In this paper, a power allocation scheme based on a stackelberg game model is proposed to coordinate complicated interference in heterogeneous network. Firstly, the power allocation problem is modeled as a stackelberg game where base stations (BS) are treated as competitive players. Then a two-stage pricing-based power allocation scheme is proposed, where macro-BS and micro-BS cooperate with each other in order to provide optimal power allocation strategy. Theoretical analysis and simulation results both validate that the proposed scheme not only makes improvement in spectral and energy efficiency, but also reduces computational complexity, especially in dense deployment scenario.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Stackelberg Game-Based Optimal Power Allocation in Heterogeneous Network


    Beteiligte:
    Qi, Zhiqiang (Autor:in) / Peng, Tao (Autor:in) / Cao, Jiaqi (Autor:in) / Wang, Wenbo (Autor:in)


    Erscheinungsdatum :

    2018-06-01


    Format / Umfang :

    195984 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Dynamic power allocation using Stackelberg game in a wireless sensor network

    Srinivasan, Mohit / Kak, Ahan / Shivdikar, Kaustubh et al. | IEEE | 2016


    Dynamic optimal routing based on a reverse stackelberg game approach

    Groot, Noortje / De Schutter, Bart / Hellendoorn, Hans | IEEE | 2012



    Toward System-Optimal Routing in Traffic Networks: A Reverse Stackelberg Game Approach

    Groot, Noortje / De Schutter, Bart / Hellendoorn, Hans | IEEE | 2015