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典型文献
Hybrid NOMA Based MIMO Offloading for Mobile Edge Computing in 6G Networks
文献摘要:
Non-orthogonal multiple access(NOMA),multiple-input multiple-output(MIMO)and mobile edge computing(MEC)are prominent technologies to meet high data rate demand in the sixth genera-tion(6G)communication networks.In this paper,we aim to minimize the transmission delay in the MIMO-MEC in order to improve the spectral efficiency,en-ergy efficiency,and data rate of MEC offloading.Dinkelbach transform and generalized singular value decomposition(GSVD)method are used to solve the delay minimization problem.Analytical results are provided to evaluate the performance of the proposed Hybrid-NOMA-MIMO-MEC system.Simulation re-sults reveal that the H-NOMA-MIMO-MEC system can achieve better delay performance and lower en-ergy consumption compared to OMA.
文献关键词:
作者姓名:
Yunus Dursun;Fang Fang;Zhiguo Ding
作者机构:
School of Electrical and Electronic Engineering,University of Manchester,Manchester,UK;Department of Electrical and Computer Engineering and the Department of Computer Science,Western University,London,Canada
引用格式:
[1]Yunus Dursun;Fang Fang;Zhiguo Ding-.Hybrid NOMA Based MIMO Offloading for Mobile Edge Computing in 6G Networks)[J].中国通信(英文版),2022(10):12-20
A类:
GSVD
B类:
Hybrid,NOMA,Based,MIMO,Offloading,Mobile,Edge,Computing,6G,Networks,Non,orthogonal,multiple,access,input,output,mobile,edge,computing,MEC,prominent,technologies,meet,high,data,rate,demand,sixth,communication,networks,In,this,paper,aim,minimize,transmission,delay,order,improve,spectral,efficiency,ergy,offloading,Dinkelbach,transform,generalized,singular,value,decomposition,method,used,solve,minimization,problem,Analytical,results,provided,evaluate,performance,proposed,system,Simulation,reveal,that,can,achieve,better,lower,consumption,compared
AB值:
0.59036
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Lun Hu-School of Computer Science and Technology, Dongguan University of Technology, Dongguan 523808,China;Xinjiang Technical Institute of Physics and Chemistry,Chinese Academy of Sciences, Urumqi 830000, China;School of Computer Science and Technology,Wuhan University of Technology, Wuhan 430070, China;Chongqing Engineering Research Center of Big Data Application for Smart Cities, and Chongqing Key Laboratory of Big Data and Intelligent Computing, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China;Center of Research Excellence in Renewable Energy and Power Systems, and the Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia;Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 07102 USA
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