• DocumentCode
    577228
  • Title

    Adaptive multiuser MIMO-OFDM QoS-based scheduler using virtual channel state information

  • Author

    Hassan, Khaled ; Filip, Alexandra ; Henkel, Werner

  • fYear
    2012
  • fDate
    15-17 Aug. 2012
  • Firstpage
    109
  • Lastpage
    113
  • Abstract
    We propose an adaptive multiuser QoS-based scheduler based on the users´ channel measurements. In order to mitigate the complexity that results from computing non-codebook based beamformers for possibly infeasible users, we propose to preselect the optimal users using a virtual signal-to-noise ratio (vSNR). This is computed assuming non-interfering users and a total power constraint. Solely depending on vSNR, we obtain thresholds that fulfill the equivalent SINR constraints for a different number of users. In this paper, vSNR thresholds are utilized to develop a fast adaptive multiuser scheduling routine. Finally, a performance comparison to the unscheduled case will be demonstrated in the presence of channel state information uncertainty as well as with perfect channel information.
  • Keywords
    MIMO communication; OFDM modulation; array signal processing; quality of service; scheduling; wireless channels; adaptive multiuser MIMO-OFDM QoS-based scheduler; equivalent SINR constraints; infeasible users; noncodebook based beamformers; noninterfering users; optimal users; total power constraint; user channel measurements; vSNR; virtual channel state information; virtual signal-to-noise ratio; Eigenvalues and eigenfunctions; Interference; Multiaccess communication; OFDM; Quality of service; Signal to noise ratio; MU-MIMO; Non-orthogonal SDMA; OFDM; QoS; SINR; SINR/Rate Outage probability; SNR;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications in China (ICCC), 2012 1st IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-2814-2
  • Electronic_ISBN
    978-1-4673-2813-5
  • Type

    conf

  • DOI
    10.1109/ICCChina.2012.6356862
  • Filename
    6356862