• DocumentCode
    3613084
  • Title

    Double-space-cooperation method for increasing channel capacity

  • Author

    Jiao Bingli ; Li Dou

  • Author_Institution
    Peking Univ., Beijing, China
  • Volume
    12
  • Issue
    12
  • fYear
    2015
  • fDate
    12/1/2015 12:00:00 AM
  • Firstpage
    76
  • Lastpage
    83
  • Abstract
    Shannon channel capacity theorem poses highest bit-rate of error free transmission over additive white Gaussian noise channel. In addition, he proved that there exists channel code that can theoretically achieve the channel capacity. Indeed fortunately, the latter researchers found some practical channel codes approaching the channel capacity with insignificant losses of spectral efficiency under ignorable bit error rate (BER). The authors note, in general, that bits of the channel codes are not independent of each other in code space. Further, we note that the modulated symbols are not independent among them, as well, in Euclidean Space. By exploiting a usage of the dependencies jointly to signal design, we can transmit two independent signal streams through an additive white Gaussian channel and separate them in Euclidean space at the receiver. The capacity of this approach is found larger than that of Shannon capacity in the same channel assumptions. The numerical results confirm the theoretical procedures.
  • Keywords
    AWGN channels; channel capacity; channel coding; cooperative communication; error statistics; BER; Euclidean space; Shannon channel capacity theorem; additive white Gaussian noise channel; bit error rate; channel code; code space; double-space-cooperation method; error free transmission; modulated symbols; signal design; Binary phase shift keying; Bit error rate; Channel capacity; Channel coding; Parity check codes; Receivers; Euclidean space; channel capacity; channel coding;
  • fLanguage
    English
  • Journal_Title
    Communications, China
  • Publisher
    ieee
  • ISSN
    1673-5447
  • Type

    jour

  • DOI
    10.1109/CC.2015.7385530
  • Filename
    7385530