• DocumentCode
    2061002
  • Title

    Overcoming Self- Interference in SM-OFDMA with ESINR and Dynamic Subcarrier Allocation

  • Author

    Nordin, R. ; Armour, S. ; McGeehan, J.P.

  • Author_Institution
    Centre for Commun. Res., Univ. of Bristol, Bristol
  • fYear
    2009
  • fDate
    26-29 April 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    For a single user with multiple receive antennas, co-antenna interference can be the dominant source of impairment in a Spatial Multiplex Orthogonal Frequency Division Multiple Access (SM-OFDMA) system, particularly when correlation exists between spatial sub-channels. By exploiting knowledge of the channel response and combining it with Dynamic Sub- Carrier Allocation (DSA), the algorithm proposed in this paper aims to reduce the effect of interference, while providing fair gain and maximizing the SINR across all users. Simulation results reveal that the proposed algorithm considers self-interference that exists between multiple antennas and is capable of achieving a capacity gain for every user with improved BER performance compared to previous work.
  • Keywords
    OFDM modulation; antenna arrays; channel allocation; error statistics; frequency division multiple access; interference suppression; wireless channels; BER performance; ESINR; SM-OFDMA; co-antenna interference; dynamic subcarrier allocation; multiple receive antennas; self-interference reduction; spatial multiplex orthogonal frequency division multiple access; spatial subchannel; Base stations; Frequency conversion; Interference; MIMO; Performance gain; Physical layer; Receiving antennas; Samarium; Signal to noise ratio; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference, 2009. VTC Spring 2009. IEEE 69th
  • Conference_Location
    Barcelona
  • ISSN
    1550-2252
  • Print_ISBN
    978-1-4244-2517-4
  • Electronic_ISBN
    1550-2252
  • Type

    conf

  • DOI
    10.1109/VETECS.2009.5073763
  • Filename
    5073763