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Distributed Opportunistic Wireless Channel Access in Decode-and-Forward Relay Networks

  • Author / Creator
    Zhou, Shuai
  • The main goal of this thesis is to develop an opportunistic scheduling strategy in distributed networks with decode-and-forward (DF) relays without direct link. Two cases are considered: 1) the winner source has full CSI (CSI of source-relay link and relay-destination link), 2) the winner source has partial CSI (CSI of source-relay link only). For the first case, a pure threshold scheduling strategy is proposed. Specifically, only when the minimum of the detected signal-to-noise ratio (SNR) of the source-relay link and relay-destination link exceeds a certain threshold, it is optimal for the source to transmit data. For the second case, the scheduling strategy is also threshold-based. In specific, when the detected SNR of the source-relay link exceeds a certain threshold, it is optimal for the winner source to transmit data. After the relay receives the data, the optimal strategy is probing the second hop until the second-hop channel condition is good.

  • Subjects / Keywords
  • Graduation date
    2015-11
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/R30C4SW86
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Master's
  • Department
    • Department of Electrical and Computer Engineering
  • Specialization
    • Communications
  • Supervisor / co-supervisor and their department(s)
    • Jiang, Hai Department of Electrical and Computer Engineering
  • Examining committee members and their departments
    • Zhao, Vicky Department of Electrical and Computer Engineering
    • Khabbazian, Majid Department of Electrical and Computer Engineering