Joint Location and Beamforming Optimization for STAR-RIS Aided NOMA-UAV Networks

• Published in: IEEE transactions on vehicular technology Vol. 72; no. 8; pp. 11023 - 11028
• Main Authors: Su, Yuhua, Pang, Xiaowei, Lu, Weidang, Zhao, Nan, Wang, Xianbin, Nallanathan, Arumugam
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.08.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Array signal processing; Autonomous aerial vehicles; Beamforming; Non-orthogonal multiple access; Nonorthogonal multiple access; Optimization; reconfigurable inte- lligent surface; Resource management; Signal to noise ratio; simultaneous transmission and reflection; Trajectory; unmanned aerial vehicle; Unmanned aerial vehicles; Wireless networks
• ISSN: 0018-9545; 1939-9359
• DOI: 10.1109/TVT.2023.3261324

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.