Energy-Efficient Task Offloading in Massive MIMO-Aided Multi-Pair Fog-Computing Networks

doi:10.1109/TCOMM.2020.3046265

	Energy-Efficient Task Offloading in Massive MIMO-Aided Multi-Pair Fog-Computing Networks
	Kunlun Wang1 ; Yong Zhou1 ; Jun Li 2; Long Shi 2; Wen Chen 3; Lajos Hanzo 4
	2021-04
发表期刊	IEEE TRANSACTIONS ON COMMUNICATIONS
ISSN	0090-6778
EISSN	1558-0857
卷号	69 期号:4 页码:2123-2137
发表状态	已发表
DOI	10.1109/TCOMM.2020.3046265
摘要	The energy-efficient task offloading problem of a massive multiple-input multiple-output (MIMO)-aided fog computing system is solved, where multiple task nodes offload their computational tasks to be solved via a massive MIMO-aided fog access node to multiple processing nodes in the fog for execution. By considering realistic imperfect channel state information (CSI), we formulate a joint task offloading and power allocation problem for minimizing the total energy consumption, including both computation and communication power consumptions. We solve the resultant non-convex optimization problem in two steps. First, we solve the computational task allocation and computational resource allocation for a given power allocation. Then, we conceive a sequential optimization framework for determining the specific power allocation decision that minimizes the total energy consumption of the fog access node. Given the computational tasks, the computational resources, and the power allocation, we propose an iterative algorithm for the system optimization. The simulation results show that the proposed scheme significantly reduces the total energy consumption compared to the benchmark schemes.
关键词	Fog computing massive MIMO computational task offloading energy efficiency fog access node
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收录类别	SCIE ; EI
语种	英语
WOS研究方向	Engineering ; Telecommunications
WOS类目	Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000641964800005
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
原始文献类型	Article
来源库	IEEE
引用统计
文献类型	期刊论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/126711
专题	信息科学与技术学院信息科学与技术学院_PI研究组_周勇组
作者单位	1.School of Information Science and Technology, ShanghaiTech University, Shanghai, China 2.School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China 3.Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China 4.Department of Electronics and Computer Science, University of Southampton, Southampton, U.K.
第一作者单位	信息科学与技术学院
第一作者的第一单位	信息科学与技术学院
推荐引用方式 GB/T 7714	Kunlun Wang,Yong Zhou,Jun Li,et al. Energy-Efficient Task Offloading in Massive MIMO-Aided Multi-Pair Fog-Computing Networks[J]. IEEE TRANSACTIONS ON COMMUNICATIONS,2021,69(4):2123-2137.
APA	Kunlun Wang,Yong Zhou,Jun Li,Long Shi,Wen Chen,&Lajos Hanzo.(2021).Energy-Efficient Task Offloading in Massive MIMO-Aided Multi-Pair Fog-Computing Networks.IEEE TRANSACTIONS ON COMMUNICATIONS,69(4),2123-2137.
MLA	Kunlun Wang,et al."Energy-Efficient Task Offloading in Massive MIMO-Aided Multi-Pair Fog-Computing Networks".IEEE TRANSACTIONS ON COMMUNICATIONS 69.4(2021):2123-2137.