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Modulation classification for MIMO systems: State of the art and research directions

Author

Listed:
  • Bahloul, Mohammad Rida
  • Yusoff, Mohd Zuki
  • Abdel-Aty, Abdel-Haleem
  • Saad, M. Naufal M.
  • Al-Jemeli, Marwan

Abstract

Blind techniques and algorithms for Multiple-Input Multiple-Output (MIMO) signals interception have recently attracted a great deal of research efforts. This is due to their important applications in the military and civil telecommunications domains. One essential step in the signal interception process is to blindly recognize the modulation scheme of the MIMO signals. This process is formally called Modulation Classification (MC). This paper discusses the modulation classification for MIMO systems and presents a comprehensive and critical literature review of the existing MC algorithms for MIMO systems; where possible, gaps in the knowledge base are identified and future directions for the research work are suggested.

Suggested Citation

  • Bahloul, Mohammad Rida & Yusoff, Mohd Zuki & Abdel-Aty, Abdel-Haleem & Saad, M. Naufal M. & Al-Jemeli, Marwan, 2016. "Modulation classification for MIMO systems: State of the art and research directions," Chaos, Solitons & Fractals, Elsevier, vol. 89(C), pages 497-505.
    • Handle: RePEc:eee:chsofr:v:89:y:2016:i:c:p:497-505
    DOI: 10.1016/j.chaos.2016.02.029
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    Cited by:

    1. Wassim Ben Chikha & Rabah Attia, 2017. "On the utility of MIMO multi-relay networks for modulation identification over spatially-correlated channels," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 64(4), pages 735-747, April.

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