• DocumentCode
    660049
  • Title

    Optimal Energy-Efficient Relay Selection and Power Allocation for Cognitive Two-Way Relay Network Using Physical-Layer Network Coding

  • Author

    Jia Liu ; Guixia Kang ; Ying Zhu ; Yingjiao Zhao ; Junling Mao

  • Author_Institution
    Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2013
  • fDate
    2-5 Sept. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper addresses relay selection(RS) and power allocation(PA) issues for a physical-layer network coding (PNC) relay based secondary user (SU) communication in cognitive radio networks, in which two secondary transceiver nodes exchange their information with the assistance of a relay under interference power threshold (IPT) constraints. We propose an optimal energy-efficient RS and PA (OE-RS-PA) scheme to minimize total energy consumption per bit with the sum rate constraint and IPT constraints. A closed-form solution for optimal allocation of transmit power among the SU nodes and relay node are then derived analytically and confirmed by numerical results. Furthermore, numerical simulations and comparisons are presented to illustrate the performance of the proposed scheme.
  • Keywords
    approximation theory; cognitive radio; network coding; optimisation; radio transceivers; relay networks (telecommunication); telecommunication power management; IPT constraints; OE-RS-PA scheme; PNC relay based secondary user communication; cognitive radio networks; interference power threshold constraints; optimal energy-efficient RS and PA scheme; physical-layer network coding relay based SU communication; power allocation issues; relay selection issues; secondary transceiver nodes; sum rate constraint; transmit power; Cognitive radio; Optimized production technology; Relays; Resource management; Transceivers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Fall), 2013 IEEE 78th
  • Conference_Location
    Las Vegas, NV
  • ISSN
    1090-3038
  • Type

    conf

  • DOI
    10.1109/VTCFall.2013.6692329
  • Filename
    6692329