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A Fast Handover Procedure Based on Smart Association Decision for Mobile IEEE 802.15.4 Wireless Sensor Networks Read chapter Read first chapter

2015 | OriginalPaper | Chapter

Improved \(p\)-norm Energy Detector in AWGN Channel for Spectrum Sensing in Cognitive Radio

Authors : Vaibhav Kumar, Monika Jain, Ranjan Gangopadhyay, Soumitra Debnath

Published in: Wireless Internet

Publisher: Springer International Publishing

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Abstract

The classical energy detection (CED) system is a well-known technique for spectrum sensing in cognitive radio application. Generalized \(p\)-norm detector for spectrum sensing has been shown to provide improved performance over CED under certain conditions. Further, improved algorithm exists which works better than the classical energy detection algorithm. The present paper highlights the combined benefit of the \(p\)-norm detector and an improved algorithm for spectrum sensing in achieving a higher performance gain.

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previous chapter Transmission Window Optimization for Caching-Based Transport Protocols in Wireless Sensor Networks
next chapter Middleware Solution for HealthCare IoT Applications
Literature
1.
Hossain, E., Bhargava, V.K.: Cognitive Wireless Communication Networks. Springer, New York (2007)CrossRef
2.
Lpez-Bentez, M., Casadevall, F.: Improved energy detection spectrum sensing for cognitive radio. IET Commun. 6(8), 785–796 (2012)MathSciNetCrossRef
3.
Chen, Y.: Improved energy detector for random signals in Gaussian noise. IEEE Trans. Wirel. Commun. 9(2), 558–563 (2010)CrossRef
4.
Banjade, V.R.S., Tellambura, C., Jiang, H.: Performance of \(p\)-norm detector in AWGN, fading and diversity reception. IEEE Trans. Veh. Technol. 63(7), 3209–3222 (2014)CrossRef
Metadata
Title
Improved -norm Energy Detector in AWGN Channel for Spectrum Sensing in Cognitive Radio
Authors
Vaibhav Kumar
Monika Jain
Ranjan Gangopadhyay
Soumitra Debnath
Copyright Year
2015
Book
Wireless Internet

Print ISBN: 978-3-319-18801-0

Electronic ISBN: 978-3-319-18802-7

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-18802-7_7

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