• DocumentCode
    1993619
  • Title

    A priority-aware channel selection scheme for real-time data transmission in cognitive radio networks

  • Author

    Motamedi, N. ; Kumar, Sudhakar ; Fei Hu ; Rowe, N.

  • Author_Institution
    Electr. & Comput. Eng., San Diego State Univ., San Diego, CA, USA
  • fYear
    2013
  • fDate
    28-31 Jan. 2013
  • Firstpage
    734
  • Lastpage
    739
  • Abstract
    In cognitive radio networks, spectrum sensing and channel assignment are very important. Each user senses the channels and sends the results to a cluster head (CH) to make a decision about the channels by combining the results from different users. Moreover, the CH can assign the channels to the secondary users based on their requirements and priorities. In this paper, we assign the best channel(s) with the higher channel holding time to the user with highest priority. We consider two types of priorities - user priority and priority of sub-streams for each user. This policy gives more continuous channel usage to higher priority users. The results show that our scheme has higher weighted goodput than priority unaware scheme in the real-time and non-real time scenarios.
  • Keywords
    channel allocation; cognitive radio; pattern clustering; real-time systems; CH; channel assignment; channel holding time; cluster head; cognitive radio networks; nonreal time scenarios; priority-aware channel selection scheme; realtime data transmission; secondary users; spectrum sensing; substreams priority; user priority; Channel allocation; Cognitive radio; Data communication; Decision support systems; Real-time systems; Sensors; Signal to noise ratio; Channel Assignment; Channel Selection; Cognitive radio networks (CRN); Cooperative Spectrum Sensing; Handoffs; Real-time data transmission; Weighted Goodput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Networking and Communications (ICNC), 2013 International Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4673-5287-1
  • Electronic_ISBN
    978-1-4673-5286-4
  • Type

    conf

  • DOI
    10.1109/ICCNC.2013.6504179
  • Filename
    6504179