Channel Clustering and Probabilistic Channel Visiting Techniques for WLAN Interference Mitigation in Bluetooth Devices

TitleChannel Clustering and Probabilistic Channel Visiting Techniques for WLAN Interference Mitigation in Bluetooth Devices
Publication TypeJournal Article
Year of Publication2007
AuthorsPang, Q., and V. C. M. Leung
JournalElectromagnetic Compatibility, IEEE Transactions on
Volume49
Pagination914 -923
Date Publishednov.
ISSN0018-9375
KeywordsBluetooth, Bluetooth device, channel clustering, frequency 2.4 GHz, probabilistic channel visiting technique, probability, statistical pattern recognition, wireless LAN, wireless local area network, WLAN interference
Abstract

Since Bluetooth and wireless local area network (WLAN) technologies both operate at the 2.4-GHz industrial, scientific, and medical (ISM) band, the two types of devices may suffer from mutual interference and performance degradations. In this paper, we propose two new techniques, channel clustering and probabilistic channel visiting, to effectively improve the existing coexistence and interference mitigation mechanisms. The channel clustering technique employs statistical pattern recognition to classify the status of Bluetooth channels more accurately. The probabilistic channel visiting is used to more equitably allocate the channel resources between Bluetooth and WLAN devices. The effectiveness of these techniques is quantified by simulations. Results show that both techniques are beneficial in improving the performance of the existing mechanisms.

URLhttp://dx.doi.org/10.1109/TEMC.2007.908262
DOI10.1109/TEMC.2007.908262

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