Article (Scientific journals)
Censored Truncated Sequential Spectrum Sensing for Cognitive Radio Networks
Maleki, Sina; Leus, Geert
2013In IEEE Journal on Selected Areas In Communications, 31 (3), p. 364 - 378
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Keywords :
censoring; cognitive radio networks; energy-efficiency; distributed spectrum sensing; sequential sensing
Abstract :
[en] Reliable spectrum sensing is a key functionality of a cognitive radio network. Cooperative spectrum sensing improves the detection reliability of a cognitive radio system but also increases the system energy consumption which is a critical factor particularly for low-power wireless technologies. A censored truncated sequential spectrum sensing technique is considered as an energy-saving approach. To design the underlying sensing parameters, the maximum average energy consumption per sensor is minimized subject to a lower bounded global probability of detection and an upper bounded false alarm rate. This way both the interference to the primary user due to miss detection and the network throughput as a result of a low false alarm rate are controlled. To solve this problem, it is assumed that the cognitive radios and fusion center are aware of their location and mutual channel properties. We compare the performance of the proposed scheme with a fixed sample size censoring scheme under different scenarios and show that for low-power cognitive radios, censored truncated sequential sensing outperforms censoring. It is shown that as the sensing energy per sample of the cognitive radios increases, the energy efficiency of the censored truncated sequential approach grows significantly.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Maleki, Sina ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Leus, Geert
Language :
English
Title :
Censored Truncated Sequential Spectrum Sensing for Cognitive Radio Networks
Publication date :
March 2013
Journal title :
IEEE Journal on Selected Areas In Communications
ISSN :
0733-8716
Publisher :
IEEE
Special issue title :
Cognitive radio series
Volume :
31
Issue :
3
Pages :
364 - 378
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBilu :
since 09 January 2014

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