A Geometric Probability Model for Capacity Analysis and Interference Estimation in Wireless Mobile Cellular Systems
A Geometric Probability Model for Capacity Analysis and Interference Estimation in Wireless Mobile Cellular Systems
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DOI：
10.1109/glocom.2011.6134503
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发表时间：
2011-12
期刊：
影响因子：
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通讯作者：
Yanyan Zhuang;Yuanqian Luo;Lin X. Cai;Jianping Pan
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文献类型：
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作者：
Yanyan Zhuang;Yuanqian Luo;Lin X. Cai;Jianping Pan
蜂窝系统中的性能度量，例如每用户链路容量和同信道干扰，取决于通信节点之间的统计距离。本文提出了一种基于几何概率的蜂窝系统容量分析和干扰估计的解析模型。我们首先推导出蜂窝基站和移动的用户之间的封闭形式的距离分布，给出从基站到同一六边形小区中的任意用户或相邻小区中的用户的距离的显式概率密度函数。与数值方法或近似方法以及现有的几何概率方法不同，该统一方法提供了可以导致所有统计矩的显式分布函数，并且不受基站或用户的坐标分布的限制。仿真结果表明，该方法具有较高的精度和应用前景。
Performance metrics in cellular systems, such as per-user link capacity and co-channel interference, are dependent on the statistical distances between communicating nodes. An analytical model based on geometric probability in cellular systems is presented here for capacity analysis and interference estimation. We first derive the closed-form distance distribution between cellular base stations and mobile users, giving the explicit probability density functions of the distance from a base station to an arbitrary user in the same hexagonal cell, or to the users in adjacent cells. Different from numerical methods or approximation, and the existing approaches in geometric probability, this unified approach provides explicit distribution functions that can lead to all statistical moments, and is not limited by coordinate distributions, either of base stations or subscribers. Analytical results on per-user link capacity and co-channel interference are derived and validated through simulation, which shows the high accuracy and promising potentials of this approach.