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On the src='/images/tex/451.gif' alt='alpha '> -Stable Distribution of Base Stations in Cellular Networks

机译: src =“ / images / tex / 451.gif” alt =“ alpha”> -蜂窝网络中基站的稳定分布

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摘要

Cellular networks are now nearly universally deployed and are under ever-growing pressure to increase the volume of data deliverable to consumers. Understanding how base stations (BSs) are spatially deployed could prominently facilitate the performance analyses of cellular networks, as well as the design of efficient networking protocols. In this letter, inspired by the clustering reality of BSs and the intrinsic heavy-tailed characteristics of human activities, we aim to re-examine the statistical pattern of BSs in cellular networks, and find the most appropriate spatial density distribution of BSs. Interestingly, by taking advantage of large amount of realistic deployment information of BSs from on-operating cellular networks, we find that the widely adopted Poisson distribution severely diverges from the practical density distribution of BSs. Instead, heavy-tailed distributions could more precisely match the practical distribution. In particular, -stable distribution, the distribution also found in traffic pattern of broadband networks and cellular networks, is most consistent with the practical one.
机译:蜂窝网络现在几乎已普遍部署,并且承受着不断增加的压力,以增加可交付给消费者的数据量。了解如何在空间上部署基站(BS)可以显着促进蜂窝网络的性能分析以及有效的网络协议的设计。在这封信中,受BS集群现实和人类活动固有的重尾特性的启发,我们旨在重新审查BS网络在蜂窝网络中的统计模式,并找到最合适的BS空间密度分布。有趣的是,通过利用正在运行的蜂窝网络中大量的BS的实际部署信息,我们发现被广泛采用的Poisson分布与BS的实际密度分布严重不同。相反,重尾分布可以更精确地匹配实际分布。特别地,在宽带网络和蜂窝网络的流量模式中也发现的稳定分布与实际分布最一致。

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