Notification: Our email services are now fully restored after a brief, temporary outage caused by a denial-of-service (DoS) attack. If you sent an email on Dec 6 and haven't received a response, please resend your email.
CFP last date
20 December 2024
Reseach Article

Spectrum Sensing Techniques for Cognitive Radio in Next Generation Wireless Networks

Published on December 2014 by Bharat D. Deore, Dattatray S. Bade
National Conference on Advances in Communication and Computing
Foundation of Computer Science USA
NCACC2014 - Number 2
December 2014
Authors: Bharat D. Deore, Dattatray S. Bade
3b8d8305-948e-44f2-9879-dc8aaf539920

Bharat D. Deore, Dattatray S. Bade . Spectrum Sensing Techniques for Cognitive Radio in Next Generation Wireless Networks. National Conference on Advances in Communication and Computing. NCACC2014, 2 (December 2014), 15-19.

@article{
author = { Bharat D. Deore, Dattatray S. Bade },
title = { Spectrum Sensing Techniques for Cognitive Radio in Next Generation Wireless Networks },
journal = { National Conference on Advances in Communication and Computing },
issue_date = { December 2014 },
volume = { NCACC2014 },
number = { 2 },
month = { December },
year = { 2014 },
issn = 0975-8887,
pages = { 15-19 },
numpages = 5,
url = { /proceedings/ncacc2014/number2/19128-2016/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Advances in Communication and Computing
%A Bharat D. Deore
%A Dattatray S. Bade
%T Spectrum Sensing Techniques for Cognitive Radio in Next Generation Wireless Networks
%J National Conference on Advances in Communication and Computing
%@ 0975-8887
%V NCACC2014
%N 2
%P 15-19
%D 2014
%I International Journal of Computer Applications
Abstract

In recent years there has been an enormous growth in wireless communication devices and wireless users. Fulfillment of the demand requires the availability of the spectrum. Spectrum is a valuable resource in communication. So to fulfill the demand we either need more spectrums or make efficient use of current available spectrum. But as spectrum resources are limited we need to use them efficiently. It is impossible to use spectrum efficiently with the static spectrum allocation policy. Due to this static policy most of the spectrum remains underutilized. To use spectrum efficiently we need to use Dynamic Spectrum Allocation Policy. Cognitive Radio Technology is used to solve the problem in wireless networks resulting from the limited available spectrum and the inefficiency in the spectrum usage by exploiting the existing wireless spectrum opportunistically. Sensing of spectrum availability has been identified as a key requirement for dynamic spectrum allocation in cognitive radio networks. There are different Spectrum sensing techniques at physical layer such as Matched Filter detection, Energy detection and Cyclostationary Feature detection. In this paper we are presenting a performance analysis of these three techniques with variable gamma value. Simulation is done in MATLAB software

References
  1. Ashish Bagwari, MIEEE, Brahmijit Singh "Comparative Performance evaluation of Spectrum Sensing Techniques for Cognitive Radio networks. " 2012 4th international conference on computational Intelligence & communication network, 978-0-7695-4850-0 2012, IEEE (2012).
  2. Shahzad A. ET. al. "Comparative Analysis of Primary Transmitter Detection Based Spectrum Sensing Techniques in Cognitive Radio Systems. " Australian Journal of Basic and Applied Sciences, 4(9), pp. 4522-4531, INSInet Publication. (2010).
  3. I. F Akyildiz, W Lee, M. C Vuran, S Mohanty,"Next "Generation/ Dynamic spectrum access/cognitive radio wireless networks": A survey" Computer Networks 50(2006) 2127-2159, May 2006.
  4. Simon Haykin, David J. Thomson, and Jeffrey H. Reed (2009). "Spectrum Sensing for Cognitive Radio. " IEEE Proceeding, Vol. 97, No. 5, pp: 849-87. 2009. .
  5. FCC, "FCC 03-322," [Online]. Available:http://hraunfoss. fcc. gov/edocspublic/attachmatch/FCC-03-322A1. pdf Dec. 2003
  6. Federal Communications Commission. "Spectrum Policy Task Force. " Rep. ET Docket no. 02-135, Nov. 2002.
  7. Parikshit Karnik and Sagar Dumbre,. "Transmitter Detection Techniques for Spectrum Sensing in CR Networks. "Department of Electrical and Computer Engineering Georgia Institute of Technology. 2004
  8. Lu Lu*, Xiangwei Zhou, Uzoma Onunkwo and Geoffrey Ye Li. "Ten years of research in spectrum sensing and sharing in cognitive radio. " In EURAS Journal on Wireless Communications and Networking, pp. 1-16, Jan. 2012.
  9. Federal Communications Commission, "Notice of proposed rule making and order: Facilitating opportunities for flexible, efficient, and reliable spectrum use employing cognitive radio technologies,"ET Docket No. 03-108, Feb. 2005.
  10. Mitola, J. and G. Q. Maguire, 1999. "Cognitive Radio: Making Software Radios More Personal," IEEE Personal Communication Magazine, 6(4): 13-18.
  11. J. G. Proakis, Digital Communications, 4th ed. , McGraw-Hill.
  12. "Dynamic Spectrum access and management in cognitive Radio Networks" by Ekram Hossain, Dusit Niyato ,Zhu Han.
Index Terms

Computer Science
Information Sciences

Keywords

Cognitive Radio System Pu Snr Cr Cyclostationary Receiver Operation Characteristics.