We focus on the realistic maximization of the uplink minimum signal-to-interference-plus-noise ratio (SINR) of a general multiple-input single-output (MISO) system assisted by an intelligent reflecting surface (IRS) in the large system limit accounting for HIs. In particular, we introduce the HIs at both the IRS (IRS-HIs) and the transceiver HIs (AT-HIs), usually neglected despite their inevitable impact. Specifically, the deterministic equivalent analysis enables the derivation of the asymptotic weighted maximum-minimum SINR with HIs by jointly optimizing the HIs-aware receiver, the transmit power, and the reflect beamforming matrix (RBM). Notably, we obtain the optimal power allocation and reflect beamforming matrix with low overhead instead of their frequent necessary computation in conventional MIMO systems based on the instantaneous channel information. Monte Carlo simulations verify the analytical results which show the insightful interplay among the key parameters and the degradation of the performance due to HIs.
翻译:具体地说,确定式的等同分析通过联合优化HIs-aware接收器、传输动力和反射成型矩阵(RBM),使得总多输出单输出量系统(MISO)在大型系统限度内有一个智能反射表面(IRS)的辅助系统(IRS)的辅助系统(IRS-HIS)和收发机HIS(AT-HIS)的HIS(AT-HI)都采用高载荷,尽管其影响不可避免,但通常被忽略。具体地说,确定式的等同分析使得通过联合优化HIs-aware接收器、传输动力和反射成型矩阵(RBMM),能够得出空控器的高度指数,反映低管理模式,而不是根据即时道信息经常在常规MIIM系统中进行的必要计算。 Monte Carlo模拟核查了分析结果,这些分析结果显示关键参数之间有洞察力的相互作用以及HIs的性能退化。