DocumentCode
1638523
Title
Link Quality and Signal-to-Noise Ratio in 802.11 WLAN with Fading: A Time-Series Analysis
Author
Zhang, Jian ; Marsic, Ivan
Author_Institution
Dept. of ECE, Rutgers Univ., Piscataway, NJ
fYear
2006
Firstpage
1
Lastpage
5
Abstract
It is known that for multipath fading channels individual points or average signal-to-noise ratio (SNR) alone do not adequately describe the wireless channel quality. This paper uses time-series modeling to investigate the relationship between SNR and 802.11 link bandwidth which we use to define the link quality. Two models, one linear and another nonlinear, are constructed and fitted to time-series of SNR as input and link bandwidth as output. Their performance is measured in terms of the accuracy of prediction of the link bandwidth. By the linear Auto- Regressive Moving Average exogenous variables (ARMAX) model, we show the existence of nonlinearity in the input data series, which results in high prediction error. The prediction performance is significantly improved by the nonlinear Echo State Network (ESN) model due to its ability of nonlinear re-expression of the SNR time-series and associating them with the correct link bandwidth.
Keywords
autoregressive moving average processes; fading channels; multipath channels; time series; wireless LAN; 802.11 WLAN; linear auto-regressive moving average exogenous variables model; link quality; multipath fading channels; nonlinear echo state network model; signal-to-noise ratio; time-series analysis; wireless channel quality; Autoregressive processes; Bandwidth; Bit error rate; Error analysis; Fading; Predictive models; Signal analysis; Signal to noise ratio; Time series analysis; Wireless LAN;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference, 2006. VTC-2006 Fall. 2006 IEEE 64th
Conference_Location
Montreal, Que.
Print_ISBN
1-4244-0062-7
Electronic_ISBN
1-4244-0063-5
Type
conf
DOI
10.1109/VTCF.2006.450
Filename
4109715
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