Load-aware channel selection for 802.11 WLANs with limited measurement
(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
- Karaca, Mehmet LU and Landfeldt, Björn LU
- organization
- publishing date
- 2016-06-27
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 2016 23rd International Conference on Telecommunications, ICT 2016
- article number
- 7500370
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 23rd International Conference on Telecommunications (ICT), 2016
- conference location
- Thessaloniki, Greece
- conference dates
- 2016-05-16 - 2016-05-18
- external identifiers
-
- scopus:84979265878
- scopus:84979265878
- wos:000386851600028
- ISBN
- 9781509019908
- DOI
- 10.1109/ICT.2016.7500370
- project
- ELLIIT LU P01: WP2 Networking solutions
- language
- English
- LU publication?
- yes
- id
- 464e7fd0-550a-467f-8532-f88d8c81ff6e
- date added to LUP
- 2016-04-12 09:21:34
- date last changed
- 2024-03-06 21:02:04
@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}}, isbn = {{9781509019908}}, language = {{eng}}, month = {{06}}, publisher = {{IEEE - 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}}, doi = {{10.1109/ICT.2016.7500370}}, year = {{2016}}, }