高密度混沌无线局域网无线资源管理新方法

Suparerk Manitpornsut
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引用次数: 0

摘要

众所周知,基于IEEE 802.11标准的WLAN由于非重叠信道数量有限而存在干扰和可扩展性问题。为了缓解干扰问题,信道分配算法是近年来研究的热点。研究表明,这种算法可以大大减少无线接入点之间的干扰。然而,在本文中,我们发现传统的信道分配算法会在高网络密度下引入高隐藏节点指数,从而大大降低WLAN的性能。我们表明,在使用这种算法分配信道时需要仔细考虑。此外,我们提出了一种新的算法,称为群集信道分配(CCA),它以状态图的形式呈现。从我们的模拟结果中,我们表明,在密集部署的场景中,CCA可以优于传统的信道分配,因此在这种设置中是一个更好的选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Novel radio resource management for high density chaotic wireless LANs
It is well known that WLAN based on the IEEE 802.11 standard suffers from interference and scalability problems due to the limited number of non-overlapping channels. In order to mitigate the interference problem, channel assignment algorithms have been a popular research topic in recent years. It has been shown that such algorithms can greatly reduce the interference among wireless access points. However, in this paper we present our findings that traditional channel assignment algorithm can introduce a high hidden node index in high network density, thus greatly reducing the WLAN performance. We show that careful consideration needs to be taken when assigning channels using such algorithms. In addition, we propose a novel algorithm, called Cluster Channel Assignment (CCA), which is presented in the form of a state diagram. From our simulation results, we show that CCA can outperform traditional channel assignment in densely deployed scenarios, and is therefore a better alternative in such settings.
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