• Dec 24, 2021 News!Vol 10, No 1- Vol 10, No 2 has been indexed by IET-(Inspec)   [Click]
  • Aug 27, 2020 News!Welcome Prof. D. P. Sharma from India to join the Editorial board of IJFCC     [Click]
  • Aug 18, 2022 News!Vol.11, No.3 has been published with online version.     [Click]
General Information
Editor-in-chief

Prof. Pascal Lorenz
University of Haute Alsace, France
 
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.

IJFCC 2013 Vol.2(6): 668-672 ISSN: 2010-3751
DOI: 10.7763/IJFCC.2013.V2.249

Cyclostationary Feature Detection in Cognitive Radio for Ultra-Wideband Communication Using Cooperative Spectrum Sensing

Aparna P. S. and M. Jayasheela
Abstract—Almost 80 to 90 percent of the radio spectrum is left unutilized at any period of time, while at the same time some other regions of spectrum experience overcrowding. A cognitive radio is a smart radio that can identify the idle frequencies (also termed as spectral holes or white spaces) and allot them for the use of unlicensed secondary users. The basic functionality of a cognitive radio is to sense the spectrum accurately by avoiding any chances for interfering with primary or licensed users. Spectrum sensing can be performed either in cooperative or non-cooperative method. This paper, performs cooperative spectrum sensing, using the amplify and forward based relay technique. The idea is to utilize relay nodes to convey the signal transmitted from primary user to the fusion center and then estimate the presence or absence of primary activities in the spectrum. The cyclostationary feature detection is the spectrum sensing method used here. Bit error rates for the UWB channel models (CM1/CM2/CM3/CM4) are calculated and compared.

Index Terms—Cognitive radio, cooperative spectrum sensing, cyclostationary feature detection, ultra-wideband (UWB) communications.

Aparna P. S. is with the Electronics and Communication Department of Prime College of Engineering, University of Calicut, Kerala, India (e-mail: aparna.surendran@gmail.com).
M. Jayasheela is with the Electronics and Communication Department of SNS College of Technology, Coimbatore, Anna University, India (email: jayasheela.ece.snsct@gmail.com).

[PDF]

Cite:Aparna P. S. and M. Jayasheela, "Cyclostationary Feature Detection in Cognitive Radio for Ultra-Wideband Communication Using Cooperative Spectrum Sensing," International Journal of Future Computer and Communication vol. 2, no. 6, pp. 249, 2013.

Copyright © 2008-2022. International Journal of Future Computer and Communication. All rights reserved.
E-mail: ijfcc@ejournal.net