• 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