• DocumentCode
    645546
  • Title

    Scheduling scheme for cognitive radio networks with imperfect channel Knowledge

  • Author

    Massaoudi, Ayman ; Sellami, Noura ; Siala, Mohamed

  • Author_Institution
    Sup´Com, Cité Technologique des Communications, 2083 El Ghazala Ariana, Tunisia
  • fYear
    2013
  • fDate
    8-11 Sept. 2013
  • Firstpage
    3145
  • Lastpage
    3149
  • Abstract
    Cognitive radio is a promising technique for efficient spectrum utilization in wireless systems. In this paper, we consider an underlay cognitive radio system where a large number of secondary users (SUs) can share the spectrum with a primary user (PU). We assume that M antennas are used at the cognitive base station (CBS) and the CBS does not have the full channel state information (CSI) from secondary users. We propose to study the problem of secondary users scheduling under the assumption of imperfect CSI of the interference channel between the CBS and the primary receiver. In order to minimize the interference to the PU, we propose to generate orthogonal beams to the estimate of the channel between the CBS and the PU. Then, to reduce the amount of required feedback, we propose a scheduling algorithm based on opportunistic beamforming. To further reduce the amount of feedback, a threshold is applied to the signal to interference and noise ratio (SINR) feedback. For the proposed scheme, we develop a statistical analysis for the interference caused to the PU as well as the throughput of the secondary system.
  • Keywords
    Array signal processing; Channel estimation; Cognitive radio; Interference; Signal to noise ratio; Throughput; Transmitting antennas; Cognitive radio; Gram-Schmidt orthogonalization; imperfect channel state information; opportunistic beamforming; secondary users scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Personal Indoor and Mobile Radio Communications (PIMRC), 2013 IEEE 24th International Symposium on
  • Conference_Location
    London, United Kingdom
  • ISSN
    2166-9570
  • Type

    conf

  • DOI
    10.1109/PIMRC.2013.6666687
  • Filename
    6666687