Error rate analysis of cognitive radio transmissions with imperfect channel sensing
Cenk Gursoy, M.
IEEE Vehicular Technology Conference
Item Usage Stats
MetadataShow full item record
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.
Gaussian mixture noise
Symbol error probability
Average error probability
Error rate performance
Gaussian mixture noise
Imperfect channel sensing
M-ary pulse amplitude modulations (M-PAM)
Rectangular quadrature amplitude modulation
Symbol error probabilities (SEP)
Pulse amplitude modulation
Quadrature amplitude modulation
Published Version (Please cite this version)http://dx.doi.org/10.1109/VTCFall.2013.6692196
Showing items related by title, author, creator and subject.
Gursoy, M.C.; Gezici, S. (2011)Cognitive radio transmissions in the presence of channel uncertainty are considered. In practical scenarios, cognitive secondary users need to perform both channel sensing in order to identify whether the channel is being ...
Rahmati, M.; Duman, T. M. (Institute of Electrical and Electronics Engineers Inc., 2015)We study memoryless channels with synchronization errors as defined by a stochastic channel matrix allowing for symbol drop-outs or symbol insertions with particular emphasis on the binary and non-binary deletion channels. ...
Wang F.; Duman, T. M. (Institute of Electrical and Electronics Engineers, 2012)We describe a new channel model suitable in certain applications, namely the multi-input multi-output (MIMO) deletion channel. This channel models the scenarios where multiple transmitters and receivers suffering from ...