Joint Task Offloading and Resource Allocation for Multi-Task Multi-Server NOMA-MEC Networks

doi:10.1109/ACCESS.2021.3049883

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	Joint Task Offloading and Resource Allocation for Multi-Task Multi-Server NOMA-MEC Networks
	Xue, Jianbin; An, Yaning
刊名	IEEE Access
	2021
卷号	9 页码:16152-16163
关键词	Convex optimization Energy utilization Integer programming Internet of things Lagrange multipliers Nonlinear programming Resource allocation Communication resource allocation Convex optimization problems Internet of Things (IOT) Lagrangian multiplier methods Mixed integer non-linear programming problems Resource allocation problem Spectrum utilization efficiency Transmission power allocation
ISSN号	2169-3536
DOI	10.1109/ACCESS.2021.3049883
英文摘要	By offloading computationally intensive tasks of smart end devices to edge servers deployed at the edge of the network, mobile edge computing (MEC) has become a promising technology to provide computing services for Internet of Things (IoT) devices. In order to further improve the access capability of MEC and increase the spectrum utilization efficiency, in this article, Non-Orthogonal Multiple Access (NOMA) technology is introduced into MEC systems and we study the computing offloading problem of multi-user, multi-task and multi-server through joint optimization of task offloading and resource allocation, we intend to maximize the system's processing capability as an optimization goal. To solve the proposed mixed integer nonlinear programming (MINLP) problem, the objective optimization problem is firstly decoupled into two sub-problems of resource allocation and task allocation. Secondly the resource allocation problem is further decomposed into computation resource optimization and communication resource allocation. For the communication resource allocation, it first fixed power allocation, then the sub-channel allocation problem is regarded as a many-to-one matching problem between sub-channels and users. In addition, we propose a low-complexity sub-optimal matching algorithm for sub-channel allocation to maximize the offloading efficiency. Based on our proposed sub-channel allocation scheme, the transmission power allocation is regarded as a convex optimization problem, which is tackled by Lagrangian multiplier method. Finally, under the condition of resource allocation, the tasks of all end devices (EDs) are allocated. Experimental numerical results show that the proposed scheme can effectively decrease latency and energy consumption of networks, improve system processing capability, and further improve MEC system performance. © 2013 IEEE.
WOS研究方向	Computer Science ; Engineering ; Telecommunications
语种	英语
出版者	Institute of Electrical and Electronics Engineers Inc.
WOS记录号	WOS:000613537700001
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/147212]
专题	研究生院
作者单位	School of Computer and Communication, Lanzhou University of Technology, Lanzhou; 730050, China
推荐引用方式 GB/T 7714	Xue, Jianbin,An, Yaning. Joint Task Offloading and Resource Allocation for Multi-Task Multi-Server NOMA-MEC Networks[J]. IEEE Access,2021,9:16152-16163.
APA	Xue, Jianbin,&An, Yaning.(2021).Joint Task Offloading and Resource Allocation for Multi-Task Multi-Server NOMA-MEC Networks.IEEE Access,9,16152-16163.
MLA	Xue, Jianbin,et al."Joint Task Offloading and Resource Allocation for Multi-Task Multi-Server NOMA-MEC Networks".IEEE Access 9(2021):16152-16163.