Energy-Efficient Stable Matching for Resource Allocation in Energy Harvesting-Based Device-to-Device Communications

Zhenyu Zhou, Caixia Gao, Chen Xu, Tao Chen, Di Zhang, Shahid Mumtaz

    Research output: Contribution to journalArticleScientificpeer-review

    84 Citations (Scopus)


    The explosive growth of mobile date traffic and ubiquitous mobile services cause an high energy consumption in mobile devices with limited energy supplies, which has become a bottleneck for deploying device-to-device (D2D) communication. Simultaneous wireless information and power transfer (SWIPT), which enables mobile devices to harvest energy from the radio frequency signals, has emerged as a promising solution to improve the energy efficiency (EE) performance. In this paper, we address joint power control and spectrum resource allocation problem in SWIPT-based energy-harvesting D2D underlay networks. First, we formulate joint optimization problem as a 2-D matching between D2D pairs and cellular user equipments (CUEs), and propose a preference establishment algorithm based on Dinkelbach method and Lagrange dual decomposition. Second, we propose an energy-efficient stable matching algorithm by exploring the Gale-Shapley algorithm, which is able to maximize the EE performance of D2D pairs and the amount of energy harvested by CUEs simultaneously. Third, we provide in-depth theoretical analysis of the proposed matching algorithm in terms of stability, optimality, and complexity. Simulation results demonstrate that the proposed algorithm can bring significant EE performance gains compared with some heuristic algorithms.
    Original languageEnglish
    Article number7872433
    Pages (from-to)15184-15196
    JournalIEEE Access
    Publication statusPublished - 6 Mar 2017
    MoE publication typeA1 Journal article-refereed


    This work was supported in part by the National Science Foundation of China (NSFC) under Grant 61601180 and Grant 61601181, in part by the Fundamental Research Funds for the Central Universities under Grant 2016MS17 and Grant 2017MS13, in part by the Natural Science Foundation of Beijing Municipality under Grant 4174104, and in part by the Beijing Outstanding Young Talent under Grant 2016000020124G081.


    • Device-to-device communication
    • energy harvesting
    • matching theory
    • resource allocation
    • SWIPT


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