• DocumentCode
    2620663
  • Title

    A multiuser detection based on quantum PSO with pareto optimality for STBC-MC-CDMA system

  • Author

    Liu, Hongwu ; Song, Gaojun

  • Author_Institution
    Sch. of Inf. Eng., Nanchang Hangkong Univ., Nanchang, China
  • fYear
    2009
  • fDate
    16-18 Oct. 2009
  • Firstpage
    652
  • Lastpage
    655
  • Abstract
    A multiuser detection based on quantum particle swarm optimization (QPSO) with Pareto optimality is proposed for the space-time block coded-multicarrier code-division multiple-access (STBC-MC-CDMA) system. Due to the spatial diversity, the signals received at the different antennas are faded independently, resulting in an independent log-likelihood function (LLF) for each antenna. To resolve the multi-objective dilemma when choosing one signal estimation for multiple receive-antenna-branches, each quantum particle updates its value in a Pareto optimal way. Simulations and comparisons with the QPSO and the maximum likelihood detection (MLD) verified the effectiveness of the proposed scheme.
  • Keywords
    Pareto optimisation; block codes; code division multiple access; diversity reception; maximum likelihood detection; multiuser detection; particle swarm optimisation; receiving antennas; space-time codes; Pareto optimality; STBC-MC-CDMA system; independent log-likelihood function; maximum likelihood detection; multiuser detection; quantum particle swarm optimization; receiving antennas; signal estimation; space-time block coded-multicarrier code-division multiple-access; spatial diversity; Estimation; Fading; Maximum likelihood detection; Multiaccess communication; Multiuser detection; Pareto analysis; Particle swarm optimization; Receiving antennas; Signal resolution; Spatial resolution; PSO; Pareto optimality; STBC-MC-CDMA; quantum;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications Technology and Applications, 2009. ICCTA '09. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-4816-6
  • Electronic_ISBN
    978-1-4244-4817-3
  • Type

    conf

  • DOI
    10.1109/ICCOMTA.2009.5349121
  • Filename
    5349121