NDLI: Optimized Reliable Data Combining Cooperative Spectrum Sensing Method in Cognitive Radio Networks

Content Provider	Springer Nature Link
Author	Moradkhani, Masoud Azmi, Paeiz Pourmina, Mohammad Ali
Copyright Year	2013
Abstract	Spectrum sensing is one of the most important tasks of each cognitive radio network. Cooperation among secondary users, by increasing the sensing accuracy can improve the network throughput, but also increases the energy consumption of cognitive radio network. In this paper, we propose the reliable data combining method for cooperative spectrum sensing, according to which the fusion center by using two threshold values, makes the final decision only if it is confident enough in validity of received local data. Otherwise, an additional sensing will be performed. Throughput maximization problems under interference constraints are formulated for both soft and hard fusion schemes and the optimal sensing time and threshold values are obtained. Simulations show that for all SNRs, higher absolute throughput and also higher throughput per energy consumption are accessible, rather than conventional cooperative sensing. Moreover, for a large range of SNRs the less energy is consumed.
Starting Page	569
Ending Page	583
Page Count	15
File Format	PDF
ISSN	09296212
Journal	Wireless Personal Communications
Volume Number	74
Issue Number	2
e-ISSN	1572834X
Language	English
Publisher	Springer US
Publisher Date	2013-07-05
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Cooperative sensing Energy consumption Energy detection Fusion scheme Throughput Communications Engineering, Networks Signal, Image and Speech Processing Computer Communication Networks
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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