Abstract
We consider the state of the wireless channel in terms of the covariance stationary signal-to-noise ratio (SNR) process and parameterize it using the probability distribution function of SNR and lag-1 autocorrelation coefficient of associated autocorrelation function (ACF). In order to discriminate the state of the wireless channel we apply methods of statistical process control. Particularly, we use exponential weighted moving average (EWMA) change-point statistical test to detect shifts in the mean of the SNR process. The proposed approach is verified using SNR measurements of IEEE 802.11b wireless channel. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Moltchanov, D. (2006). State description of wireless channels using change-point statistical tests. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3970 LNCS, pp. 275–286). Springer Verlag. https://doi.org/10.1007/11750390_24
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