Matching-Theory-Based Multi-User Cooperative Computing Framework

Zhou, Ya, Zhang, Guopeng, Wang, Kezhi and Yang, Kun (2022) Matching-Theory-Based Multi-User Cooperative Computing Framework. IEEE Communications Letters, 26 (2). pp. 414-418. ISSN 1089-7798

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In this paper, we propose a matching theory based multi-user cooperative computing (MUCC) scheme to minimize the overall energy consumption of a group of user equipments (UEs), where the UEs can be classified into the following roles: resource demander (RD), resource provider (RP), and standalone UE (SU). We first determine the role of each UE by leveraging the roommate matching method. Then, we propose the college admission based algorithm to divide the UEs into multiple cooperation groups, each consisting of one RP and multiple RDs. Next, we propose the rotation swap operation to further improve the performance without deteriorating the system stability. Finally, we present an effective task offloading algorithm to minimize the energy consumption of all the cooperation groups. The simulation results verify the effectiveness of the proposed scheme.

Item Type: Article
Additional Information: Funding information: This work was supported in part by the National Natural Science Foundation of China under Grant 61971421, Grant 61620106011, Grant U1705263, Grant 61871076; and the Fundamental Research Funds for the Central Universities (Grant ZYGX2019J001).
Uncontrolled Keywords: multi-user cooperative computing, matching theory, computing task offloading
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: John Coen
Date Deposited: 07 Feb 2022 08:28
Last Modified: 28 Mar 2022 14:45

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