Mobility STAR-RIS-Assisted Indoor NOMA Networks Maximizing Secrecy Energy Efficiency Study

Compared to traditional RIS, STAR-RIS has a wider coverage and is more valuable in complex environments. Exploiting the potential of STAR-RIS in MIMO-assisted NOMA systems, this paper proposes a mobile passive STAR-RIS-assisted indoor secure communication system designed to maximize the security energy efficiency (SEE) of the system. Since the resulting problem is non-convex, we perform the optimization of the two sub-problems by alternating iterations. Specifically, the Gd-Dinkelbach algorithm is designed to solve the beamforming optimization subproblem under fixed phase shift, and the original problem is correspondingly transformed into the secrecy maximization problem after its solution is obtained. On this basis, the PSO algorithm is innovatively applied to optimize the phase shift and amplitude in STAR-RIS. The simulation results demonstrate the effectiveness of the proposed algorithm in the proposed environment, and clearly show the influence of various parameter factors on the final result.