Power Minimization for Movable Antenna-Aided Uplink NOMA System With Group-Level Successive Interference Cancellation

Movable antenna (MA) is a promising technology that provides additional degrees of freedom by altering antenna positions. In this letter, a transmission scheme is proposed to minimize total transmit power for MA-assisted uplink NOMA system, which accounts for group-level successive interference cancellation (GSIC) and residual interference stemming from the decoded groups. To address the joint optimization problem of MA positions, power control, and equalizers, a dual-loop iteration scheme based on particle swarm optimization (PSO) is developed. In the outer loop, the PSO method is invoked to optimize the MA positions, while the inner loop jointly optimizes the power control and the equalizers, thereby converting the formulated problem into a tractable one. Simulation results demonstrate that the proposed scheme significantly reduces the total transmit power of all users and outperforms the traditional fixed-position antenna (FPA) and the orthogonal multiple access (OMA) schemes in terms of power consumption.