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Small cells placement scheme in metropolitan area environment

机译：大城市环境中的小小区放置方案

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摘要

The low power radio access nodes, also known as small cells, are always applied to compensate the coverage of macro cells so as to increase the network capacity. The radio spectrum condition is greatly affected by the buildings and there will be many communication dead zones in the metropolitan area environment if only macro cells are deployed. Generally, the communication dead zone is always small and in irregular shape, therefore, the deployment of small cells is one of the most convincible ways to deal with it. However, the interference, necessary overlapping for handoff, coverage improvement, and cost are correlated to one another. And it is hard to determine the number and locations of small cells to be deployed. In this paper, we propose the Particle Swarm Optimization (PSO) based small cell placement algorithm to effectively deploy the small cells in the communication dead zone of metropolitan area. The fitness value in the PSO process of the proposed scheme is tuned by the adaption function to compromise the coverage maximization and necessary overlapping of small cells. A practical area of Taipei City was adopted as an experimental example to investigate the performance of the proposed scheme. The experimental results illustrate that the proposed scheme places small cells in proper locations so that the coverage can be effectively improved.
机译：低功率无线电接入节点（也称为小型小区）始终用于补偿宏小区的覆盖范围，从而增加网络容量。无线电频谱状况受建筑物的影响很大，如果仅部署宏小区，都会在城域环境中出现许多通信盲区。通常，通信死区总是很小并且呈不规则形状，因此，部署小小区是解决该问题的最令人信服的方法之一。但是，干扰，越区切换所必需的重叠，覆盖范围的改善以及成本之间是相互关联的。而且，很难确定要部署的小型蜂窝的数量和位置。在本文中，我们提出了一种基于粒子群优化（PSO）的小小区布局算法，以有效地将小小区部署在大城市的通信死区中。拟议方案的PSO过程中的适应度值通过自适应函数进行调整，以损害覆盖范围的最大化和小蜂窝小区的必要重叠。以台北市的一个实际区域为实验实例，研究了该方案的性能。实验结果表明，所提出的方案将小型小区放置在适当的位置，从而可以有效地改善覆盖范围。

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