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Title: Improving densely deployed wireless network performance in unlicensed spectrum through hiddennode aware channelassignment
Authors: Manitpornsut, S. 
Landfeldt, B. 
Boukerche, A. 
Keywords: Channel assignment;Radio spectrum management;Wireless LAN;Wireless network performance
Issue Date: 2011
Publisher: Scopus
University of the Thai Chamber of Commerce
Source: S. Manitpornsut, B. Landfeldt, A. Boukerche (2011) Improving densely deployed wireless network performance in unlicensed spectrum through hiddennode aware channelassignment. Performance Evaluation Vol.68 No.9, 825-840.
Journal: Performance Evaluation 
Abstract: It is well known that a wireless local area network (WLAN) based on the IEEE 802.11 standard suffers from interference and scalability problems due to the limited number of nonoverlapping channels. In order to mitigate the interference problem, channel assignment algorithms has 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 show that previously proposed channel assignment algorithms may lead to an increased number of hidden nodes in dense network deployments. We also show that this can significantly decrease the performance of the network. Furthermore, we present results from experiments showing that the Request to send (RTS)/Clear to send (CTS) mechanism is unable to solve the hidden node problem in infrastructure WLANs, and therefore careful consideration needs to be taken when choosing channel assignment strategies in densely deployed wireless networks. To this end, we propose both a centralized channel assignment algorithm and a distributed channel assignment algorithm. Using a simulation study, we show that the proposed algorithms can outperform traditional channel assignment in densely deployed scenarios, in terms of QoS sensitive VoIP support without compromising the aggregate throughput, and that they are therefore a better performing alternative in such settings.
Rights: This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.
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