• DocumentCode
    1775105
  • Title

    Energy efficiency analysis for cognitive radio network with data collision

  • Author

    Lei Wang ; Haitao Xue ; Guoping Jiang ; Baoyu Zheng ; Jingwu Cui

  • Author_Institution
    Key Lab. of Broadband Wireless Comm. & Sensor Network Technol., Nanjing Univ. of Posts & Telecommun., Nanjing, China
  • fYear
    2014
  • fDate
    23-25 Oct. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In the practical application of cognitive radio network, it is especially important to improve the energy efficiency for those energy-constrained cognitive users. From the perspective of maximizing the energy efficiency in cognitive radio networks, this paper considers the case that the sudden appearance of the primary user can lead to data collision when the cognitive user is transmitting data. Then the optimization mathematical model of energy efficiency is given by using frame period and sensing time. The optimization problem is analyzed theoretically and verified by computer simulations. The theoretical analysis and computer simulation results show that the energy efficiency firstly increases and then decreases with the increase of the sensing time as well as the frame period, and there is an optimal combination of optimal sensing time and frame period to maximize the energy efficiency.
  • Keywords
    cognitive radio; mathematical analysis; optimisation; cognitive radio network; cognitive users; computer simulations; data collision; data transmission; energy efficiency analysis; optimal combination; optimal sensing time; optimization mathematical model; primary user; Cognitive radio; Energy consumption; Optimization; Sensors; Signal to noise ratio; Throughput; Cognitive radio network; Collision; Cooperative spectrum sensing; Energy efficiency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Signal Processing (WCSP), 2014 Sixth International Conference on
  • Conference_Location
    Hefei
  • Type

    conf

  • DOI
    10.1109/WCSP.2014.6992212
  • Filename
    6992212