• DocumentCode
    248759
  • Title

    Extended spatial modulation scheme with low complexity detection algorithms

  • Author

    Longzhuang He ; Jintao Wang ; Jian Song

  • Author_Institution
    Tsinghua Nat. Lab. for Inf. Sci. & Technol., Tsinghua Univ., Beijing, China
  • fYear
    2014
  • fDate
    4-8 Aug. 2014
  • Firstpage
    582
  • Lastpage
    587
  • Abstract
    Extended spatial modulation (ESM) is proposed as a novel spatial modulation scheme in this paper. Extended spatial modulation is a spatial modulation design where the number of active antennas can be various. The data rate could be improved as more symbols are available for transmitting and thus more information bits can be modulated during each time slot. The minimum distance of the transmitted symbols can also be further maximized as more symbols are available for optimizing selection which further improves the symbol error performance. Moreover, a near-optimal detection scheme with low complexity is also proposed in this paper. An approximated analytical expression for the symbol error probability (SEP) of the proposed detection scheme is derived along with the complexity analysis. Numerical simulations are proposed to demonstrate the performance of the proposed detection scheme and to validate the theoretical analysis.
  • Keywords
    MIMO communication; computational complexity; error statistics; modulation; optimisation; probability; signal detection; ESM; SEP; complexity analysis; data rate; extended spatial modulation scheme; low complexity detection algorithms; near-optimal detection scheme; spatial modulation design; symbol error performance; symbol error probability; Complexity theory; Modulation; Receiving antennas; Slot antennas; Transmitting antennas; extended spatial modulation (ESM); iterative validation (IV); spatial modulation (SM);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Mobile Computing Conference (IWCMC), 2014 International
  • Conference_Location
    Nicosia
  • Print_ISBN
    978-1-4799-7324-8
  • Type

    conf

  • DOI
    10.1109/IWCMC.2014.6906421
  • Filename
    6906421