• DocumentCode
    2962292
  • Title

    Opportunistic spectrum access in cognitive radio networks

  • Author

    Li, Cuiran ; Li, Chengshu

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Lanzhou Jiaotong Univ., Lanzhou
  • fYear
    2008
  • fDate
    1-8 June 2008
  • Firstpage
    3412
  • Lastpage
    3415
  • Abstract
    Radio spectrum is one of the most scarce and valuable resources for wireless communications. Cognitive radio has been considered as an efficient means to opportunistic spectrum sharing between primary (licensed) users and cognitive radio users. In this paper, based on the two-phase channel and power allocation scheme proposed by A. T. Hoang etc., we present an opportunistic spectrum access approach for cognitive radio network. In the scheme proposed by A. T. Hoang etc., they consider a cognitive radio network that consists of multiple cells and the system throughput is defined as the total number of subscribers that can be simultaneously served. In this paper, we consider a cognitive radio network as self-organizing network. Furthermore, the throughput is defined as the average probability of success transmission. In our proposed approach, for each available channel, TDMA frame consists of N time slots, and each active cognitive user is assigned one transmission slot different from those of other active cognitive users in each frame. It allows an active cognitive user utilize the slots pre-assigned to the other active cognitive users under a range of values for accessing opportunity. We evaluate the performances of the opportunistic spectrum access approach in view of system throughput and energy efficiency.
  • Keywords
    cognitive radio; radio spectrum management; time division multiple access; TDMA; cognitive radio networks; opportunistic spectrum access; power allocation scheme; radio spectrum; self-organizing network; two-phase channel; Cognitive radio; Neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1098-7576
  • Print_ISBN
    978-1-4244-1820-6
  • Electronic_ISBN
    1098-7576
  • Type

    conf

  • DOI
    10.1109/IJCNN.2008.4634283
  • Filename
    4634283