Energy Efficiency Optimization of FRIS-Assisted NOMA System
An alternating optimization (AO) framework is developed by integrating Dinkelbach’s method, first-order Taylor expansion, and a top- $M_{o}$ activation mechanism to maximize energy efficiency for a non-orthogonal multiple access (NOMA) system under predefined quality-of-service (QoS) constraints.