Cost Minimization for Cooperative Computation Framework in MEC Networks

Pan, Yijin, Pan, Cunhua, Wang, Kezhi, Zhu, Huiling and Wang, Jiangzhou (2021) Cost Minimization for Cooperative Computation Framework in MEC Networks. IEEE Transactions on Wireless Communications, 20 (6). pp. 3670-3684. ISSN 1536-1276

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In this paper, a cooperative task computation framework exploits the computation resource in user equipments (UEs) to accomplish more tasks meanwhile minimizes the power consumption of UEs. The system cost includes the cost of UEs’ power consumption and the penalty of unaccomplished tasks, and the system cost is minimized by jointly optimizing binary offloading decisions, the computational frequencies, and the offloading transmit power. To solve the formulated mixed-integer non-linear programming problem, three efficient algorithms are proposed, i.e., integer constraints relaxation-based iterative algorithm (ICRBI), heuristic matching algorithm, and the decentralized algorithm. The ICRBI algorithm achieves the best performance at the cost of the highest complexity, while the heuristic matching algorithm significantly reduces the complexity while still providing reasonable performance. As the previous two algorithms are centralized, the decentralized algorithm is also provided to further reduce the complexity, and it is suitable for the scenarios that cannot provide the central controller. The simulation results are provided to validate the performance gain in terms of the total system cost obtained by the proposed cooperative computation framework.

Item Type: Article
Additional Information: Funding information: This work was supported in part by the National Natural Science Foundation of China under Grants No. 62001107, No. 61971129, No. 61960206005, No. 61871128, Basic Research Project of Jiangsu Provincial Department of Science and Technology under Grant No. BK20190339, the UK Royal Society Newton International Fellowship under Grant NIF\R1\180777.
Uncontrolled Keywords: MEC, D2D, user cooperation, accomplished tasks, power efficiency.
Subjects: G400 Computer Science
G500 Information Systems
Department: Faculties > Engineering and Environment > Architecture and Built Environment
Depositing User: Elena Carlaw
Date Deposited: 23 Feb 2021 14:48
Last Modified: 31 Jul 2021 10:31

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