Experimental evaluation of measurement-based SINR interference models

Tan, Wee Lum, Hu, Peizhao and Portmann, Marius (2012). Experimental evaluation of measurement-based SINR interference models. In: Proceedings: IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM). IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), San Francisco, CA, United States, (). 25-28 June 2012. doi:10.1109/WoWMoM.2012.6263695

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Author Tan, Wee Lum
Hu, Peizhao
Portmann, Marius
Title of paper Experimental evaluation of measurement-based SINR interference models
Conference name IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)
Conference location San Francisco, CA, United States
Conference dates 25-28 June 2012
Proceedings title Proceedings: IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)
Journal name 2012 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2012 - Digital Proceedings
Place of Publication Piscataway, NJ, United States
Publisher IEEE (Institute for Electrical and Electronic Engineers)
Publication Year 2012
Sub-type Fully published paper
DOI 10.1109/WoWMoM.2012.6263695
Open Access Status
ISBN 9781467312370
9781467312387
Total pages 9
Collection year 2013
Language eng
Abstract/Summary In 802.11-based wireless networks, the ability to accurately predict the impact of interference via the use of an interference model is essential to better and more efficient channel assignment algorithms and data routing protocols. Recently, there have been several works that proposed new interference models utilizing the well-known concept of signal-to-interference-plus-noise ratio (SINR). Using active measurements, these models construct a profile that maps either the measured received signal strength (RSS) or the computed SNR or SINR values at a receiver, to its packet delivery ratio (PDR) performance. The profile is then used by the models to predict the PDR performance in more complex scenarios involving multiple interferers. While comparison with other basic models (e.g. hop-based and distance-based) have been made in these works, there has as yet been no comprehensive comparison on the accuracy of these measurement-based SINR interference models. In this paper, we systematically evaluate the performance of three measurement-based SINR interference models in predicting the interference impact on the successful reception of packets. Our evaluations cover various interference scenarios with both 802.11 and non-802.11 interferers, in experiments carried out in both our conducted testbed and an over-the-air testbed. Our results show that an interference model that utilizes an SINR profile can accurately predict the PDR performance with a maximum root-mean-square error (RMSE) of 10.8% across all our evaluations. In contrast, interference models that rely on the SNR profile and the RSS profile perform poorly, with a maximum RMSE of 61.7% and 66.1% respectively.
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Institutional Status UQ

 
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Created: Fri, 27 Apr 2012, 15:41:15 EST by Dr Marius Portmann on behalf of School of Information Technol and Elec Engineering