• DocumentCode
    163700
  • Title

    Spectral Efficient Communications Employing 1-Bit Quantization and Oversampling at the Receiver

  • Author

    Halsig, Tim ; Landau, Lukas ; Fettweis, Gerhard

  • Author_Institution
    Dept. of Mobile Commun. Syst., Tech. Univ. Dresden, Dresden, Germany
  • fYear
    2014
  • fDate
    14-17 Sept. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    To relax power consumption requirements in multi- gigabit/s communications systems low resolution quantization can be used. Information-theoretic results have shown that systems employing 1-bit quantization and oversampling are a viable option for this. This work investigates such a structure under the influence of additive Gaussian noise and two matched pulse shaping filters. It is described how a BCJR algorithm, based on a finite-state channel assumption, can be used to reconstruct symbols of higher order modulation schemes that allow the transmission of more than one bit per symbol. Furthermore, it is shown how symbol sources that are fitted to the 1-bit constraint can significantly improve the error rate performance of the system.
  • Keywords
    AWGN; matched filters; power consumption; pulse shaping; quadrature amplitude modulation; quantisation (signal); receivers; signal reconstruction; signal sampling; BCJR algorithm; QAM; additive Gaussian noise; error rate performance; finite-state channel assumption; higher order modulation schemes; information-theory; low resolution quantization; matched pulse shaping filters; multigigabit/s communications systems; power consumption; receiver; spectral efficient communications; symbol reconstruction; word length 1 bit; Communication systems; Entropy; Error analysis; Markov processes; Quantization (signal); Receivers; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Fall), 2014 IEEE 80th
  • Conference_Location
    Vancouver, BC
  • Type

    conf

  • DOI
    10.1109/VTCFall.2014.6966184
  • Filename
    6966184