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Joint Communication and Computation Optimization for Wireless Powered Mobile Edge Computing with D2D Offloading

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Wu Dixiao *   Wang Feng *   Cao Xiaowen *   Xu Jie *  
文摘 This paper studies a wireless powered mobile edge computing (MEC)system with device-to-device (D2D)-enabled task offloading. In this system, a set of distributed multi-antenna energy transmitters (ETs)use collaborative energy beamforming to wirelessly charge multiple users. By using the harvested energy, the actively computing user nodes can offload their computation tasks to nearby idle users (as helper nodes)via D2D communication links for self-sustainable remote computing. We consider the frequency division multiple access (FDMA)protocol, such that the D2D communications of different user-helper pairs are implemented over orthogonal frequency bands. Furthermore, we focus on a particular time block for task execution,which is divided into three slots for computation task offloading, remote computing, and result downloading, respectively, at different user-helper pairs. Under this setup, we jointly optimize the collaborative energy beamforming at ETs, the communication and computation resource allocation at users and helpers, and the user-helper pairing,so as to maximize the sum computation rate (i.e., the number of task input-bits executed over this block)of the users, subject to individual energy neutrality constraints at both users and helpers. First, we consider the computation rate maximization problem under any given user-helper pairs,for which an efficient solution is proposed by using the techniques of alternating optimization and convex optimization. Next,we develop the optimal user-helper pairing scheme based on exhaustive search and a lowcomplexity scheme based on greedy selection. Numerical results show that the proposed design significantly improves the sum computation rate at users, as compared to benchmark schemes without such joint optimization.
来源 Journal of Communications and Information Networks ,2019,4(4):72-86 【核心库】
DOI 10.23919/JCIN.2019.9005435
关键词 mobile edge computing (MEC) ; wireless power transfer (WPT) ; device-to-device (D2D) offloading ; cooperative computing ; collaborative energy beamforming ; optimization
地址

School of Information Engineering, Guangdong University of Technology, Guangzhou, 510006

语种 英文
文献类型 研究性论文
ISSN 2096-1081
学科 电子技术、通信技术
基金 the Guangdong Province Basic Research Program(Natural Science) ;  广东省自然科学基金 ;  the Guangdong Province Key Area R&D Program ;  国家自然科学基金 ;  supported in part by the National Key R&D Program of China
文献收藏号 CSCD:6639963

参考文献 共 30 共2页

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