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Joint Interference Management in Ultra-Dense Small-Cell Networks: A Multi-Domain Coordination Perspective

机译:超密集小蜂窝网络中的联合干扰管理:多域协调的观点

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Extensive deployment of heterogeneous small cells in cellular networks results in ultra-dense small-cell networks (USNs). The USNs have been established as one of the vital networking architectures in the 5G to expand system capacity and augment network coverage. However, intensive deployment of cells results in a complex interference problem. In this paper, we propose a distributed multi-domain interference management scheme among cooperative small cells. The proposed scheme mitigates the interference while optimizing the overall network utility. In addition, we jointly investigate OFDMA scheduling, TDMA scheduling, interference alignment (IA), and power control. We model small cells' coordination behavior as an overlapping coalition formation game. In this game, each base station can make an autonomous decision and participate in more than one coalition to perform IA and suppress intra-coalition interference. To achieve this goal, we propose a distributed joint interference management (JIM) algorithm. The proposed algorithm allows each small-cell base station to self-organize and interact into a stable overlapping coalition structure and reduce interference gradually from multi-domain, thus achieving an optimal tradeoff between costs and benefits. Compared with existing approaches, the proposed JIM algorithm provides appreciable performance improvement in terms of total throughput, which is demonstrated by simulation results.
机译:蜂窝网络中异构小蜂窝的广泛部署导致了超密集小蜂窝网络(USN)。 USN已被确立为5G中至关重要的网络架构之一,以扩展系统容量并扩大网络覆盖范围。然而,小区的密集部署导致复杂的干扰问题。在本文中,我们提出了一种在协作小小区之间的分布式多域干扰管理方案。所提出的方案减轻了干扰,同时优化了整个网络的实用性。此外,我们共同研究了OFDMA调度,TDMA调度,干扰对准(IA)和功率控制。我们将小细胞的协调行为建模为重叠的联盟形成博弈。在这个游戏中,每个基站可以做出自主决策,并参与多个联盟来执行IA和抑制联盟内干扰。为了实现此目标,我们提出了一种分布式联合干扰管理(JIM)算法。所提出的算法允许每个小小区基站自组织并交互成稳定的重叠联盟结构,并逐渐减少来自多域的干扰,从而实现成本与收益之间的最佳权衡。与现有方法相比,提出的JIM算法在总吞吐量方面提供了可观的性能改进,仿真结果证明了这一点。

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