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09 January 2014
Article (Scientific journals)
Optimization of hard fusion based spectrum sensing for energy-constrained cognitive radio networks
Maleki, Sina; Prabhakar Chepuri, Sundeep; Leus, Geert
2013In Physical Communication, 9, p. 193-198
Peer reviewed


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Keywords :
Cognitive radio; Cooperative spectrum sensing; Energy-efficiency; Hard decision fusion; Scheduling; k-out-of-N rule
Abstract :
[en] 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.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Maleki, Sina ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Prabhakar Chepuri, Sundeep
Leus, Geert
Language :
Title :
Optimization of hard fusion based spectrum sensing for energy-constrained cognitive radio networks
Publication date :
December 2013
Journal title :
Physical Communication
Publisher :
Elsevier, Amsterdam, Netherlands
Volume :
Pages :
Peer reviewed :
Peer reviewed


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