• DocumentCode
    148239
  • Title

    Generalised spatial modulation for large-scale MIMO

  • Author

    Younis, Abdelhamid ; Mesleh, Raed ; Di Renzo, Marco ; Haas, Harald

  • Author_Institution
    Inst. for Digital Commun., Univ. of Edinburgh, Edinburgh, UK
  • fYear
    2014
  • fDate
    1-5 Sept. 2014
  • Firstpage
    346
  • Lastpage
    350
  • Abstract
    In this paper, the performance of generalised spatial modulation (GSM) and spatial modulation (SM) is studied assuming channel estimation errors (CSEs) and correlated Rayleigh and Rician fading channels. A new, simple, accurate and general analytical closed-form upper bound for the average bit error ratio (ABER) performance of both systems is derived. The analytical bound is shown to be applicable to correlated and uncorrelated channels, as well as to small and large scale multiple-input multiple-output (MIMO) systems. The results demonstrate that GSM is more suitable for large-scale MIMO systems than SM. The performance gain of GSM over SM is about 5 dB. The results also show that SM is very robust to CSEs. Specifically, the performance degradation of SM in the presence of CSEs are 0.7 dB and 0.3 dB for Rayleigh and Rician fading channels respectively. Lastly, the findings in this paper underpin the suitability of both GSM and SM for future large-scale MIMO systems.
  • Keywords
    MIMO communication; Rayleigh channels; Rician channels; channel estimation; error statistics; modulation; ABER; CSE; GSM; Rician fading channel; average bit error ratio; channel estimation errors; closed-form upper bound; correlated Rayleigh channel; generalised spatial modulation; large-scale MIMO systems; multiple-input multiple-output systems; uncorrelated channels; Channel estimation; Fading; GSM; Modulation; Rician channels; Transmitting antennas; Generalised spatial modulation (GSM); channel estimation errors (CSEs); large scale MIMO; multiple-input multiple-output (MIMO); spatial modulation (SM);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European
  • Conference_Location
    Lisbon
  • Type

    conf

  • Filename
    6952068