ARIS辅助多天线RSMA系统中断分析与优化OA

An active reconfigurable intelligent surface(ARIS)-aided rate-splitting multiple access(RSMA)system in a multi-antenna multi-user scenario was investigated,and a transmission framework that integrated base station antenna selection with user side combining techniques was proposed.The statistical characteristics of cascaded user channels were derived based on selection combining(SC)and maximal ratio combining(MRC),then an outage probability analysis model was established,yielding analytical expressions for the outage probability in multi-anten-na multi-user scenarios.Furthermore,to minimize the system outage probability,for both combining schemes,power allocation optimization problems were formulated and solved via a differential evolution(DE)algorithm.Simulation results demonstrated that deploying multiple antennas at the user side and adopting appropriate antenna selection strategies could significantly reduce the outage probability,thereby confirm the scalability and robustness of the proposed ARIS-RSMA framework in complex communication environments.