UAV-Mounted Intelligent Reflecting Surface in Maritime Wireless Powered Communication Network  

作　　者：Liu Yuan Han Fengxia Zhao Shengjie 

机构地区：[1]School of Information Science and Electrical Engineering,Shandong Jiaotong University,Jinan 250357,China [2]College of Electronic and Information Engineering,Tongji University,Shanghai 201804,China [3]School of Software Engineering,Tongji University,Shanghai 201804,China [4]Engineering Research Center of Key Software Technologies for Smart City Perception and Planning,Ministry of Education,Shanghai 200003,China [5]Key Laboratory of Embedded System and Service Computing Tongji University,Shanghai 201804,China

出　　处：《China Communications》2025年第3期254-269,共16页中国通信(英文版)

基　　金：supported in part by the National Key R&D Program of China 2023YFC3806000 and 2023YFC3806002;in part by the National Natural Science Foundation of China under Grant 61936014,62201388 and 62371342;in part by Shanghai Municipal Science and Technology Major Project No.2021SHZDZX0100;in part by Shanghai Science and Technology Innovation Action Plan Project 22511105300;in part by Natural Science Foundation of Shanghai:22ZR1463400.

摘　　要：Intelligent reflecting surface(IRS)assisted with the wireless powered communication network(WPCN)can enhance the desired signal energy and carry out the power-sustaining problem in ocean monitoring systems.In this paper,we investigate a reliable communication structure where multiple buoys transmit data to a base station(BS)with the help of the unmanned aerial vehicle(UAV)-mounted IRS and harvest energy from the base station simultaneously.To organically combine WPCN with maritime data collection scenario,a scheduling protocol that employs the time division multiple access(TDMA)is proposed to serve multiple buoys for uplink data transmission.Furthermore,we compare the full-duplex(FD)and half-duplex(HD)mechanisms in the maritime data collection system to illustrate different performances under these two modes.To maximize the fair energy efficiency under the energy harvesting constraints,a joint optimization problem on user association,BS transmit power,UAV’s trajectory and IRS’s phase shift is formulated.To solve the non-convex problem,the original problem is decoupled into several subproblems,and successive convex optimization and block coordinate descent(BCD)methods are employed obtain the near-optimal solutions alternatively.Simulation results demonstrate that the UAV-mounted IRS can significantly improve energy efficiency in our considered system.

关 键 词：full-duplex IRS joint optimization TDMA UAV WPCN 

分 类 号：TN92[电子电信—通信与信息系统] V279[电子电信—信息与通信工程]