• DocumentCode
    2092027
  • Title

    Efficient embedded signaling through rotated modulation constellations for SLM-based OFDM systems

  • Author

    Sghaier, Mouna ; Abdelkefi, Fatma ; Siala, Mohamed

  • Author_Institution
    MEDIATRON Lab., Univ. of Carthage, Tunis, Tunisia
  • fYear
    2013
  • fDate
    9-13 June 2013
  • Firstpage
    5252
  • Lastpage
    5256
  • Abstract
    In this paper, we propose a novel optimized blind selected mapping (SLM) technique that avoids the need of the use of any side information (SI) through the joint exploitation of a set of rotated and unrotated QAM constellation of the Orthogonal Frequency Division Multiplexing (OFDM) signal and that consequently performs the role of an inherent embedded signaling for the OFDM system. Furthermore, in order to efficiently recover the transmitted sequence, we propose a set of decision schemes that banks on the Max-Log-Maximum A Posteriori (MAP) algorithm from which we investigate hard and soft decision processes. Our proposed method guarantees a reliable and perfect signal recovery at the receiver side and dramatically reduces the peak-to-average power Ratio (PAPR) level at the transmitter side. Simulation results are given to support our claims.
  • Keywords
    OFDM modulation; blind source separation; maximum likelihood estimation; quadrature amplitude modulation; signal processing; MAP algorithm; PAPR; SLM-based OFDM systems; decision schemes; efficient embedded signaling; max-log-maximum a posteriori algorithm; optimized blind selected mapping technique; orthogonal frequency division multiplexing signal; peak-to-average power ratio level redution; rotated QAM constellation; rotated modulation constellations; side information; signal recovery; unrotated QAM constellation; Bit error rate; Indexes; Peak to average power ratio; Quadrature amplitude modulation; Receivers; Silicon; Max-LogMaximum A Posteriori; OFDM; PAPR; Selected Mapping; rotated set and embedded signalling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2013 IEEE International Conference on
  • Conference_Location
    Budapest
  • ISSN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/ICC.2013.6655420
  • Filename
    6655420