• DocumentCode
    3159684
  • Title

    Adaptive Subcarrier, Bit and Power Allocation for MIMO-OFDMA Systems

  • Author

    Zhao, Yi ; Zeng, Lingkang ; Xie, Gang ; Liu, Yuanan ; Xiong, Fang

  • Author_Institution
    Beijing Univ. of Posts & Telecommun. Beijing, Beijing
  • fYear
    2007
  • fDate
    22-24 Aug. 2007
  • Firstpage
    1152
  • Lastpage
    1156
  • Abstract
    This paper investigates the subcarrier and power allocation for multiple-input multiple-output (MIMO)-orthogonal frequency division multiple access (OFDMA) systems in order to optimize the system-level performance subject to the constraints of the total power on each subcarrier and rate requirement of each user. With attempt to solve the subcarrier allocation and bit loading nonlinear programming problem, two novel adaptive subcarrier, bit and power allocation schemes are proposed to determine subcarriers for each user and then assign the bits and power for each subcarrier. The first one has higher complex, but achieves a much better performance than the second one. Simulation results show that both the proposed schemes exhibit perfect system performance compared with static resource allocation method, especially under high signal to noise ratio (SNR) condition.
  • Keywords
    MIMO communication; frequency division multiple access; MIMO-OFDMA systems; adaptive subcarrier; bit allocation; bit loading nonlinear programming; multiple-input multiple-output communication; orthogonal frequency division multiple access; power allocation; signal-to-noise ratio; static resource allocation; subcarrier allocation; Constraint optimization; Downlink; Frequency conversion; MIMO; Quality of service; Resource management; Signal to noise ratio; Space technology; System performance; Transmitting antennas; MIMO; OFDMA; adaptive resource allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Networking in China, 2007. CHINACOM '07. Second International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1009-5
  • Electronic_ISBN
    978-1-4244-1009-5
  • Type

    conf

  • DOI
    10.1109/CHINACOM.2007.4469590
  • Filename
    4469590