A Game-Theoretic Approach for Optimal Base Station Sleeping in Green Cellular Networks

J Zheng, Y Cai, Xianfu Chen, R Li, H Zhang

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    6 Citations (Scopus)

    Abstract

    This paper proposes a distributed cooperative framework to improve the energy efficiency of green cellular networks. Based on the traffic load, neighboring base stations (BSs) cooperate to optimize the BS switching (sleeping) strategies so as to maximize the energy saving while guaranteeing users' minimal service requirements. An interaction graph is defined to capture the network impact of the BS switching operation. Then, we formulate the problem of energy saving as a constrained graphic game, where each BS acts as a game player with the constraint of traffic load. The constrained graphic game is proved to be an exact constrained potential game. Furthermore, we prove the existence of a generalized Nash equilibrium (GNE), and the best GNE coincides with the optimal solution of total energy consumption minimization. Accordingly, we design a decentralized iterative algorithm to find the best GNE (i.e., the global optimum), where only local information exchange among the neighboring BSs is needed. Simulation results finally illustrate the convergence and optimality of the proposed algorithm
    Original languageEnglish
    Title of host publicationProceedings
    Subtitle of host publicationSixth International Conference on Wireless Communications and Signal Processing, WCSP 2014
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Number of pages6
    ISBN (Electronic)978-1-4799-7339-2
    DOIs
    Publication statusPublished - 2014
    MoE publication typeA4 Article in a conference publication
    EventInternational Conference on Wireless Communications and Signal Processing, WCSP 2014 - Hefei, China
    Duration: 23 Oct 201425 Oct 2014

    Conference

    ConferenceInternational Conference on Wireless Communications and Signal Processing, WCSP 2014
    Abbreviated titleWCSP 2014
    CountryChina
    CityHefei
    Period23/10/1425/10/14

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  • Cite this

    Zheng, J., Cai, Y., Chen, X., Li, R., & Zhang, H. (2014). A Game-Theoretic Approach for Optimal Base Station Sleeping in Green Cellular Networks. In Proceedings: Sixth International Conference on Wireless Communications and Signal Processing, WCSP 2014 IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/WCSP.2014.6992184