• DocumentCode
    615900
  • Title

    Energy-efficient power allocation for cooperative relaying Cognitive Radio networks

  • Author

    Mengyao Ge ; Shaowei Wang

  • Author_Institution
    Sch. of Electron. Sci. & Eng., Nanjing Univ., Nanjing, China
  • fYear
    2013
  • fDate
    7-10 April 2013
  • Firstpage
    691
  • Lastpage
    696
  • Abstract
    In this paper, we study the power allocation in Orthogonal Frequency Division Multiplexing (OFDM)-based Cognitive Radio (CR) networks with cooperative relay. Since the energy consumption is growing at a staggering rate, green radio, which puts emphasis on the energy-efficiency (EE) in wireless networks, is becoming increasingly important. Therefore, we try to maximize the EE of a relaying CR system, under the consideration of many practical limitations, such as transmission power budget, interference threshold of the primary users and the traffic demand. We first convert the formulated problem into a convex optimization one via its hypogragh form, which can be solved by the barrier method. By exploiting the special structure of the formulated convex optimization problem, we further speed up the computation of Newton step during the barrier method, significantly reducing the complexity of the algorithm. Numerical results validate that our proposal can exploit the overall EE of the CR system, while the algorithm converges efficiently and stably.
  • Keywords
    Newton method; OFDM modulation; cognitive radio; computational complexity; convex programming; cooperative communication; environmental factors; graph theory; radio networks; radiofrequency interference; relay networks (telecommunication); telecommunication traffic; CR networks; Newton step; OFDM-based cognitive radio networks; barrier method; complexity reduction; convex optimization problem; cooperative relaying cognitive radio networks; energy consumption; energy-efficiency maximization; energy-efficient power allocation; green radio; hypograph form; interference threshold; orthogonal frequency division multiplexing; primary users; traffic demand; transmission power budget; wireless networks; Approximation methods; Complexity theory; Interference; Optimization; Relays; Resource management; Tin;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference (WCNC), 2013 IEEE
  • Conference_Location
    Shanghai
  • ISSN
    1525-3511
  • Print_ISBN
    978-1-4673-5938-2
  • Electronic_ISBN
    1525-3511
  • Type

    conf

  • DOI
    10.1109/WCNC.2013.6554647
  • Filename
    6554647