In this letter, we investigate the signal-to-interference-plus-noise-ratio (SINR) maximization problem in a multi-user massive multiple-input-multiple-output (massive MIMO) system enabled with multiple reconfigurable intelligent surfaces (RISs). We examine two zero-forcing (ZF) beamforming approaches for interference management namely BS-UE-ZF and BS-RIS-ZF that enforce the interference to zero at the users (UEs) and the RISs, respectively.Then, for each case, we resolve the SINR maximization problem to find the optimal phase shifts of the elements of the RISs. Also, we evaluate the asymptotic expressions for the optimal phase shifts and the maximum SINRs when the number of the base station (BS) antennas tends to infinity. We show that if the channels of the RIS elements are independent and the number of the BS antennas tends to infinity, random phase shifts achieve the maximum SINR using the BS-UE-ZF beamforming approach. The simulation results illustrate that by employing the BS-RIS-ZF beamforming approach, the asymptotic expressions of the phase shifts and maximum SINRs achieve the rate obtained by the optimal phase shifts even for a small number of the BS antennas.
翻译:在此信里,我们分别调查多用户大规模多投入多输出(Massive MIMO)系统中的信号到干涉-干涉-干涉-干涉-干涉-干涉-最大-最大干涉-最大(SINR)问题。然后,在每种情况下,我们解决SINR最大化问题,以找到RIS各要素的最佳阶段变化的最佳阶段。此外,我们评估了最佳阶段变化的无源表达方式,以及在基站天线数量趋于不精确时最大的SIMR。我们发现,如果RIS各元素的渠道是独立的,而BS天线的数量往往不尽相同,那么,随机阶段的变化将达到使用BS-UE-ZF最优化的SINRRR,将S最优化阶段的S-最优化阶段作为SB-F最优化的S-最优化阶段。我们用SB-F最优化的S-最优化的版本方法,通过模拟的SISRRA达到最优化阶段。</s>