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Distributed Wideband Spectrum Sensing for Cognitive Radio Networks
Arroyo-Valles, Rocio; Maleki, Sina; Leus, Geert
2014In 2014 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP)
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Keywords :
Adaptive networks; distributed estimation; wideband spectrum sensing; cognitive radio
Abstract :
[en] Wideband spectrum sensing improves the agility of spectrum sensing and spectrum hand-off in cognitive radio systems. In this paper, a distributed wideband spectrum sensing technique over adaptive diffusion networks is proposed. Considering unknown and different channels between the primary and the cognitive users, an averaged received power spectrum across all the cognitive users is estimated by each user using diffusion adaptation techniques. This averaged power spectrum estimate is reliable enough for the users to perform spectrum sensing and make a decision regarding the presence or the absence of the primary user. The simulation results show that the detection performance of the system improves with the number of iterations. Further, a satisfactory detection performance at low SNRs is achieved after a few iterations, which is a desired characteristic for cognitive radio systems. Finally, it is shown that the cooperative technique outperforms the non-cooperative one in terms of estimation accuracy and detection performance.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Arroyo-Valles, Rocio
Maleki, Sina ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Leus, Geert
Language :
English
Title :
Distributed Wideband Spectrum Sensing for Cognitive Radio Networks
Publication date :
May 2014
Event name :
2014 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP)
Event place :
Florence, Italy
Event date :
4-9 May 2014
Main work title :
2014 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP)
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 05 March 2014

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