Fine-grained Analysis and Optimization of Flexible Spatial Difference in User-centric Network

Danyang Wu, Hongtao Zhang
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Abstract

In user-centric network, traditional typical user analysis method based on spatial average results is no longer applicable due to the flexible spatial difference, which is the large fluctuations in user performance with spatial location. Especially because of power control leading to keen spatial competition, the spatial difference becomes much significantly, so that fine-grained analysis method is needed to evaluate its performance. This paper analyzes the spatial difference in user-centric network with power control through meta distribution from many different fine-grained perspectives to reveal that power control improves the performance not only in the sense of the spatial average, but also in the complete spatial distribution. Specifically, the complementary cumulative distribution function (CCDF) of the conditional transmitting success probability, the mean local delay and the 5%-tile users performance are given to depict power control effect on the individual links. This analysis provides the optimal values of the area and intensity for power control deployment in user-centric network. Numerical results show that after applying power control the users of high coverage probability can be improved at most by 38%, the mean local delay decreases by 2x and 4x gains can be obtained as for the 5%-tile user’s performance.
用户中心网络柔性空间差异的细粒度分析与优化
在以用户为中心的网络中,基于空间平均结果的传统典型用户分析方法不再适用,因为空间差异是灵活的,即用户性能随空间位置的波动很大。特别是由于权力控制导致激烈的空间竞争,空间差异变得非常明显,因此需要细粒度的分析方法来评估其性能。本文从多个不同的细粒度角度通过元分布分析了功率控制下以用户为中心的网络的空间差异,揭示了功率控制不仅在空间平均意义上提高了网络的性能,而且在完整的空间分布上提高了网络的性能。具体来说,给出了条件传输成功概率、平均本地延迟和5%用户性能的互补累积分布函数(CCDF)来描述功率控制对单个链路的影响。分析结果为以用户为中心的网络中的功率控制部署提供了面积和强度的最优值。数值结果表明,应用功率控制后,高覆盖概率用户的性能最多可提高38%,平均本地延迟降低2倍,5%覆盖概率用户的性能可获得4倍的增益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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