• DocumentCode
    1789968
  • Title

    Optimal power allocation for channel estimation in spatial modulation

  • Author

    Xiping Wu ; Di Renzo, Marco ; Haas, Harald

  • Author_Institution
    Joint Res. Inst. for Signal & Image Process, Univ. of Edinburgh, Edinburgh, UK
  • fYear
    2014
  • fDate
    10-14 June 2014
  • Firstpage
    5481
  • Lastpage
    5485
  • Abstract
    This work investigates the impact of power allocation for channel estimation (CE) in spatial modulation (SM). SM is a unique single-stream multiple-input multiple-output (MIMO) transmission technique that achieves spatial multiplexing gains. While SM completely avoids inter-channel interference, a single active antenna leads to a challenge for CE, i.e., all transmit antennas have to be activated sequentially to send the pilot signal. More time as well as energy is therefore consumed for CE. Driven by this motivation, we propose a closed-form optimal power allocation (OPA) for SM in this paper. Regardless of the SM transceiver structure, the optimal solution only depends on the pilot sequence length and the ratio between the number of pilots and the number of total symbols. Simulations results show that the bit error ratio performance of OPA-based SM tightly approaches the case of perfect channel state information with a gap of less than 0.8 dB.
  • Keywords
    MIMO communication; adjacent channel interference; channel estimation; error statistics; modulation; space division multiplexing; MIMO transmission technique; bit error ratio performance; channel estimation; interchannel interference; multiple-input multiple-output; optimal power allocation; perfect channel state information; pilot sequence length; single active antenna; spatial modulation; spatial multiplexing gains; Bit error rate; Channel estimation; MIMO; Resource management; Signal to noise ratio; Transmitting antennas; MIMO; Spatial modulation (SM); channel estimation; optimal power allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2014 IEEE International Conference on
  • Conference_Location
    Sydney, NSW
  • Type

    conf

  • DOI
    10.1109/ICC.2014.6884193
  • Filename
    6884193