• DocumentCode
    1925381
  • Title

    Energy-Efficient Spectrum Leasing in Cognitive Relay Networks

  • Author

    Jin, Qingqing ; Zhang, Haixia ; Yuan, Dongfeng ; Xu, Jiali ; Wang, Cheng-Xiang

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan, China
  • fYear
    2011
  • fDate
    18-20 April 2011
  • Firstpage
    337
  • Lastpage
    340
  • Abstract
    In this paper, we propose an energy-efficient resource allocation algorithm to minimize the total average transmission power of secondary users (SUs) in cognitive relay networks. Each SU in cognitive relay networks can choose direct transmission or cooperative transmission with the help of relay nodes (RNs). The primary users (PUs) may lease the licensed spectrum for a fraction of time to SUs for some remuneration. So the SUs adopt time-division multiple-access (TDMA) to access the licensed spectrum. For energy efficiency, we jointly consider the time slot scheduling and transmission strategy selection (i.e. direct transmission or cooperative transmission) problem. Numerical results indicate that the transmission power consumption indeed decreases due to the cooperative diversity.
  • Keywords
    cognitive radio; cooperative communication; diversity reception; energy conservation; radio spectrum management; relays; time division multiple access; cognitive relay network; cooperative diversity; cooperative transmission; energy efficient resource allocation algorithm; energy efficient spectrum; licensed spectrum; relay nodes; time division multiple access; time slot scheduling; total average transmission power consumption; transmission strategy selection; Ad hoc networks; Receivers; Relays; Resource management; Sensors; Wireless communication; Wireless sensor networks; energy-efficiency; relay selection; spectrum leasing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Mobile Computing (CMC), 2011 Third International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-61284-312-4
  • Type

    conf

  • DOI
    10.1109/CMC.2011.123
  • Filename
    5931240