Secrecy Energy Efficiency Maximization for RSMA-Based UAV Communication with Multiple Colluding Eavesdropperse

This paper explores a rate splitting multiple access (RSMA)-based unmanned aerial vehicle (UAV) communication system aimed at enhancing secrecy energy efficiency. An UAV communicates with ground users while multiple colluding eavesdroppers intercept the signals. The secrecy energy efficiency is optimized by designing the RSMA precoding matrix and UAV trajectory, subject to constraints on UAV energy consumption and data requirements. To address the complexity of coupled variables, an iterative algorithm combining the Dinkelbach algorithm and block coordinate descent method is proposed. Simulation results indicate that the secrecy performance of the proposed algorithm outperforms that of the benchmark schemes.