• DocumentCode
    2522178
  • Title

    How much training and feedback are needed in MIMO broadcast channels?

  • Author

    Kobayashi, Mari ; Caire, Giuseppe ; Jindal, Nihar

  • Author_Institution
    SUPELEC, Gif-sur-Yvette
  • fYear
    2008
  • fDate
    6-11 July 2008
  • Firstpage
    2663
  • Lastpage
    2667
  • Abstract
    We consider a MIMO fading broadcast channel where channel state information is acquired at user terminals via downlink training and explicit analog feedback is used to provide transmitter channel state information (CSIT) to the base station. The feedback channel (the corresponding uplink) is modeled as a MIMO multiple access channel. Under the assumption that data transmission, downlink training, and feedback are performed within the same channel coherence interval of length T symbols, the optimization of a lower bound on the achievable ergodic rate sum yields a non-trivial resource allocation tradeoff.We solve this tradeoff and provide the optimal training and feedback resource allocation for the case of zero-forcing beamforming. When the same power level is used during all stages, it is found that the optimal length of the training + feedback phases increases as O(radicT) for large T. On the other hand, when different power levels can be used for different stages, for sufficiently large T it is optimal to use the minimum number of symbols for training + feedback but to use power of order O(radicT).
  • Keywords
    MIMO communication; array signal processing; broadcast channels; fading channels; feedback; multi-access systems; resource allocation; MIMO fading broadcast channel; MIMO multiple access channel; channel state information; data transmission; downlink training; feedback channel; multiple input multiple output system; optimization; resource allocation; zero-forcing beamforming; Base stations; Broadcasting; Channel state information; Data communication; Downlink; Fading; MIMO; Resource management; State feedback; 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.2008.4595475
  • Filename
    4595475