DocumentCode
2513039
Title
Optimal PSK signaling over stationary Rayleigh fading channels
Author
Dorpinghaus, Meik ; Ascheid, Gerd ; Meyr, Heinrich ; Mathar, Rudolf
Author_Institution
Inst. for Integrated Signal Process. Syst., RWTH Aachen Univ., Aachen
fYear
2008
fDate
6-11 July 2008
Firstpage
126
Lastpage
130
Abstract
We consider a stationary Rayleigh flat-fading channel with temporal correlation and a compactly supported power spectral density of the channel fading process. We assume that the channel state is unknown to both transmitter and receiver, while the law of the channel is presumed to be known to the receiver. Given a set of fixed signaling sequences, the optimum input distribution, with respect to the achievable rate, has the property of a constant Kullback-Leibler distance between the output distribution and a mixture of the output distributions conditioned on the different input sequences. Based on this, we determine the set of optimum input distributions for PSK signaling. In addition, we identify the special case of transmitting one pilot symbol to acquire a phase reference as being included in the set of optimum input distributions. We derive an integral expression for the capacity constrained to PSK signaling depending on the autocorrelation of the channel and the SNR. Evaluation of the asymptotic high SNR behavior shows a loss in the constrained capacity with respect to the case of perfect channel knowledge corresponding to at least one signaling dimension, i.e., the information transmitted by one symbol.
Keywords
Rayleigh channels; channel capacity; phase shift keying; telecommunication signalling; Rayleigh flat-fading channel; constant Kullback-Leibler distance; fixed signaling sequences; optimal PSK signaling; optimum input distribution; phase reference; power spectral density; temporal correlation; Channel capacity; Channel state information; Fading; Gaussian channels; Mobile communication; Mutual information; Phase shift keying; Rayleigh channels; Signal processing; Transmitters;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2008. ISIT 2008. IEEE International Symposium on
Conference_Location
Toronto, ON
Print_ISBN
978-1-4244-2256-2
Electronic_ISBN
978-1-4244-2257-9
Type
conf
DOI
10.1109/ISIT.2008.4594961
Filename
4594961
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