Artificial Bee Colony Algorithm applied to WiMAX network planning problem

V. Berrocal-Plaza, M. A. Vega-Rodríguez, J. Pulido, J. M. Sánchez-Pérez
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引用次数: 15

Abstract

WiMAX (Worldwide Interoperability for Microwave Access) or IEEE 802.16 is a technology developed to provide greater bandwidth and coverage. One of the most important challenges in wireless deploying network is the Base Stations (BS) location to meet traffic and coverage requirements efficiently. In this paper we are using a particularized swarm intelligence algorithm based on collective behavior of honey bees to find good solutions. In order to minimize the interference among cells and reduce energy consumption, we apply a post-processing to obtain power control and sectorization. Simulations results show that our method provides more efficient and better solutions than those are obtained by other evolutionary algorithms in the same instances.
人工蜂群算法在WiMAX网络规划中的应用
WiMAX(全球微波接入互操作性)或IEEE 802.16是一项为提供更大带宽和覆盖范围而开发的技术。无线部署网络中最重要的挑战之一是基站(BS)的位置如何有效地满足流量和覆盖要求。在本文中,我们使用一种特殊的基于蜜蜂集体行为的群体智能算法来寻找好的解决方案。为了减少单元间的干扰,降低能量消耗,我们采用后处理来实现功率控制和分割。仿真结果表明,在相同的情况下,该方法比其他进化算法提供了更有效和更好的解。
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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