多资源分配飞蜂窝网络中基于联盟的干扰抑制

Yanjie Dong, Min Sheng, Shun Zhang, Chungang Yang
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引用次数: 4

摘要

在本文中,我们研究了在允许飞蜂窝接入点(fap)作为不同的合作组进行合作以分配资源的飞蜂窝网络中的干扰缓解。我们将移动基站的合作特征建模为具有不可转移效用的分区形式的联盟形成博弈。提出了一种分布式联盟形成算法,使每个FAP能够独立决定离开或加入联盟,并设计了一种低复杂度的迭代算法来优化每个联盟的多维资源分配,以最大化其FAP的收益。通过应用我们提出的联盟形成方案,形成了纳什稳定的FAP分区,每个联盟中的FAP都能有效地利用合作收益来减轻干扰并最大化和率。数值结果证实了我们提出的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Coalition based interference mitigation in femtocell networks with multi-resource allocation
In this paper, we investigate the interference mitigation in femtocell networks, where femtocell access points (FAPs) are allowed to cooperate as different cooperative groups to allocate resources. We model the femtocell cooperation characteristics as a coalition formation game in partition form with non-transferable utility. Furthermore, a distributed coalition formation algorithm is proposed to enable each FAP to decide to depart from or join in a coalition independently, moreover, we devise a low complex iterative algorithm to optimize the allocation of each coalition's multi-dimensional resources for maximizing its FAPs' payoffs. By applying our proposed coalition formation scheme, a Nash stable FAP partition is formed and FAPs in each coalition can effectively exploit the cooperative gain to mitigate the interference and maximize the sum rate. Numerical results are provided to corroborate our proposed studies.
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