基于RIS的无蜂窝大规模MIMO联合预编码与功控研究OA

Cell-free massive multiple-input multiple-output(CF-mMIMO)systems,which eliminate inter-cell interfer-ence and enhance spectral efficiency,are considered as a key enabling technology for 6th generation mobile communica-tions(6G).Meanwhile,reconfigurable intelligent surface(RIS),featuring low power consumption,programmability,and flexible deployment,offers significant potential for improving channel quality and extending coverage.In this paper,a RIS-assisted CF-mMIMO system was investigated,and a joint optimization problem involving power control,precoding,and RIS phase adjustment was formulated to maximize energy efficiency(EE).To tackle this non-convex multi-variable problem,an alternating optimization framework was proposed.Specifically,the precoding and RIS phase subproblems were decoupled and solved using the Lagrangian dual transform and fractional programming,while the power control subprob-lem was addressed via Newton method.Simulation results demonstrate that the proposed scheme achieves faster convergence and significantly outperforms the conventional uniform power allocation methods.Moreover,it simultaneously improves both energy efficiency and communication rate,effectively enabling the joint optimization of spectrum efficiency(SE)and EE.