• DocumentCode
    1824108
  • Title

    Computational efficiency of list sphere detection

  • Author

    Hedley, Mark ; Suzuki, Hajime ; Daniels, Graham

  • Author_Institution
    CSIRO ICT Centre, Epping, NSW
  • fYear
    2006
  • fDate
    1-3 Feb. 2006
  • Firstpage
    66
  • Lastpage
    70
  • Abstract
    In this paper the performance of a promising MIMO detection algorithm, list sphere detection, is evaluated for a range of list lengths and for four variations to the basic algorithm. The evaluation uses a MIMO-OFDM-BICM system simulation to show bit error performance versus the computational effort, and the results are compared to maximum likelihood detection. The results provide guidance on the selection of an appropriate list length and algorithm. In applications where a short list length must be used due to memory or computation constraints the results show the loss in performance that can be expected
  • Keywords
    MIMO systems; OFDM modulation; error statistics; interleaved codes; maximum likelihood detection; modulation coding; MIMO detection algorithm; MIMO-OFDM-BICM system; bit error performance; computation constraints; computational efficiency; list sphere detection; maximum likelihood detection; memory constraints; Australia; Computational efficiency; Computational modeling; Decoding; Detection algorithms; Forward error correction; Gaussian noise; MIMO; Mathematics; Memory management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications Theory Workshop, 2006. Proceedings. 7th Australian
  • Conference_Location
    Perth, WA
  • Print_ISBN
    1-4244-0213-1
  • Type

    conf

  • DOI
    10.1109/AUSCTW.2006.1625257
  • Filename
    1625257