• DocumentCode
    650864
  • Title

    Robust base-station cooperation scheme with intelligent information processing

  • Author

    Ling Qin ; Yonghua Li ; Zhisong Bie ; Yueming Lu

  • Author_Institution
    Key Lab. of Universal Wireless Commun., Minist. of Educ., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2013
  • fDate
    24-26 Oct. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, a robust cooperation scheme is proposed with Dempster-Shafer (D-S) evidence theory to solve the problem of joint detection in the cellular cooperation networks. Since base-stations in wireless systems are connected by a backbone network, the exchange of information through the backbone network is considered between the base-stations to help each other in signal detection process. A novel signal combination and decision scheme is proposed for base-station cooperation. Taking advantage of multiple information sources, more reliable decision statistics can be achieved with multiple evidences. Distributed multiuser detection algorithm is proposed with local information exchanging among neighbor base stations, and compared in terms of error rate performance. Simulation results verify that the proposed method outperforms conventional detection algorithm. At different interference level, the proposed algorithm almost has same performance, which is more robust than existed algorithms.
  • Keywords
    cellular radio; cooperative communication; inference mechanisms; multiuser detection; telecommunication computing; uncertainty handling; Dempster-Shafer evidence theory; backbone network; cellular cooperation network; decision scheme; distributed multiuser detection algorithm; intelligent information processing; joint detection; multiple evidence; robust base station cooperation; signal combination; signal detection process; Base-Station Cooperation; Dempster-Shafer theory; Intelligent Combining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications & Signal Processing (WCSP), 2013 International Conference on
  • Conference_Location
    Hangzhou
  • Type

    conf

  • DOI
    10.1109/WCSP.2013.6677114
  • Filename
    6677114