• DocumentCode
    613608
  • Title

    MIMO-interference aware scheduling enabling the allocation of unbounded co-channels in unplanned networks

  • Author

    Nagothu, Kranthi Manoj ; Kelley, Brian ; Jamshidi, M.

  • Author_Institution
    Electr. & Comput. Eng, Univ. of Texas at San Antonio, San Antonio, TX, USA
  • fYear
    2013
  • fDate
    15-18 April 2013
  • Firstpage
    96
  • Lastpage
    101
  • Abstract
    We present novel opportunistic interference aware scheduling (IAS) for dynamic channel allocation reuse to dynamically allocate new channels in unplanned networks. We introduce high levels of co-channel interferers with coordinated spatial signatures. We view this as likely system scenario for cognitive radio (CR) networks based upon IEEE 802.22 and moreover support smart grid, information networks. The proposed algorithm cooperatively allocates MIMO-channels to users based on spatial separability criterion that we introduce. We derive the MIMO beamforming coefficients that optimally reduce spatial interference. Finally, simulation results indicating sizeable increases in the multiuser capacity are possible to support smart grid information networks.
  • Keywords
    MIMO communication; channel allocation; cochannel interference; cognitive radio; scheduling; CR network; IAS; IEEE 802.22; MIMO beamforming coefficient; MIMO-channel allocation; MIMO-interference aware scheduling; cochannel interferer; cognitive radio network; coordinated spatial signature; dynamic channel allocation reusing; multiuser capacity; opportunistic interference aware scheduling; smart grid information network; spatial interference reduction; spatial separability criterion; unbounded cochannel allocation; unplanned network; Dynamic scheduling; Interference; MIMO; OFDM; Protocols; Signal to noise ratio; Smart grids; IEEE 802.22; cognitive radio; interference-scheduling; unplanned networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems Conference (SysCon), 2013 IEEE International
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    978-1-4673-3107-4
  • Type

    conf

  • DOI
    10.1109/SysCon.2013.6549865
  • Filename
    6549865