• DocumentCode
    163698
  • Title

    Spatially-Averaging Channel Estimation for Spatial Modulation

  • Author

    Xiping Wu ; Di Renzo, Marco ; Haas, Harald

  • Author_Institution
    Inst. for Digital Commun., Univ. of Edinburgh, Edinburgh, UK
  • fYear
    2014
  • fDate
    14-17 Sept. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Spatial modulation (SM) is a unique single-stream, multiple-input multiple-output (MIMO) transmission technique. Unlike multi-steam MIMO schemes, a single transmit antenna is activated in SM at any given time. Therefore, inter-channel interference is completely avoided. In addition, SM requires only one radio-frequency (RF) chain, regardless of the number of transmit antennas used. This key property results in a significant saving in quiescent power of power amplifiers. However, a challenge occurs when channel estimation (CE) is implemented for SM: the transmit antennas have to send pilots sequentially. Thus, in order not to compromise the throughput, the pilot number of each transmit antenna is restricted. This means we focus on improving the CE performance without increasing the number of pilots. In this paper, we propose a novel CE method for SM, in which the channel is jointly estimated across receive antennas. Simulation results show that the proposed approach outperforms the conventional method for various channel correlations between the receive antennas.
  • Keywords
    MIMO communication; channel estimation; power amplifiers; receiving antennas; transmitting antennas; MIMO transmission technique; interchannel interference; power amplifiers; receive antennas; single transmit antenna; spatial modulation; spatially averaging channel estimation; Bit error rate; Channel estimation; Correlation; MIMO; Receiving antennas; Signal to noise ratio; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Fall), 2014 IEEE 80th
  • Conference_Location
    Vancouver, BC
  • Type

    conf

  • DOI
    10.1109/VTCFall.2014.6966183
  • Filename
    6966183