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User-Centric Intercell Interference Nulling for Downlink Small Cell Networks

机译:下行链路小小区的以用户为中心的小区间干扰消除   网络

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摘要

Small cell networks are regarded as a promising candidate to meet theexponential growth of mobile data traffic in cellular networks. With a densedeployment of access points, spatial reuse will be improved, and uniformcoverage can be provided. However, such performance gains cannot be achievedwithout effective intercell interference management. In this paper, a novelinterference coordination strategy, called user-centric intercell interferencenulling, is proposed for small cell networks. A main merit of the proposedstrategy is its ability to effectively identify and mitigate the dominantinterference for each user. Different from existing works, each user selectsthe coordinating base stations (BSs) based on the relative distance between thehome BS and the interfering BSs, called the interference nulling (IN) range,and thus interference nulling adapts to each user's own interference situation.By adopting a random spatial network model, we derive an approximate expressionof the successful transmission probability to the typical user, which is thenused to determine the optimal IN range. Simulation results shall confirm thetightness of the approximation, and demonstrate significant performance gains(about 35%-40%) of the proposed coordination strategy, compared with thenon-coordination case. Moreover, it is shown that the proposed strategyoutperforms other interference nulling methods. Finally, the effect ofimperfect channel state information (CSI) is investigated, where CSI is assumedto be obtained via limited feedback. It is shown that the proposed coordinationstrategy still provides significant performance gains even with a moderatenumber of feedback bits.
机译:小型蜂窝网络被认为是满足蜂窝网络中移动数据流量指数增长的有希望的候选者。随着接入点的密集部署,空间重用将得到改善,并且可以提供统一的覆盖范围。但是,如果没有有效的小区间干扰管理,就无法获得这样的性能提升。本文针对小型小区网络提出了一种新的干扰协调策略,即以用户为中心的小区间干扰消除。提议的策略的主要优点是其能够有效识别和减轻每个用户的主要干扰的能力。与现有工作不同的是,每个用户都根据家庭BS与干扰BS之间的相对距离选择协调基站(BS),称为干扰归零(IN)范围,从而使干扰归零适应每个用户自己的干扰情况。在随机空间网络模型中,我们推导出成功传输概率到典型用户的近似表达式,然后将其用于确定最佳IN范围。仿真结果应证实近似性的严密性,并证明与非协调情况相比,所提出的协调策略具有显着的性能提升(约35%-40%)。此外,表明所提出的策略优于其他干扰消除方法。最后,研究了不完美信道状态信息(CSI)的影响,其中CSI是通过有限的反馈获得的。结果表明,即使采用中等数量的反馈位,所提出的协调策略仍可提供显着的性能提升。

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