DocumentCode :
3112868
Title :
Spectral efficiency limits in pilot-assisted cooperative communications
Author :
Lozano, Angel ; Andrews, Jeffrey G. ; Heath, Robert W., Jr.
Author_Institution :
Dept. of Inf. & Commun. Technol., Univ. Pompeu Fabra (UPF), Barcelona, Spain
fYear :
2012
fDate :
1-6 July 2012
Firstpage :
1132
Lastpage :
1136
Abstract :
Cooperation in a large wireless network with pilotassisted coherent communication is shown to have certain fundamental limitations, namely that even perfect cooperation cannot in general change an interference-limited network to a noise-limited one. Specifically, we demonstrate the existence of a spectral efficiency upper bound that does not grow with the transmit power, when channels are estimated via pilot signals. This is because pilot-assisted channel estimation is only possible within finite cooperation clusters, resulting in out-of-cluster interference that scales with the transmit power. Making the clusters excessively large can actually worsen this effect, nor does sidestepping the pilot-assisted channel estimation via noncoherent demodulation provide an escape. Using a cellular system as an example, it is demonstrated that the spectral efficiency saturates at power levels of operational relevance, indicating that the lackluster gains from cooperation observed in practice may be based on fundamental information-theoretic limitations, rather than current technology imperfections.
Keywords :
cellular radio; channel estimation; cooperative communication; demodulation; radiofrequency interference; cellular system; finite cooperation clusters; fundamental information-theoretic limitations; interference-limited network; large wireless network; noncoherent demodulation; out-of-cluster interference; pilot-assisted channel estimation; pilot-assisted coherent communication; pilot-assisted cooperative communications; spectral efficiency limits; spectral efficiency upper bound; Channel estimation; Fading; Interference; MIMO; Receivers; Signal to noise ratio; Transmitters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on
Conference_Location :
Cambridge, MA
ISSN :
2157-8095
Print_ISBN :
978-1-4673-2580-6
Electronic_ISBN :
2157-8095
Type :
conf
DOI :
10.1109/ISIT.2012.6283030
Filename :
6283030
Link To Document :
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