Throughput Maximization for UAV-Mounted-STAR-RIS Assisted Wireless Communication Network

By exploring spacial freedom, unmanned aerial vehicle (UAV) equipped with simultaneous transmission-reflection reconfigurable intelligent surfaces (STAR-RIS) can be used as airborne relay platforms to significantly improve the coverage and transmission performance of wireless networks. In this work, considering a UAV-STAR-RIS assisted multi-user network, we investigate the throughput maximization problem by jointly optimizing the beamforming (BF) vector, transmission-reflection coefficients (TRCs), and UAV trajectory. Since the throughput maximization problem is inherently NP-hard, we apply a two-step alternating optimization method (AOM) based algorithm using the penalty dual decomposition (PDD) and the successive convex approximation (SCA) to effectively solve the problem. Numerical results verify that the algorithms have better convergence and can improve the overall throughput.