NDLI: A soft fusion scheme for cooperative spectrum sensing based on the log-likelihood ratio

Content Provider	IEEE Xplore Digital Library
Author	Yingjiao Zhao Guixia Kang Jing Wang Xiao Liang Yijing Liu
Copyright Year	2013
Description	Author affiliation: Beijing Univ. of Posts & Telecommun., Beijing, China (Yingjiao Zhao; Guixia Kang; Xiao Liang; Yijing Liu) \|\| Beijing Normal Univ., Beijing, China (Jing Wang)
Abstract	Cognitive spectrum sensing is a key technology to improve the spectrum utilization and meanwhile decrease the possibility of interfering the primary users(PUs). Based on the cooperation of several cognitive radio sensors(CRSs), the channel fading and hidden terminal problems are avoided. The performance of detection has great relevance with the algorithm of combining the data from different CRSs. Soft fusion scheme is proved to perform better than hard fusion scheme in many scenarios[1]. The log-likelihood ratio(LLR) based soft fusion scheme is widely studied these years, but the complex or unavailable form of the distribution of the data at fusion center(FC) largely limits the optimization of the cognitive system. This paper proposes a new soft fusion scheme based on LLR which simplifies the analysis of the data at FC, and presents the exact closed-form expressions for the distribution of the data at FC, which turn out to be the Gaussian Distribution. The closed-form expressions for the probabilities of miss detection and false alarm derived are analytically tractable, therefore they efficiently guarantee the global optimality with low computational complexity. Simulation results verify the effectiveness of the proposed data fusion scheme and the validity of the expressions.
Starting Page	3150
Ending Page	3154
File Size	240472
Page Count	5
File Format	PDF
ISBN	9781467362351
ISSN	21669570
DOI	10.1109/PIMRC.2013.6666688
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-08
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sensors Cognitive radio Signal to noise ratio Closed-form solutions Optimization Simulation sequential detection cooperative spectrum sensing log-likelihood radio
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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