Joint Location and Beamforming Optimization for STAR-RIS Aided NOMA-UAV Networks
Yuhua Su, Xiaowei Pang, Weidang Lu, Nan Zhao, Xianbin Wang, Arumugam Nallanathan
Abstract
This work investigates the potential of combining unmanned aerial vehicle (UAV) and simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) in wireless networks. In particular, the signals from UAV can be reflected and transmitted through STAR-RIS to the users on both sides of the surface to provide full-space coverage. We formulate a sum-rate maximization problem in STAR-RIS aided non-orthogonal multiple access UAV networks, where the location and power allocation of UAV, and the passive reflection/transmission beamforming of STAR-RIS are jointly optimized, subject to the quality-of-service requirement. Furthermore, we transform the non-convex problem into a convex one and propose an efficient algorithm to obtain the suboptimal solution to the original problem. Simulation results verify the superiority of the proposed scheme compared to other benchmarks.