• DocumentCode
    1759745
  • Title

    Joint Unitary Triangularization for Gaussian Multi-User MIMO Networks

  • Author

    Khina, Anatoly ; Livni, Idan ; Hitron, Ayal ; Erez, Uri

  • Author_Institution
    Dept. of Electr. Eng. - Syst., Tel Aviv Univ., Tel Aviv, Israel
  • Volume
    61
  • Issue
    5
  • fYear
    2015
  • fDate
    42125
  • Firstpage
    2662
  • Lastpage
    2692
  • Abstract
    The problem of transmitting a common message to multiple users over the Gaussian multiple-input multiple-output broadcast channel is considered, where each user is equipped with an arbitrary number of antennas. A closed-loop scenario is assumed, for which a practical capacity-approaching scheme is developed. By applying judiciously chosen unitary operations at the transmit and receive nodes, the channel matrices are triangularized so that the resulting matrices have equal diagonals, up to a possible multiplicative scalar factor. This, along with the utilization of successive interference cancellation, reduces the coding and decoding tasks to those of coding and decoding over the single-antenna additive white Gaussian noise channel. Over the resulting effective channel, any off-the-shelf code may be used. For the two-user case, it was recently shown that such joint unitary triangularization is always possible. In this paper, it is shown that for more than two users, it is necessary to carry out the unitary linear processing jointly over multiple channel uses, i.e., space-time processing is employed. It is further shown that exact triangularization, where all resulting diagonals are equal, is still not always possible, and appropriate conditions for the existence of such are established for certain cases. When exact triangularization is not possible, an asymptotic construction is proposed, that achieves the desired property of equal diagonals up to edge effects that can be made arbitrarily small, at the price of processing a sufficiently large number of channel uses together.
  • Keywords
    AWGN channels; MIMO communication; broadcast channels; decoding; interference suppression; matrix multiplication; multiuser channels; radiofrequency interference; wireless channels; Gaussian multiple input multiple output broadcast channel; Gaussian multiuser MIMO network; capacity-approaching scheme; channel matrix; joint unitary triangularization; multiplicative scalar factor; single-antenna additive white Gaussian noise channel; successive interference cancellation; unitary linear processing; Covariance matrices; Encoding; MIMO; Matrix decomposition; Transmitting antennas; Vectors; Gaussian MIMO; Matrix decompositions; common-message broadcast; physical-layer multicast; space–time modulation; space???time modulation; successive interference cancellation;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2015.2409836
  • Filename
    7056559