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Coalitional Games with Overlapping Coalitions for Interference Management in Small Cell Networks

机译:具有重叠干扰联盟的联盟运动会   小型蜂窝网络管理

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摘要

In this paper, we study the problem of cooperative interference management inan OFDMA two-tier small cell network. In particular, we propose a novelapproach for allowing the small cells to cooperate, so as to optimize theirsum-rate, while cooperatively satisfying their maximum transmit powerconstraints. Unlike existing work which assumes that only disjoint groups ofcooperative small cells can emerge, we formulate the small cells' cooperationproblem as a coalition formation game with overlapping coalitions. In thisgame, each small cell base station can choose to participate in one or morecooperative groups (or coalitions) simultaneously, so as to optimize thetradeoff between the benefits and costs associated with cooperation. We studythe properties of the proposed overlapping coalition formation game and we showthat it exhibits negative externalities due to interference. Then, we propose anovel decentralized algorithm that allows the small cell base stations tointeract and self-organize into a stable overlapping coalitional structure.Simulation results show that the proposed algorithm results in a notableperformance advantage in terms of the total system sum-rate, relative to thenoncooperative case and the classical algorithms for coalitional games withnon-overlapping coalitions.
机译:在本文中,我们研究了OFDMA两层小蜂窝网络中的协作干扰管理问题。尤其是,我们提出了一种新颖的方法,允许小蜂窝协作,以优化其求和速率,同时共同满足其最大发射功率约束。与现有的工作假设只有不相交的协作小蜂窝小组可以出现的情况不同,我们将小蜂窝小组的合作问题表述为具有重叠联盟的联盟形成博弈。在此游戏中,每个小型小区基站可以选择同时参加一个或多个合作组(或联盟),以优化与合作相关的收益和成本之间的权衡。我们研究了提议的重叠联盟形成博弈的性质,并表明由于干扰,它表现出负面的外部性。然后,我们提出了一种anovel分散算法,该算法允许小型蜂窝基站进行交互并自组织成一个稳定的重叠联盟结构。仿真结果表明,相对于总系统总速率,该算法在性能上具有明显的优势。非重叠联盟的非合作案例和经典算法。

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