• DocumentCode
    2208149
  • Title

    Capacity analysis of generalized distributed antenna systems using approximation distributions

  • Author

    Feng, Zhihong ; Jiang, Zhanjun ; Pan, Wen ; Wang, Dongming

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Lanzhou Jiaotong Univ., Lanzhou, China
  • fYear
    2008
  • fDate
    19-21 Nov. 2008
  • Firstpage
    828
  • Lastpage
    830
  • Abstract
    Compared to the central antenna system (CAS), the distributed antenna system (DAS) improves the communication performance greatly because of the macro-diversity and the micro-diversity. However, the channel between the mobile terminal and a remote access unit (RAU) in the DAS is a composite fading channel, which makes it be difficult to achieve a closed form expression in capacity analysis. In this paper, Patnaik¿s and Pearson¿s methods are employed to achieve approximation probability distribution function (PDF) of the channel, by which the ergodic capacity of the generalized DAS (GDAS) is achieved easily. Analysis and simulations show that both the two methods can achieve satisfying results of the channel capacity, which are more accurate than that of the commonly used Jensen inequality.
  • Keywords
    antennas; channel capacity; fading channels; probability; Jensen inequality; Patnaik method; Pearson method; approximation distributions; capacity analysis; channel capacity; closed form expression; communication performance; composite fading channel; distributed antenna systems; ergodic capacity; mobile terminal; probability distribution function; remote access unit; Base stations; Content addressable storage; Fading; Information analysis; Large-scale systems; Mobile communication; Optical fiber cables; Probability distribution; Random variables; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems, 2008. ICCS 2008. 11th IEEE Singapore International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4244-2423-8
  • Electronic_ISBN
    978-1-4244-2424-5
  • Type

    conf

  • DOI
    10.1109/ICCS.2008.4737301
  • Filename
    4737301