典型文献
Intelligent Task Offloading and Collaborative Computation in Multi-UAV-Enabled Mobile Edge Computing
文献摘要：
This article establishes a three-tier mobile edge computing(MEC)network,which takes into ac-count the cooperation between unmanned aerial vehi-cles(UAVs).In this MEC network,we aim to mini-mize the processing delay of tasks by jointly optimiz-ing the deployment of UAVs and offloading decisions,while meeting the computing capacity constraint of UAVs.However,the resulting optimization problem is nonconvex,which cannot be solved by general op-timization tools in an effective and efficient way.To this end,we propose a two-layer optimization algo-rithm to tackle the non-convexity of the problem by capitalizing on alternating optimization.In the up-per level algorithm,we rely on differential evolution(DE)learning algorithm to solve the deployment of the UAVs.In the lower level algorithm,we exploit dis-tributed deep neural network(DDNN)to generate of-floading decisions.Numerical results demonstrate that the two-layer optimization algorithm can effectively obtain the near-optimal deployment of UAVs and of-floading strategy with low complexity.
文献关键词：
中图分类号：
作者姓名：
Jingming Xia;Peng Wang;Bin Li;Zesong Fei
作者机构：
Nanjing University of Information Science and Technology,Nanjing 210044,China;Beijing Institute of Technology,Beijing 100081,China
文献出处：
引用格式：
[1]Jingming Xia;Peng Wang;Bin Li;Zesong Fei-.Intelligent Task Offloading and Collaborative Computation in Multi-UAV-Enabled Mobile Edge Computing)[J].中国通信（英文版）,2022(04):244-256
A类：
DDNN,floading
B类：
Intelligent,Task,Offloading,Collaborative,Computation,Multi,Enabled,Mobile,Edge,Computing,This,article,establishes,three,tier,mobile,edge,computing,MEC,network,which,takes,into,count,cooperation,between,unmanned,aerial,vehi,cles,UAVs,this,aim,mini,mize,processing,delay,tasks,by,jointly,deployment,offloading,decisions,while,meeting,capacity,constraint,However,resulting,optimization,problem,nonconvex,cannot,solved,general,tools,efficient,way,To,end,propose,layer,tackle,convexity,capitalizing,alternating,up,level,algorithm,rely,differential,evolution,DE,learning,lower,exploit,dis,tributed,deep,neural,generate,Numerical,results,demonstrate,that,effectively,obtain,near,optimal,strategy,complexity
AB值：
0.584011
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机标中图分类号，由域田数据科技根据网络公开资料自动分析生成，仅供学习研究参考。
