• DocumentCode
    3080907
  • Title

    Fast Spectrum Sharing for Cognitive Radio Networks: A Joint Time-Spectrum Perspective

  • Author

    Zhou, Haibo ; Liu, Bo ; Gui, Lin ; Wang, Xinbing ; Li, Ying

  • Author_Institution
    Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2011
  • fDate
    5-9 Dec. 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Time efficiency is a basic characteristic for spectrum management and sharing in cognitive radio networks (CRN). In this paper, we introduce an incremental metric time into dynamic spectrum management and sharing problem, which could make the spectrum resource management more reasonable. On the one hand, to motivate the idle spectrum holders to share the spectrum more actively and regulate the spectrum leasing markets better , a spectrum management rule (SMR) is introduced. Accordingly, a spectrum lease rule (SLR) is proposed from the perspective of factual application requirements of unlicensed users (UUs). One the other hand, we formulate the spectrum sharing process as a two-dimensional packing problem, in which UUs utilize the spectrum resource through forming cooperative groups (CG). Finally, a distributed fast spectrum sharing algorithm (DFSS) is proposed to realize the process of CG forming promptly. Simulation demonstrates that DFSS algorithm can adapt to the cognitive radio networks effectively, and the average spectrum utilization ratio can reach about 83.42%.
  • Keywords
    cognitive radio; radio networks; telecommunication network management; CRN; DFSS; SLR; SMR; UU; cognitive radio networks; distributed fast spectrum sharing algorithm; joint time-spectrum perspective; spectrum lease rule; spectrum resource management; unlicensed users; Algorithm design and analysis; Cognitive radio; Dynamic scheduling; IEEE Communications Society; Radio spectrum management; Resource management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference (GLOBECOM 2011), 2011 IEEE
  • Conference_Location
    Houston, TX, USA
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4244-9266-4
  • Electronic_ISBN
    1930-529X
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2011.6134198
  • Filename
    6134198