In this paper, we investigate a simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisting a massive multiple-input multiple-output (mMIMO) system. In particular, we derive a closed-form expression for the coverage probability of a STAR-RIS assisted mMIMO system while accounting for correlated fading and phase-shift errors. Notably, the phase configuration takes place at every several coherence intervals by optimizing the coverage probability since the latter depends on statistical channel state information (CSI) in terms of large-scale statistics. As a result, we achieve a reduced complexity and overhead for the optimization of passive beamforming, which are increased in the case of STAR-RIS networks with instantaneous CSI. Numerical results corroborate our analysis, shed light on interesting properties such as the impact of the number of RIS elements and the effect of phase errors, along with affirming the superiority of STAR-RIS against reflective-only RIS.
翻译:在本文中,我们研究的是同时传送和反映可重新配置的智能表面(STAR-RIS),它有助于大规模多投入多产出(MIMO)系统,特别是,我们对STAR-RIS协助的MIMO系统的覆盖概率有一个封闭式表达方式,同时考虑到相关退缩和阶段性转移错误,值得注意的是,阶段配置每隔几个时间间隔,通过优化覆盖概率,因为后者在大规模统计方面依赖于统计渠道国家信息(CSI),从而在优化被动波束方面实现降低复杂性和间接费用,在STAR-RIS网络中,被动波束成型在瞬时CSI方面有所增加。 数字结果证实了我们的分析,揭示了诸如RIS元素数量的影响和阶段性错误的影响等有趣的特性,同时肯定STAR-RIS相对于仅反射的RIS的优势。