• DocumentCode
    237795
  • Title

    An efficient dynamic resource allocation algorithm for downlink MIMO - OFDMA systems

  • Author

    Gangwar, Anuj ; Bharti, Manoranjan Rai

  • Author_Institution
    Dept. of Electron. & Commun. Eng., Nat. Inst. of Technol., Hamirpur, India
  • fYear
    2014
  • fDate
    8-10 May 2014
  • Firstpage
    775
  • Lastpage
    779
  • Abstract
    Multiple Input Multiple Output (MIMO) - Orthogonal Frequency Division Multiple Access (OFDMA) systems provide high spectral efficiency due to its integrated space-frequency and multi-user diversity. In this paper a Dynamic Resource Allocation (DRA) scheme has been devised for MIMO - OFDMA systems in a downlink scenario. The scheme optimizes the power distribution and guarantees desired Quality of Service (QoS) to each user. The available channel state information at the Base Station (BS) is utilized in order to help these practical schemes to improve system performance and to satisfy various QoS constraints. Computer simulation results demonstrate the proposed scheme performance with the comparison of previous allocation schemes and the proposed scheme satisfy the proportionality constraints and achieves high system capacity.
  • Keywords
    MIMO communication; OFDM modulation; frequency division multiple access; quality of service; resource allocation; OFDMA system; QoS; base station; downlink MIMO; dynamic resource allocation algorithm; integrated space-frequency and multi-user diversity; multiple input multiple output system; orthogonal frequency division multiple access system; power distribution; quality of service; MIMO; Modulation; OFDM; Quality of service; Radio spectrum management; Resource management; DRA; MIMO - OFDMA; QoS; fairness; singular value decomposition; total system capacity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Communication Control and Computing Technologies (ICACCCT), 2014 International Conference on
  • Conference_Location
    Ramanathapuram
  • Print_ISBN
    978-1-4799-3913-8
  • Type

    conf

  • DOI
    10.1109/ICACCCT.2014.7019196
  • Filename
    7019196