• DocumentCode
    2952710
  • Title

    An Analysis of Link Adaptation Algorithm based On Link Quality Metrics for IEEE 802.16 Systems

  • Author

    Sandanalakshmi, R. ; Manivannan, K. ; Palanivelu, T.G.

  • Author_Institution
    Pondicherry Eng. Coll., Pondicherry
  • fYear
    2008
  • fDate
    8-10 Dec. 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The combination of multiple antennas and multicarrier code division multiple access (MC-CDMA) is a strong candidate for the downlink of future mobile communications. The study of such systems, in scenarios that model real-life transmissions is an additional step towards an optimised achievement. Channel estimation is employed to improve its performance by characterising the channel. In this paper turbo aided iterative channel estimation (ICE) technique is proposed for orthogonal space-time block coded (STBC) MC-CDMA systems with multiple-input multiple-output (MIMO) channel in the downlink. Simulations with a realistic outdoor MIMO channel model, over a wide range of data rates shows that turbo aided ICE outperforms ICE.
  • Keywords
    MIMO communication; WiMax; antenna arrays; block codes; channel estimation; code division multiple access; iterative methods; mobile radio; orthogonal codes; space-time codes; IEEE 802.16 systems; MC-CDMA; MIMO channel; channel estimation; future mobile communications; iterative channel estimation technique; link adaptation algorithm analysis; link quality metrics; multicarrier code division multiple access; multiple antennas; multiple-input multiple-output channel; orthogonal space-time block code; Algorithm design and analysis; Channel estimation; Downlink; Equations; Feedback; Frequency diversity; Ice; MIMO; Multicarrier code division multiple access; OFDM modulation; MAC; acs; cqi; eesm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial and Information Systems, 2008. ICIIS 2008. IEEE Region 10 and the Third international Conference on
  • Conference_Location
    Kharagpur
  • Print_ISBN
    978-1-4244-2806-9
  • Electronic_ISBN
    978-1-4244-2806-9
  • Type

    conf

  • DOI
    10.1109/ICIINFS.2008.4798418
  • Filename
    4798418