Home // International Journal On Advances in Telecommunications, volume 6, numbers 3 and 4, 2013 // View article

Spectrum Sensing in the TV White Spaces

Authors:
Daniel Riviello
Roberto Garello
Sergio Benco
Floriana Crespi
Alberto Perotti

Keywords: Cognitive radio networks; spectrum sensing; white spaces; software-defined radio; DVB-T; eigenbased detectors.

Abstract:
Cognitive radio networks operating in the digital television white spaces are of particular interest for their practical applications. In this paper, we review several parametric and non-parametric test statistics commonly used in spectrum sensing. Both single-antenna as well as multiple antenna techniques are considered. For a selected subset of these techniques, an accurate performance assessment is carried out in the presence of a DVB-T primary signal generated using a software-defined real-time transmitter. Sensing performance is assessed both through Monte Carlo simulation and using a real software-defined radio implementation. Different channel profiles are considered. The obtained results show the performance of each algorithm in terms of detection probability under fixed false alarm rate and of Receiver Operating Curve (ROC). Moreover, these results permit to establish clear relationships between the considered algorithms in case of DVB-T primary signals.

Pages: 109 to 122

Copyright: Copyright (c) to authors, 2013. Used with permission.

Publication date: December 31, 2013

Published in: journal

ISSN: 1942-2601