• DocumentCode
    144709
  • Title

    A low-complexity algorithm for constrained optimal relay node placement in wireless cooperative networks

  • Author

    Yuanyuan Gao ; Shijie Wang ; Baofeng Yang ; Guozhen Zang ; Fan Yang

  • Author_Institution
    Coll. of Commun. & Eng, UST, Nanjing, China
  • Volume
    2
  • fYear
    2014
  • fDate
    26-28 April 2014
  • Firstpage
    1058
  • Lastpage
    1061
  • Abstract
    Cooperative communication (CC) technology has emerged as a hot issue in wireless communication nowadays. Cooperative diversity has showed the significant effects on enhancing the system capacity, mitigating the bit error rate caused by the Rayleigh fading channel and improving the quality of the communication system. Based on the previous researches on problem of the relay node placement (RNP), this paper puts forward a CC-RNP algorithm of low complexity on the RNP problem. We also formulate the optimizing problems and utilizing the Genetic Algorithm to achieve the maximum capacity between two nodes in a constrained area. Numerical result demonstrates that the proposed low-complexity algorithm can perform as well as the scheme proposed in the previous work.
  • Keywords
    Rayleigh channels; channel capacity; cooperative communication; diversity reception; error statistics; genetic algorithms; radio networks; relay networks (telecommunication); Rayleigh fading channel; bit error rate; communication system quality; cooperative communication; cooperative diversity; genetic algorithm; low-complexity algorithm; relay node placement; system capacity; wireless communication; wireless cooperative networks; Algorithm design and analysis; Complexity theory; Cooperative communication; Fading; Genetic algorithms; Relays; CC-RNP; Genetic Algorithm; cooperative communication; increment-based algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
  • Conference_Location
    Sapporo
  • Print_ISBN
    978-1-4799-3196-5
  • Type

    conf

  • DOI
    10.1109/InfoSEEE.2014.6947831
  • Filename
    6947831