Research on Total Power Optimization of NOMA-ISAC System Assisted by Dual Active RIS

. In this work, a dual active reconfigurable intelligent surface (RIS)-assisted non-orthogonal multiple access (NOMA) integrated sensing and communication (ISAC) system is studied. The system meets the communication rate requirements of users and the performance requirements of sensing targets, with the goal of minimizing the total system power. A model is constructed with total system power as the optimization objective, where ARIS1 is deployed near the base station and ARIS2 is deployed near the users. The dual active RIS satisfies the uplink communication of users, while the base station performs radar sensing with the target. The non-convex optimization problem is transformed into a convex one using the semidefinite relaxation (SDR) algorithm and solved with the CVX toolbox. By optimizing user power, base station beamforming, and ARIS phase shifts, the system power is effectively reduced. Simulation results show that the proposed optimization strategy significantly reduces the total system power compared to traditional schemes, verifying the effectiveness and superiority of the proposed method.