• DocumentCode
    2622320
  • Title

    Intelligent resource optimisation using semi-smart antennas in LTE OFDMA systems

  • Author

    Wang, Yapeng ; Yang, Xu ; Ma, Athen ; Cuthbert, Laurie

  • Author_Institution
    MPI-QMUL Inf. Syst. Res. Centre, Macao Polytech. Inst., Macau, China
  • fYear
    2009
  • fDate
    16-18 Oct. 2009
  • Firstpage
    173
  • Lastpage
    179
  • Abstract
    The next generation 3GPP long-term evolution (LTE) mobile system will use orthogonal frequency division multiplexing access (OFDMA) as the key technology to improve the spectrum efficiency and flexible user resource allocation. One of the challenges of OFDMA systems is the interference at the cell edge where users are likely to get high interference from neighbouring cells. In a network with non-uniform traffic distribution, the problem becomes even more challenging. In this paper, a semi-smart antenna based resource allocation scheme is proposed for the LTE OFDMA system. The scheme features a centralised genetic algorithm (GA) algorithm that changes the cellular coverage in a coordinated manner to improve the system capacity and mitigate network interference. Simulation experiments have been carried out to evaluate the performance of the proposed scheme, the results showing significant performance improvement in terms of total traffic load achieved for all cells compared to a system with fixed coverage pattern.
  • Keywords
    3G mobile communication; OFDM modulation; adaptive antenna arrays; cellular radio; frequency division multiple access; genetic algorithms; interference suppression; resource allocation; telecommunication traffic; GA algorithm; LTE OFDMA system; cellular coverage; flexible user resource allocation; genetic algorithm; intelligent resource optimisation; mobile system; neighbouring cell interference; network interference mitigation; next generation 3GPP long-term evolution; nonuniform traffic distribution; orthogonal frequency division multiplexing access; semismart antennas; spectrum efficiency; Computer science; Downlink; Genetic algorithms; Information systems; Interference; Load management; Mobile antennas; Mobile computing; Resource management; Telecommunication traffic; 3GPP long-term evolution (LTE); Genetic Algorithm (GA); OFDMA; semi-smart antenna; spectral efficiency;
  • 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.2009.5349214
  • Filename
    5349214