• DocumentCode
    2567338
  • Title

    Adaptive Resource Allocation with Multiuser Interference Cancellation for MIMO OFDM Systems

  • Author

    Gunaseelan, K. ; Reba, P. ; Kandaswamy, A.

  • Author_Institution
    Dept. of ECE, PSG Coll. of Technol., Coimbatore, India
  • fYear
    2009
  • fDate
    15-17 May 2009
  • Firstpage
    239
  • Lastpage
    243
  • Abstract
    The challenging issue in multiuser MIMO-OFDM system is to cancel multi-access interference (MAI) when different users share the same subcarrier. Also, the presence of MAI makes the resource allocation problem very complicated. Hence it is essential to find the optimal transmit and receive weight vectors, to reduce MAI and to adaptively assign resources to meet the QoS requirements. In this paper, Block Diagonalization (BD) with Waterfilling power allocation is considered. This BD with Waterfilling power allocation algorithm increases the system capacity with zero MAI. In order to increase the system capacity further, BD with power and subcarrier allocation is proposed and analyzed their performance. The simulation results show that there is significant improvement in system capacity also guaranteeing zero MAI.
  • Keywords
    MIMO communication; OFDM modulation; interference suppression; quality of service; radiofrequency interference; resource allocation; MIMO OFDM systems; QoS requirements; Waterfilling power allocation; adaptive resource allocation; block diagonalization; multiuser interference cancellation; power allocation; subcarrier allocation; system capacity; weight vectors; Adaptive signal processing; Adaptive systems; Interference cancellation; Intersymbol interference; MIMO; Multiple access interference; OFDM modulation; Receiving antennas; Resource management; Transmitting antennas; Adaptive System; MIMO systems; OFDM; Waterfilling; multiuser channel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    2009 International Conference on Signal Processing Systems
  • Conference_Location
    Singapore
  • Print_ISBN
    978-0-7695-3654-5
  • Type

    conf

  • DOI
    10.1109/ICSPS.2009.21
  • Filename
    5166783