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Load-aware channel selection for 802.11 WLANs with limited measurement

Karaca, Mehmet LU and Landfeldt, Björn LU (2016) 23rd International Conference on Telecommunications (ICT), 2016 In 2016 23rd International Conference on Telecommunications, ICT 2016
Abstract

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... (More)

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.

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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
2016 23rd International Conference on Telecommunications, ICT 2016
publisher
Institute of Electrical and Electronics Engineers Inc.
conference name
23rd International Conference on Telecommunications (ICT), 2016
external identifiers
  • scopus:84979265878
  • scopus:84979265878
DOI
10.1109/ICT.2016.7500370
language
English
LU publication?
yes
id
464e7fd0-550a-467f-8532-f88d8c81ff6e
date added to LUP
2016-04-12 09:21:34
date last changed
2017-01-30 10:50:38
@inproceedings{464e7fd0-550a-467f-8532-f88d8c81ff6e,
  abstract     = {<p>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.</p>},
  author       = {Karaca, Mehmet and Landfeldt, Björn},
  booktitle    = {2016 23rd International Conference on Telecommunications, ICT 2016},
  language     = {eng},
  month        = {06},
  publisher    = {Institute of Electrical and Electronics Engineers Inc.},
  title        = {Load-aware channel selection for 802.11 WLANs with limited measurement},
  url          = {http://dx.doi.org/10.1109/ICT.2016.7500370},
  year         = {2016},
}