Downlink capacity and base station density in cellular networks
Downlink capacity and base station density in cellular networks
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发表时间：
2011-09
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通讯作者：
S. Yu;Seong-Lyun Kim
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作者：
S. Yu;Seong-Lyun Kim
关于蜂窝网络的性能，已有大量的分析结果，其中基站规则地位于六边形或正方形网格上。这种常规模型不能反映实际情况，往往高估了网络性能。此外，可以仅对固定位置的用户（例如，小区中心或边缘用户）。在本文中，我们使用随机几何方法，基站可以建模为一个齐次泊松点过程。我们还考虑了用户密度，并推导出用户中断概率，任意用户下中断由于低信号干扰噪声比或高拥塞的多个用户。利用该结果，我们计算了下行链路蜂窝网络中成功传输的密度。一个有趣的观察是，成功传输密度随着基站密度而增加，但增加速率减小。这意味着安装的基站数量应该超过n倍，以将网络容量增加n倍。我们的研究结果将提供一个框架的无线基础设施的性能分析与高密度的接入点，这将显着减少网络级仿真的负担。
There have been a bulk of analytic results about the performance of cellular networks where base stations are regularly located on a hexagonal or square lattice. This regular model cannot reflect the reality, and tends to overestimate the network performance. Moreover, tractable analysis can be performed only for a fixed location user (e.g., cell center or edge user). In this paper, we use the stochastic geometry approach, where base stations can be modeled as a homogeneous Poisson point process. We also consider the user density, and derive the user outage probability that an arbitrary user is under outage owing to low signal-to-interference-plus-noise ratio or high congestion by multiple users. Using the result, we calculate the density of success transmissions in the downlink cellular network. An interesting observation is that the success transmission density increases with the base station density, but the increasing rate diminishes. This means that the number of base stations installed should be more than n-times to increase the network capacity by a factor of n. Our results will provide a framework for performance analysis of the wireless infrastructure with a high density of access points, which will significantly reduce the burden of network-level simulations.