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作 者:Peizhong Xie Junjie Jiang Ting Li Yin Lu
机构地区:[1]School of Communication and Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China [2]Key Lab of Broadband Wireless Communication and Sensor Network Technology(Nanjing University of Posts and Telecommunications),Ministry of Education,Nanjing 210003,China
出 处:《China Communications》2024年第2期197-209,共13页中国通信(英文版)
摘 要:The Backscatter communication has gained widespread attention from academia and industry in recent years. In this paper, A method of resource allocation and trajectory optimization is proposed for UAV-assisted backscatter communication based on user trajectory. This paper will establish an optimization problem of jointly optimizing the UAV trajectories, UAV transmission power and BD scheduling based on the large-scale channel state signals estimated in advance of the known user trajectories, taking into account the constraints of BD data and working energy consumption, to maximize the energy efficiency of the system. The problem is a non-convex optimization problem in fractional form, and there is nonlinear coupling between optimization variables.An iterative algorithm is proposed based on Dinkelbach algorithm, block coordinate descent method and continuous convex optimization technology. First, the objective function is converted into a non-fractional programming problem based on Dinkelbach method,and then the block coordinate descent method is used to decompose the original complex problem into three independent sub-problems. Finally, the successive convex approximation method is used to solve the trajectory optimization sub-problem. The simulation results show that the proposed scheme and algorithm have obvious energy efficiency gains compared with the comparison scheme.
关 键 词:energy efficiency joint optimization UAV-assisted backscatter communication user trajectory
分 类 号:V279[航空宇航科学与技术—飞行器设计] TN929.5[电子电信—通信与信息系统]
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