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

doi:10.1109/ACCESS.2021.3049883

IR > 研究生院

	Joint Task Offloading and Resource Allocation for Multi-Task Multi-Server NOMA-MEC Networks
	Xue, Jianbin; An, Yaning
	2021
发表期刊	IEEE Access
ISSN	2169-3536
卷号	9 页码:16152-16163
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.
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
DOI	10.1109/ACCESS.2021.3049883
收录类别	EI ; SCIE
语种	英语
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000613537700001
出版者	Institute of Electrical and Electronics Engineers Inc.
EI入藏号	20210409806486
EI主题词	Network architecture
EI分类号	525.3 Energy Utilization - 723 Computer Software, Data Handling and Applications - 912.2 Management - 921.5 Optimization Techniques
来源库	Compendex
引用统计	被引频次：33[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/147212
专题	研究生院
通讯作者	Xue, Jianbin; An, Yaning
作者单位	Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou 730050, Peoples R China
第一作者单位	兰州理工大学
通讯作者单位	兰州理工大学
第一作者的第一单位	兰州理工大学
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.

条目包含的文件		下载所有文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Xue-2021-Joint Task （3294KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	浏览下载