Energy-efficient UAV-NOMA aided wireless coverage with massive connections

作     者：Yuqiao TONG Min SHENG Junyu LIU Nan ZHAO Yuqiao TONG;Min SHENG;Junyu LIU;Nan ZHAO

作者机构：School of Information and Communication EngineeringDalian University of Technology State Key Laboratory of Integrated Services NetworksXidian University 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2023年第66卷第12期

页      面：194-208页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 082503[工学-航空宇航制造工程] 081001[工学-通信与信息系统] 0825[工学-航空宇航科学与技术] 

基　　金：supported by National Key R&D Program of China (Grant No. 2020YFB1807002) National Natural Science Foundation of China (Grant No. 62271099) 

主　　题：energy efficiency non-orthogonal multiple access trajectory optimization unmanned aerial vehicle wireless coverage 

摘      要：In this paper, we propose an unmanned aerial vehicle(UAV)-assisted wireless coverage scheme,wherein UAVs help to serve the cell-edge users for ground base stations based on non-orthogonal multiple access(NOMA). The combined benefits of wide coverage and massive connections enable UAV-NOMA-aided wireless coverage to effectively meet the requirements of the Internet of Everything. Meanwhile, energy efficiency(EE) is maximized via resource allocation to address the issue of the power supply bottleneck of UAVs. The non-convex optimization problem is transformed into two convex subproblems of trajectory optimization and power allocation, and an iterative alternating optimization algorithm is proposed to address it effectively. Moreover, we further considered the energy consumption of the ground base stations, effectively minimizing it by optimizing precoding while guaranteeing average throughput. Numerical results verify the effectiveness of the proposed UAV-aided wireless coverage scheme and demonstrate the EE improvement.