• DocumentCode
    3487699
  • Title

    Adaptive Resource Allocation with Adaptive Beamforming for MIMO-OFDMA System with a Priority User

  • Author

    Chen, Guili ; Qi, Lin ; Lu, Yanhui ; Mu, Xiaomin

  • Author_Institution
    Coll. of Inf. Eng., Zhengzhou Univ., Zhengzhou
  • fYear
    2007
  • fDate
    21-25 Sept. 2007
  • Firstpage
    326
  • Lastpage
    329
  • Abstract
    In this paper, we propose a new resource allocation scheme for MIMO-OFDMA systems with a priority user. With the goal of minimizing the total transmission power and exploiting spatial diversity and multiuser diversity efficiently, the proposed algorithm firstly allocates the subcarrier to the priority user, and it selects the N relatively largest eigenvalues of all subcarriers and allocates the best subcarrier to the priority user adaptively until its data rate is fulfilled. Then the remaining subcarriers are dynamically allocated to the other users without considering their QoS requirements. Finally, the proposed algorithm reallocates some subcarriers from the satisfied users to the unsatisfied users to guarantee all users´ QoS requirements and the additional power because of the subcarriers reallocation is also minimized. Simulation results confirm the effectiveness of the proposed algorithm.
  • Keywords
    MIMO communication; OFDM modulation; array signal processing; diversity reception; eigenvalues and eigenfunctions; quality of service; resource allocation; MIMO-OFDMA system; QoS requirements; adaptive beamforming; adaptive resource allocation; eigenvalues; multiuser diversity; priority user; quality of service; spatial diversity; subcarriers reallocation; total transmission power; Adaptive arrays; Antenna arrays; Array signal processing; Educational institutions; Eigenvalues and eigenfunctions; Electrical capacitance tomography; MIMO; OFDM; Power engineering and energy; Resource management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1311-9
  • Type

    conf

  • DOI
    10.1109/WICOM.2007.88
  • Filename
    4339863