Load-aware channel selection for 802.11 WLANs with limited measurement

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding


It has been known that load unaware channel selection in 802.11 networks results in high level interference, and can significantly reduce the network throughput. In current implementation, the only way to determine the traffic load on a channel is to measure that channel for a certain duration of time. Therefore, in order to find the best channel with the minimum load all channels have to be measured, which is costly and can cause unacceptable communication interruptions between the AP and the stations. In this paper, we propose a learning based approach which aims to find the channel with the minimum load by measuring only limited number of channels. Our method uses Gaussian Process Regressing to accurately track the traffic load on each channel based on the previous measured load. We confirm the performance of our algorithm by using experimental data, and show that the time consumed for the load measurement can be reduced up to 46% compared to the case where all channels are monitored.


Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Telecommunications
Original languageEnglish
Title of host publication2016 23rd International Conference on Telecommunications, ICT 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509019908
Publication statusPublished - 2016 Jun 27
Publication categoryResearch
Event23rd International Conference on Telecommunications (ICT), 2016 - Thessaloniki, Greece
Duration: 2016 May 162016 May 18
Conference number: 23


Conference23rd International Conference on Telecommunications (ICT), 2016
Abbreviated titleICT 2016

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