• DocumentCode
    1774868
  • Title

    Low-complexity sphere decoding for generalised spatial modulation

  • Author

    Yuanqiang Wang ; Jianhua Ge ; Juan Chen

  • Author_Institution
    State Key Lab. of Integrated Service Networks, Xidian Univ., Xi´an, China
  • fYear
    2014
  • fDate
    23-25 Oct. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Generalised Spatial Modulation (GSM) is a relatively new modulation scheme for multi-antenna wireless communications to further increase the spectral efficiency of Spatial Modulation (SM). There are two well-known Sphere Decoding (SD) algorithms tailored to SM: Receiver-centric SD (SM-Rx) and Transmit-centric SD (SM-Tx). In this paper, we show that the SM-Rx is applicable to GSM while SM-Tx is not. Therefore, an improved Transmit-centric SD algorithm for GSM (GSM-Tx) is proposed. The GSM-Tx provides a more efficient and accurate computation of the searching points that lie inside a sphere without triangular factorization. Simulation results show that the proposed GSM-Tx can reduce complexity dramatically while maintaining the optimum bit-error-ratio (BER) performance, especially for high spectral efficiency GSM/SM.
  • Keywords
    decoding; error statistics; modulation coding; radio receivers; radio transmitters; receiving antennas; transmitting antennas; GSM-Tx; SM-Rx; SM-Tx; generalised spatial modulation spectral efficiency; high spectral efficiency GSM; high spectral efficiency SM; improved transmit-centric SD algorithm; low-complexity sphere decoding; multiantenna wireless communication; optimum BER performance; optimum bit error ratio performance; receiver-centric SD; triangular factorization; Bit error rate; Computational complexity; Decoding; GSM; Modulation; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Signal Processing (WCSP), 2014 Sixth International Conference on
  • Conference_Location
    Hefei
  • Type

    conf

  • DOI
    10.1109/WCSP.2014.6992084
  • Filename
    6992084