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
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