Model and algorithm for the estimation of internal/environmental interference influence and improvement of IEEE 802.11/WiFi networks performance, using passive monitoring

The massive use of IEEE 802.11 networks/devices together with the technological progress on spectrum monitoring processing devices/software generate premises to search for improved techniques of mitigating the interference consequences. Many works approached co-channel and adjacent interference betw...

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Bibliographic Details
Published in2014 10th International Conference on Communications (COMM) pp. 1 - 4
Main Authors Greu, Victor, Ciotirnae, Petrica, Popescu, Florin, Burgos, Miguel G., Sima, Ion
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2014
Subjects
additive interference model
Hidden Markov models
IEEE 802.11 Standards
IEEE 802.11/WiFi networks
Interference
Monitoring
Performance evaluation
Software
Software algorithms
WiFi performance/spectrum passive monitoring
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Summary:The massive use of IEEE 802.11 networks/devices together with the technological progress on spectrum monitoring processing devices/software generate premises to search for improved techniques of mitigating the interference consequences. Many works approached co-channel and adjacent interference between IEEE 802.11/WiFi networks/devices, but few include non-WiFi interference sources, which sometimes strongly could influence performance when operating the same (2.4 GHz) ISM band. Our paper considered WiFi networks both internal and environmental interference sources, using available passive monitoring COTS (commercial off-the-shelf) devices/software and adding new analysis and optimization algorithms and features, in order to propose an integrated system, based on a general model and algorithm, for the estimation of internal/environmental interference influence and improvement of IEEE 802.11/WiFi networks performance/health.
DOI:10.1109/ICComm.2014.6866664