DocumentCode :
2494535
Title :
Wavelet Based Detection of Shadow Fading in Wireless Networks
Author :
Sikdar, Biplab ; Long, Xiaobo
Author_Institution :
Rensselaer Polytech. Inst., Troy
fYear :
2007
fDate :
26-30 Nov. 2007
Firstpage :
305
Lastpage :
309
Abstract :
In wireless communications, shadow fading can cause at least 6 dB power loss for 10% of the time [1]. Early detection of shadow fading plays an important part in facilitating the design of adaptive data transmission schemes. We propose an accurate, on-line detection mechanism to detect a receiver entering or leaving shadow regions using simply signal strength measurements. The method is based on wavelet decomposition of signal strength time series into independent fading components. Our measurements indicate that fast fading signals have a scale invariant nature. This scale invariance of fading signals is destroyed when shadow fading, which is log-normal distributed and is independent of fast fading components, is added to the signal. An online detection mechanism is then proposed which exploits this phenomenon. Real measurements of signal strength traces are used to validate the detection mechanism.
Keywords :
fading channels; normal distribution; radio networks; time series; wavelet transforms; adaptive data transmission scheme; independent fading component; log-normal distribution; scale invariance; shadow fading detection; signal strength time series; wavelet decomposition; wireless communication; wireless network; Channel estimation; Data communication; Degradation; Fading; Legged locomotion; Protocols; Shadow mapping; Signal analysis; Wavelet coefficients; Wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 2007. GLOBECOM '07. IEEE
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4244-1042-2
Electronic_ISBN :
978-1-4244-1043-9
Type :
conf
DOI :
10.1109/GLOCOM.2007.64
Filename :
4410974
Link To Document :
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