典型文献
Joint Power-Trajectory-Scheduling Optimization in A Mobile UAV-Enabled Network via Alternating Iteration
文献摘要：
This work focuses on an unmanned aerial vehicle (UAV)-enabled mobile edge computing(MEC) system based on device-to-device (D2D) com-munication.In this system,the UAV exhibits caching,computing and relaying capabilities to periodically provide specific service to cellular users and D2D re-ceiver nodes in the appointed time slot.Besides,the D2D transmitter can provide additional caching ser-vices to D2D receiver to reduce the pressure of the UAV.Note that communication between multi-type nodes is mutually restricted and different links share spectrum resources.To achieve an improved balance between different types of node,we aim to maxi-mize the overall energy efficiency while satisfying the quality-of-service requirements of the cellular nodes.To address this problem,we propose an alternating iteration algorithm to jointly optimize the scheduling strategies of the user,transmitting power of the UAV and D2D-TX nodes,and UAV trajectory.The suc-cessive convex approximation,penalty function,and Dinkelbach method are employed to transform the original problem into a group of solvable subproblems and the convergence of the method is proved.Simu-lation results show that the proposed scheme performs better than other benchmark algorithms,particularly in terms of balancing the tradeoff between minimizing UAV energy consumption and maximizing through-put.
文献关键词：
中图分类号：
作者姓名：
Xiaohan Qi;Minxin Yuan;Qinyu Zhang;Zhihua Yang
作者机构：
Communications Engineering Research Center,Harbin Institute of Technology,Shen zhen 518055,China;Peng Cheng Laboratory,Shenzhen 518052,China
文献出处：
引用格式：
[1]Xiaohan Qi;Minxin Yuan;Qinyu Zhang;Zhihua Yang-.Joint Power-Trajectory-Scheduling Optimization in A Mobile UAV-Enabled Network via Alternating Iteration)[J].中国通信（英文版）,2022(01):136-152
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AB值：
0.633654
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