• DocumentCode
    2312441
  • Title

    Transmitter optimization for broadcast ISI channels

  • Author

    Wang, Jibing ; Yao, Kung

  • Author_Institution
    Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA
  • Volume
    2
  • fYear
    2001
  • fDate
    4-7 Nov. 2001
  • Firstpage
    1743
  • Abstract
    We consider the transmitter optimization for broadcast ISI channels. We assume the independent decoding and we obtain explicitly the mutual information for broadcast channels with or without multiple transmit and receive antennas. We optimize the input autocorrelation matrices such that the sum of throughput is maximized. We propose an iterative algorithm to solve the optimization problem. Simulation results show that a dramatic capacity gain is achievable by the transmitter optimization. The total capacity can be further improved by employing multiple antennas at both the transmitter and the receivers.
  • Keywords
    MIMO systems; antenna arrays; broadcast channels; channel capacity; correlation methods; intersymbol interference; iterative methods; matrix algebra; optimisation; radio transmitters; receiving antennas; transmitting antennas; MIMO channel models; additive Gaussian noise; broadcast ISI channels; capacity gain; independent decoding; input autocorrelation matrices optimization; intersymbol interference; iterative algorithm; multiple receive antennas; multiple transmit antennas; mutual information; simulation results; transmitter optimization; Autocorrelation; Broadcasting; Intersymbol interference; Iterative algorithms; Iterative decoding; Mutual information; Receiving antennas; Throughput; Transmitters; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2001. Conference Record of the Thirty-Fifth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA, USA
  • ISSN
    1058-6393
  • Print_ISBN
    0-7803-7147-X
  • Type

    conf

  • DOI
    10.1109/ACSSC.2001.987783
  • Filename
    987783