State description of wireless channels using change-point statistical tests

Authors:
D. Moltchanov
Affiliations:
Institute of Communication Engineering, Tampere University of Technology, Tampere, Finland
Venue:
WWIC'06 Proceedings of the 4th international conference on Wired/Wireless Internet Communications
Year:
2006

Citing 4
Cited 4

A Markov-based channel model algorithm for wireless networks

Wireless Networks
Loss performance model for wireless channels with autocorrelated arrivals and losses

Computer Communications
Cross-layer modeling of wireless channels for data-link and IP layer performance evaluation

Computer Communications
Capturing important statistics of a fading/shadowing channel for network performance analysis

IEEE Journal on Selected Areas in Communications

On-Line Wireless Channel Modeling for Performance Control Purposes

NEW2AN '08 / ruSMART '08 Proceedings of the 8th international conference, NEW2AN and 1st Russian Conference on Smart Spaces, ruSMART on Next Generation Teletraffic and Wired/Wireless Advanced Networking
Modeling TCP SACK performance over wireless channels with semi-reliable ARQ/FEC

Wireless Networks
The structure of the reactive performance control system for wireless channels

NEW2AN'06 Proceedings of the 6th international conference on Next Generation Teletraffic and Wired/Wireless Advanced Networking
Survey: Performance models for wireless channels

Computer Science Review

Quantified Score

Hi-index	0.00

Visualization

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.