• DocumentCode
    2809297
  • Title

    Adaptive transmit antenna selection in MIMO amplify-and-forward relay channels

  • Author

    Truong, Kien T. ; Heath, Robert W., Jr.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
  • fYear
    2010
  • fDate
    14-19 March 2010
  • Firstpage
    3022
  • Lastpage
    3025
  • Abstract
    Obtaining the most from multiple-antenna relay systems requires adapting the number of substreams based on channel conditions. In this paper, we develop algorithms for selecting dynamically the number of data streams and the transmit antenna subsets at both the source and relay to minimize the vector symbol error rate at a fixed overall rate. An antenna selection mode of operation is defined by the number of transmit antennas and the substream-to-antenna mapping at the source and relay. We propose three suboptimal multimode algorithms that aim to select the best mode based on the knowledge of channel conditions. The algorithms are shown by Monte Carlo simulations to achieve the full diversity order and to provide considerable gains over the existing designs.
  • Keywords
    MIMO communication; Monte Carlo methods; adaptive antenna arrays; diversity reception; telecommunication network routing; transmitting antennas; MIMO channels; Monte Carlo simulations; adaptive transmit antenna selection; amplify-and-forward relay channels; data streams; diversity order; multiple antenna relay systems; suboptimal multimode algorithms; substream-to-antenna mapping; vector symbol error rate; Adaptive arrays; Error analysis; Feedback; Heuristic algorithms; MIMO; Maximum likelihood decoding; Receiving antennas; Relays; Signal processing; Transmitting antennas; MIMO relay; amplify-andforward; antenna selection; multi-antenna relay;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-4295-9
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2010.5496117
  • Filename
    5496117