Exact performance of cooperative spectrum sensing for cognitive radios with quantized information under imperfect reporting channels

Handle URI:
http://hdl.handle.net/10754/564802
Title:
Exact performance of cooperative spectrum sensing for cognitive radios with quantized information under imperfect reporting channels
Authors:
Ben Ghorbel, Mahdi; Nam, Haewoon; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
Spectrum sensing is the first and main step for cognitive radio systems to achieve an efficient use of the spectrum. Cooperation among cognitive radio users is a technique employed to improve the sensing performance by exploiting the diversity between the sensing channels to overcome the fading and shadowing effects which allows reduction of miss-detection and false alarm probabilities. Information can be exchanged between cooperating users in different formats from the binary hard information to the full soft information. Quantized information has shown its efficiency as a trade-off between binary hard and full soft for other cooperative schemes, in this paper, we investigate the use of quantized information between cooperating cognitive users. We derive closed-form expressions of the cooperative average false alarm and detection probabilities over fading channels for a generalized system model with not necessarily identical average sensing Signal-to-Noise Ratio (SNR) and imperfect reporting channels. Numerical simulations allow us to conclude a tradeoff between the quantization size and the reporting energy in order to achieve the optimal cooperative error probability. Copyright © 2013 by the Institute of Electrical and Electronic Engineers, Inc.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Electrical Engineering Program; Communication Theory Lab
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2013 IEEE 78th Vehicular Technology Conference (VTC Fall)
Conference/Event name:
2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013
Issue Date:
Sep-2013
DOI:
10.1109/VTCFall.2013.6692201
Type:
Conference Paper
ISSN:
15502252
ISBN:
9781467361873
Appears in Collections:
Conference Papers; Electrical Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorBen Ghorbel, Mahdien
dc.contributor.authorNam, Haewoonen
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2015-08-04T07:16:28Zen
dc.date.available2015-08-04T07:16:28Zen
dc.date.issued2013-09en
dc.identifier.isbn9781467361873en
dc.identifier.issn15502252en
dc.identifier.doi10.1109/VTCFall.2013.6692201en
dc.identifier.urihttp://hdl.handle.net/10754/564802en
dc.description.abstractSpectrum sensing is the first and main step for cognitive radio systems to achieve an efficient use of the spectrum. Cooperation among cognitive radio users is a technique employed to improve the sensing performance by exploiting the diversity between the sensing channels to overcome the fading and shadowing effects which allows reduction of miss-detection and false alarm probabilities. Information can be exchanged between cooperating users in different formats from the binary hard information to the full soft information. Quantized information has shown its efficiency as a trade-off between binary hard and full soft for other cooperative schemes, in this paper, we investigate the use of quantized information between cooperating cognitive users. We derive closed-form expressions of the cooperative average false alarm and detection probabilities over fading channels for a generalized system model with not necessarily identical average sensing Signal-to-Noise Ratio (SNR) and imperfect reporting channels. Numerical simulations allow us to conclude a tradeoff between the quantization size and the reporting energy in order to achieve the optimal cooperative error probability. Copyright © 2013 by the Institute of Electrical and Electronic Engineers, Inc.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectCooperative spectrum sensingen
dc.subjectImperfect reporting channelen
dc.subjectQuantized decisionen
dc.titleExact performance of cooperative spectrum sensing for cognitive radios with quantized information under imperfect reporting channelsen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentCommunication Theory Laben
dc.identifier.journal2013 IEEE 78th Vehicular Technology Conference (VTC Fall)en
dc.conference.date2 September 2013 through 5 September 2013en
dc.conference.name2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013en
dc.conference.locationLas Vegas, NVen
dc.contributor.institutionElectronics and Communication Engineering, Hanyang University, Ansan, South Koreaen
kaust.authorBen Ghorbel, Mahdien
kaust.authorAlouini, Mohamed-Slimen
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