• DocumentCode
    71560
  • Title

    Spatial Modulation Scheme With Low-Complexity Detection Algorithms

  • Author

    Yang Jiang ; Yuanlu Wang ; Jiejun Wen ; Mingxing Shao ; Yibo Li

  • Author_Institution
    Coll. of Commun. Eng., Chongqing Univ., Chongqing, China
  • Volume
    19
  • Issue
    8
  • fYear
    2015
  • fDate
    Aug. 2015
  • Firstpage
    1422
  • Lastpage
    1425
  • Abstract
    In this letter, two sphere-decoding (SD) algorithms for spatial modulation (SM) are proposed to reduce the computational complexity of maximum-likelihood (ML) optimum detector. Through theoretical analysis and simulation results, it is shown that the proposed algorithms offer a near-optimum performance. Under the same spectral efficiency, both the SDs offer a significant reduction in computational complexity with respect to not only the ML detector but also the conventional SDs for SM. Furthermore, it is shown that one of the proposed SDs is always superior to the others in computational complexity, and the other one always offers the same bit error ratio (BER) as ML-optimum detection.
  • Keywords
    MIMO communication; computational complexity; decoding; error statistics; maximum likelihood detection; modulation; BER; MIMO systems; ML optimum detector; SD algorithms; bit error ratio; computational complexity reduction; low-complexity detection algorithms; maximum-likelihood optimum detector; spatial modulation scheme; spectral efficiency; sphere-decoding algorithms; Algorithm design and analysis; Computational complexity; Detectors; Electrostatic discharges; MIMO; Modulation; Spatial modulation (SM); maximum-likelihood (ML); multiple-input-multiple-output (MIMO); spatial modulation (SM); sphere decoding (SD); transmit-centric SD (Tx-SD);
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2015.2435741
  • Filename
    7110518