• DocumentCode
    2632988
  • Title

    Uplink Spatial Division Multiple Access (SDMA) Optimization of Smart Antennas by Phase-Amplitude Perturbations Based on Memetic Algorithms

  • Author

    Hsu, Chao-Hsing ; Chen, Chih-Hui ; Wu, Chi-Fei ; Shyr, Wen-Jye

  • Author_Institution
    Dept. of Electron. Eng., Chienkuo Technol. Univ., Changhua
  • fYear
    2008
  • fDate
    18-20 June 2008
  • Firstpage
    89
  • Lastpage
    89
  • Abstract
    A novel method based on the memetic algorithm for uplink spatial division multiple access (SDMA) optimization technique of smart antennas via the phase-amplitude perturbation method is proposed. The array factor formula is deduced to search the optimal weighting vector of the array factor of a smart antenna. In a smart antenna system, one user s signal must be considered as other users´ interfering signal. An optimal radiation pattern of a smart antenna can not only adjustably suppress interferers by placing nulls at the directions of the interfering sources but also provide a maximum main lobe in the direction of the desired signals at the same time so that SDMA can be come true. In order to achieve this goal, a new convergent method referred as the two-way convergent method for memetic algorithms is proposed.
  • Keywords
    adaptive antenna arrays; antenna radiation patterns; optimisation; space division multiple access; SDMA; array factor formula; memetic algorithms; optimal radiation pattern; optimization technique; phase-amplitude perturbation method; smart antennas; two-way convergent method; uplink spatial division multiple access; Adaptive arrays; Antenna arrays; Chaotic communication; Educational technology; Linear antenna arrays; Multiaccess communication; Optimization methods; Perturbation methods; Phased arrays; Sensor arrays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
  • Conference_Location
    Dalian, Liaoning
  • Print_ISBN
    978-0-7695-3161-8
  • Electronic_ISBN
    978-0-7695-3161-8
  • Type

    conf

  • DOI
    10.1109/ICICIC.2008.587
  • Filename
    4603278