Optimization of hard fusion based spectrum sensing for energy-constrained cognitive radio networks

The detection reliability of a cognitive radio network improves by employing a cooperative spectrum sensing scheme. However, increasing the number of cognitive radios entails a growth in the cooperation overhead of the system. Such an overhead leads to a throughput degradation of the cognitive radio...

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Bibliographic Details
Published in:Physical communication 2013-12, Vol.9, p.193-198
Main Authors: Maleki, Sina, Chepuri, Sundeep Prabhakar, Leus, Geert
Format: Article
Language:English
Subjects:
[formula omitted]-out-of-[formula omitted] rule
Cognitive radio
Cooperative spectrum sensing
Energy efficiency
Hard decision fusion
Scheduling
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Summary:The detection reliability of a cognitive radio network improves by employing a cooperative spectrum sensing scheme. However, increasing the number of cognitive radios entails a growth in the cooperation overhead of the system. Such an overhead leads to a throughput degradation of the cognitive radio network. Since current cognitive radio networks consist of low-power radios, the energy consumption is another critical issue. In this paper, throughput optimization of the hard fusion based sensing using the k-out-of-N rule is considered. We maximize the throughput of the cognitive radio network subject to a constraint on the probability of detection and energy consumption per cognitive radio in order to derive the optimal number of users, the optimal k and the best probability of false alarm. The simulation results based on the IEEE 802.15.4/ZigBee standard, show that the majority rule is either optimal or almost optimal in terms of the network throughput.
ISSN:1874-4907
1876-3219
DOI:10.1016/j.phycom.2012.07.003