIMO Systems

Junwei Chai, Yunhui Yi, Xiandeng He, Zicheng Xing, Yuanxinyu Luo, Xingcai Zhang
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Abstract

Abstract—Since the beginning of the modern era of wireless communication, the propagation medium has been considered a randomly behaving entity between transmitter and receiver, which degrades the quality of the received signal due to the uncontrollable interaction between the transmitted radio waves and the propagation medium. In 5G systems, in order to obtain higher spectrum efficiency, multiple-input multiple-output (MIMO) is introduced. When MIMO is applied in a multi-cell scenario, inter-cell interference will inevitably deteriorate the quality of service (QoS) of cell edge users. For a cell-edge user that suffers both high signal attenuation from its serving Base Station(BS) and severe co-channel interference from a neighboring BS, an Reconfigurable intelligent surfaces (RIS) can be deployed at the cell edge to help not only improve the desired signal power but also suppress the interference by properly designing its reflect beamforming, thus creating a “signal hotspot” as well as “interference-free zone” in its vicinity. The presence of RIS provides the possibility for different communication needs between multiple devices. This paper proposes a multi-objective optimization method based on non-dominated sorting genetic algorithm II(NSGAII) to improve the achievable rate of communication users while reducing interference to non-communication users.
ris辅助MIMO系统的速率优化与干扰抑制
摘要:自现代无线通信时代开始以来,传播介质一直被认为是发射器和接收器之间的随机行为实体,由于发射的无线电波与传播介质之间的不可控相互作用,导致接收信号的质量下降。在5G系统中,为了获得更高的频谱效率,引入了多输入多输出(MIMO)技术。当MIMO应用于多小区场景时,小区间干扰不可避免地会降低小区边缘用户的服务质量(QoS)。对于受到服务基站(BS)的高信号衰减和来自相邻基站的严重同信道干扰的蜂窝边缘用户,可以在蜂窝边缘部署可重构智能表面(RIS),不仅可以帮助提高期望的信号功率,还可以通过适当设计其反射波束形成来抑制干扰,从而在其附近创建“信号热点”和“无干扰区”。RIS的存在为多个设备之间的不同通信需求提供了可能。本文提出了一种基于非支配排序遗传算法II(NSGAII)的多目标优化方法,以提高通信用户的可达率,同时减少对非通信用户的干扰。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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