• DocumentCode
    1762926
  • Title

    Fundamental Limits of Cooperation

  • Author

    Lozano, Aurelie ; Heath, Robert W. ; Andrews, Jeffrey G.

  • Author_Institution
    Univ. Pompeu Fabra, Barcelona, Spain
  • Volume
    59
  • Issue
    9
  • fYear
    2013
  • fDate
    Sept. 2013
  • Firstpage
    5213
  • Lastpage
    5226
  • Abstract
    Cooperation is viewed as a key ingredient for interference management in wireless networks. This paper shows that cooperation has fundamental limitations. First, it is established that in systems that rely on pilot-assisted channel estimation, the spectral efficiency is upper-bounded by a quantity that does not depend on the transmit powers; in this framework, cooperation is possible only within clusters of limited size, which are subject to out-of-cluster interference whose power scales with that of the in-cluster signals. Second, an upper bound is also shown to exist if the cooperation extends to an entire (large) system operating as a single cluster; here, pilot-assisted transmission is necessarily transcended. Altogether, it is concluded that cooperation cannot in general change an interference-limited network to a noise-limited one. Consequently, the existing literature that routinely assumes that the high-power spectral efficiency scales with the log-scale transmit power provides only a partial characterization. The complete characterization proposed in this paper subdivides the high-power regime into a degree-of-freedom regime, where the scaling with the log-scale transmit power holds approximately, and a saturation regime, where the spectral efficiency hits a ceiling that is independent of the power. Using a cellular system as an example, it is demonstrated that the spectral efficiency saturates at power levels of operational relevance.
  • Keywords
    channel estimation; cooperative communication; interference (signal); radio networks; spectral analysis; cellular system; degree-of-freedom regime; high-power regime; high-power spectral efficiency scales; in-cluster signals; interference management; interference-limited network; log-scale transmit power; noise-limited network; operational relevance; out-of-cluster interference; partial characterization; pilot-assisted channel estimation; pilot-assisted transmission; power scales; saturation regime; transmit powers; wireless networks; Channel estimation; Coherence; Fading; Interference; Noise; Receivers; Transmitters; Cooperative systems; interference; wireless communications; wireless networks;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2013.2253153
  • Filename
    6482234