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Coalitional Game Theory for Cooperative Interference Management in Femtocell Networks

机译：Femtocell网络中合作干扰管理的联盟博弈理论

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摘要

Dense deployment of femtocells can cause serious intra-tier interference in femtocell networks. In this paper, a new cooperative interference management approach which allows the femtocell user equipment (FUE) to merge into cooperative groups, that is, coalitions, for the uplink transmissions in a femtocell network is proposed, so as to reduce the intra-tier interference and improve the system performance. Taking into account the power cost for cooperation, we claim that all the FUEs are impossible to merge together, and we formulate the proposed cooperative problem as a coalitional game in partition form with an externality due to the interference between the formed coalitions. To get the solution, a novel distributed coalition formation algorithm that takes advantage of the characteristics of femtocell network and allows the FUEs to interact and individually decide on which coalitions to participate in is proposed. Furthermore, we analyze the convergence and stability of the proposed algorithm. Simulations are conducted to illustrate the behavior and the performance of the proposed coalition formation algorithm among FUEs. Results show that the proposed algorithm can improve the system performance with much lower complexity than some previously proposed coalition formation algorithms.
机译：毫微微小区的密集部署会在毫微微小区网络中造成严重的层内干扰。本文提出了一种新的协作干扰管理方法，该方法允许毫微微小区用户设备（FUE）合并为协作组，即联盟，以便在毫微微小区网络中进行上行链路传输，从而减少层内干扰并提高系统性能。考虑到合作的电力成本，我们认为不可能将所有FUE合并在一起，并且由于形成的联盟之间的干扰，我们将提出的合作问题表述为具有外部性的分区形式的联盟博弈。为了获得解决方案，提出了一种新颖的分布式联盟形成算法，该算法利用了毫微微小区网络的特性，并允许FUE进行交互并分别决定要参与的联盟。此外，我们分析了该算法的收敛性和稳定性。仿真表明了所提出的联盟形成算法在FUE之间的行为和性能。结果表明，与先前提出的联盟形成算法相比，所提出的算法可以以更低的复杂度提高系统性能。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第11期|767649.1-767649.10|共10页
  • 作者

    Shi Yuanyuan; Zhu Gang; Lin Siyu; Ding Jianwen; Xu Shengfeng;

  • 作者单位

    Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China.;

    Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China.;

    Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China.;

    Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China.;

    Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China.;

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