• DocumentCode
    694585
  • Title

    Potential transmission capability of wireless communication network

  • Author

    Xiao Yingzhe ; Xiao Baojin ; Xin Wang

  • Author_Institution
    Coll. of Inf. Eng., Taiyuan Univ. of Technol., Taiyuan, China
  • fYear
    2013
  • fDate
    12-13 Oct. 2013
  • Firstpage
    1325
  • Lastpage
    1329
  • Abstract
    It has long been accepted that Shannon capacity is the channel transmission capability limit, but this is a misunderstanding. This paper considers the actual communication system bandwidth is limited, and the band limited Gauss noise (BLGN) has correlation, which leads to the actual entropy of BLGN is smaller than its maximum entropy, so the actual channel capacity is always greater than the Shannon capacity, although the noise is AWGN. We derived the formula of BLGN correlation coefficient between adjacent timeslots, calculated the numerical solution β ≈ 0.167. The testing results indicate that man-made noise in the wireless channel has become a major noise, and its power is much greater than the natural noise power. In addition the man-made noise has a strong correlation. This makes the wireless channel capacity is clearly greater than the Shannon capacity. Therefore the current wireless channel has a large potential transmission capability.
  • Keywords
    AWGN channels; channel capacity; correlation methods; maximum entropy methods; numerical analysis; wireless channels; AWGN; BLGN correlation coefficient; Shannon channel capacity; band limited Gauss noise; channel transmission capability; large potential transmission capability; man-made noise; maximum entropy method; numerical solution; wireless channel capacity; wireless communication network; Channel capacity; Correlation; Correlation coefficient; Entropy; Noise; Wireless communication; band limited Gaussian noise; channel capacity; correlation of noise; information rate;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2013 3rd International Conference on
  • Conference_Location
    Dalian
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2013.6967345
  • Filename
    6967345