We study the performance of a phase-noise impaired double reconfigurable intelligent surface (RIS)-aided multiuser (MU) multiple-input single-output (MISO) system under spatial correlation at both RISs and base-station (BS). The downlink achievable rate is derived in closed-form under maximum ratio transmission (MRT) precoding. In addition, we obtain the optimal phase-shift design at both RISs in closed-form for the considered channel and phase-noise models. Numerical results validate the analytical expressions, and highlight the effects of different system parameters on the achievable rate. In particular, it is demonstrated that while phase-noise at RISs and spatial correlation at BS are capacity limiting factors, the spatial correlation at both RISs is essential to obtain high achievable rates.
翻译:我们根据空间相关关系,在RIS和基础站(BS)中研究分阶段噪音受损的双重可重新校准智能表面(RIS)辅助多用户(MU)多投入单体产出(MISO)系统的性能,在最大比率传输(MRT)预编码下,从封闭式组合中得出下链路可实现的速率,此外,我们在考虑的频道和阶段噪声模型中以封闭式组合获得最佳分阶段设计。数字结果验证了分析表达方式,并突出了不同系统参数对可实现速率的影响。 具体地说,已经表明,尽管在最低比率传输(MRT)和基准站(BS)的空间相关性是限制能力的因素,但两种RIS的空间相关性对于获得高可实现速率至关重要。