Gap-free load balancing algorithms in wireless LANs using cell breathing technique

Ilhan Demirci, Ömer Korçak
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引用次数: 2

Abstract

A balanced network generally has a fair user distribution among the access points (APs) and enables a maximized overall network throughput. However, there are some hot-spot areas resulting in uneven load distribution among APs. Existing load balancing techniques mostly require hardware or software contribution at user side to control the association of users with APs. Power adjustment techniques at AP side require no modification at user devices, but, coverage reduction can create unserviced areas. We provide a dynamic min-max load balancing algorithm based on power adjustment technique which provides service availability guarantee by dynamically checking the coverage holes. We enhanced the algorithm by increasing awareness to heterogeneous nature of user distribution. We show the effectiveness of the provided algorithms via extensive set of simulations. Simulation results show that the algorithms improved the load balancing among the hot-spot areas up to 10%.
基于小区呼吸技术的无线局域网无间隙负载均衡算法
均衡的网络通常在接入点(ap)之间实现公平的用户分配,并实现最大的整体网络吞吐量。然而,存在一些热点区域,导致ap之间的负载分布不均匀。现有的负载平衡技术大多需要在用户端提供硬件或软件来控制用户与ap的关联。AP侧的功率调整技术不需要对用户设备进行修改,但是,覆盖范围的减少可能会造成未服务区域。提出了一种基于功率调节技术的动态最小-最大负载均衡算法,该算法通过动态检测覆盖孔来保证服务的可用性。我们通过增加对用户分布异构性的认识来增强算法。我们通过大量的仿真证明了所提供算法的有效性。仿真结果表明,该算法将热点区域之间的负载均衡提高了10%。
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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