• DocumentCode
    1376126
  • Title

    Nonequiprobable signaling on the Gaussian channel

  • Author

    Calderbank, A.R. ; Ozarow, Lawrence H.

  • Author_Institution
    AT&T Bell Labs., Murray Hill, NJ, USA
  • Volume
    36
  • Issue
    4
  • fYear
    1990
  • fDate
    7/1/1990 12:00:00 AM
  • Firstpage
    726
  • Lastpage
    740
  • Abstract
    Signaling schemes for the Gaussian channel based on finite-dimensional lattices are considered. The signal constellation consists of all lattice points within a region R, and the shape of this region determines the average signal power. Spherical signal constellations minimize average signal power, and in the limit as N →∞, the shape gain of the N-sphere over the N-cube approaches πe/6≈1.53 dB. A nonequiprobable signaling scheme is described that approaches this full asymptotic shape gain in any fixed dimension. A signal constellation, Ω is partitioned into T subconstellations Ω0 , . . ., Ωτ-1 of equal size by scaling a basic region R. Signal points in the same subconstellation are used equiprobably, and a shaping code selects the subconstellation Ωi with frequency fi. Shaping codes make it possible to achieve any desired fractional bit rate. The schemes presented are compared with equiprobable signaling schemes based on Voronoi regions of multidimensional lattices. For comparable shape gain and constellation expansion ratio, the peak to average power ratio of the schemes presented is superior. Furthermore, a simple table lookup is all that is required to address points in the constellations. It is also shown that it is possible to integrate coding and nonequiprobable signaling within a common multilevel framework
  • Keywords
    encoding; signalling (telecommunication networks); telecommunication channels; Gaussian channel; average signal power; coding; finite-dimensional lattices; full asymptotic shape gain; nonequiprobable signaling scheme; shaping code; signal constellation; subconstellation; Bit rate; Constellation diagram; Frequency; Gaussian channels; Lattices; Multidimensional systems; Peak to average power ratio; Probability distribution; Region 9; Shape;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.53734
  • Filename
    53734