NDLI: An overview on non-parametric spectrum sensing in cognitive radio

Content Provider	IEEE Xplore Digital Library
Author	Abdul Salam, Ahmed O. Sheriff, Ray E. Al-Araji, Saleh R. Mezher, Kahtan Nasir, Qassim
Copyright Year	2014
Description	Author affiliation: Khalifa University for Science, Technology, and Research, P.O. Box 573, Sharjah, UAE (Al-Araji, Saleh R.; Mezher, Kahtan) \|\| Sharjah University, P. O. Box 27272, UAE (Nasir, Qassim) \|\| University of Bradford, School of Engineering, Design and Technology, BD7 1DP, UK (Abdul Salam, Ahmed O.; Sheriff, Ray E.)
Abstract	The scarcity of frequency spectrum used for wireless communication systems has attracted a considerable amount of attention in recent years. The cognitive radio (CR) terminology has been widely accepted as a smart platform mainly aimed at the efficient interrogation and utilization of permitted spectrum. Non-parametric spectrum sensing, or estimation, represents one of the prominent tools that can be proposed when CR works under an undetermined environment. As such, the periodogram, filter bank, and multi-taper methods are well considered in many studies without relying on the transmission channel's characteristics. A unified approach to all these non-parametric spectrum sensing techniques is presented in this paper with analytical and performance comparison using simulation methods. Results show that the multi-taper method outperforms the others.
Starting Page	14
Ending Page	19
File Size	1065786
Page Count	6
File Format	PDF
e-ISBN	9781479965946
DOI	10.1109/ICCES.2014.7030919
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-22
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	filter bank Wireless sensor networks cognitive radio OFDM periodogram spectrum sensing Cognitive radio multi-taper Niobium
Content Type	Text
Resource Type	Article

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