Load-aware channel selection for 802.11 WLANs with limited measurement

Summary, in English

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.

• Author: Mehmet Karaca; Björn Landfeldt
• Department/s: Department of Electrical and Information Technology; MAPCI - Mobile and Pervasive Computing Institute at Lund University; ELLIIT: the Linköping-Lund initiative on IT and mobile communication
• Publishing year: 2016-06-27
• Language: English
• Publication/Series: 2016 23rd International Conference on Telecommunications, ICT 2016
• Links: http://dx.doi.org/10.1109/ICT.2016.7500370
• Document type: Conference paper
• Publisher: IEEE - Institute of Electrical and Electronics Engineers Inc.
• Topic: Telecommunications
• Conference name: 23rd International Conference on Telecommunications (ICT), 2016
• Conference date: 2016-05-16 - 2016-05-18
• Conference place: Thessaloniki, Greece
• Status: Published
• Project: ELLIIT LU P01: WP2 Networking solutions
• ISBN/ISSN/Other: ISBN: 9781509019908