Error rate analysis of cognitive radio transmissions with imperfect channel sensing
buir.contributor.author | Gezici, Sinan | |
dc.contributor.author | Ozcan G. | en_US |
dc.contributor.author | Gursoy, M. C. | en_US |
dc.contributor.author | Gezici, Sinan | en_US |
dc.coverage.spatial | Las Vegas, NV, USA | en_US |
dc.date.accessioned | 2016-02-08T12:05:41Z | |
dc.date.available | 2016-02-08T12:05:41Z | |
dc.date.issued | 2013 | en_US |
dc.department | Department of Electrical and Electronics Engineering | en_US |
dc.description | Date of Conference: 2-5 Sept. 2013 | en_US |
dc.description | IEEE | en_US |
dc.description.abstract | In this paper, error rate performance of cognitive radio transmissions is studied in the presence of imperfect channel sensing decisions. It is assumed that cognitive users first perform channel sensing, albeit with possible errors. Then, depending on the sensing decisions, they select the transmission energy level and employ MI × MQ rectangular quadrature amplitude modulation (QAM) for data transmission over a fading channel. In this setting, the optimal decision rule is formulated under the assumptions that the receiver is equipped with the sensing decision and perfect knowledge of the channel fading. It is shown that the thresholds for optimal detection at the receiver are the midpoints between the signals under any sensing decision. Subsequently, minimum average error probability expressions for M-ary pulse amplitude modulation (M-PAM) and MI×MQ rectangular QAM transmissions attained with the optimal detector are derived. The effects of imperfect channel sensing decisions on the average symbol error probability are analyzed. Copyright © 2013 by the Institute of Electrical and Electronic Engineers, Inc. | en_US |
dc.description.provenance | Made available in DSpace on 2016-02-08T12:05:41Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2013 | en |
dc.identifier.doi | 10.1109/VTCFall.2013.6692196 | en_US |
dc.identifier.issn | 1090-3038 | |
dc.identifier.uri | http://hdl.handle.net/11693/27933 | |
dc.language.iso | English | en_US |
dc.publisher | IEEE | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1109/VTCFall.2013.6692196 | en_US |
dc.source.title | 2013 IEEE 78th Vehicular Technology Conference (VTC Fall) | en_US |
dc.subject | Channel sensing | en_US |
dc.subject | Cognitive radio | en_US |
dc.subject | Fading channel | en_US |
dc.subject | Gaussian mixture noise | en_US |
dc.subject | PAM | en_US |
dc.subject | QAM | en_US |
dc.subject | Symbol error probability | en_US |
dc.subject | Average error probability | en_US |
dc.subject | Channel sensing | en_US |
dc.subject | Error rate performance | en_US |
dc.subject | Gaussian mixture noise | en_US |
dc.subject | Imperfect channel sensing | en_US |
dc.subject | M-ary pulse amplitude modulations (M-PAM) | en_US |
dc.subject | Rectangular quadrature amplitude modulation | en_US |
dc.subject | Symbol error probabilities (SEP) | en_US |
dc.subject | Cognitive radio | en_US |
dc.subject | Optimization | en_US |
dc.subject | Pulse amplitude modulation | en_US |
dc.subject | Quadrature amplitude modulation | en_US |
dc.subject | Radio transmission | en_US |
dc.subject | Fading channels | en_US |
dc.title | Error rate analysis of cognitive radio transmissions with imperfect channel sensing | en_US |
dc.type | Conference Paper | en_US |
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