• DocumentCode
    3535929
  • Title

    Power Allocation for the Network Coded Cognitive Cooperative Network

  • Author

    Kaiser, M. Shamim

  • Author_Institution
    Dept. of Math. & Natural Sci., BRAC Univ., Dhaka, Bangladesh
  • fYear
    2011
  • fDate
    23-25 Sept. 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Demand for higher data rate wireless applications has led to scarcity in radio frequency spectrum. This article focuses the power allocation for the network coded cognitive cooperative network (NCCCN). Analog network coded (ANC) Orthogonal-Frequency-Division-Multiplexing (OFDM) improves the capacity of the cognitive cooperative network (CCN). Moreover, CCN enhances the spectrum utilization efficiency. A power allocation optimization problem have been formed that maximizes the data transmission rate of the NCCCN under the total transmit and peak-interference powers or the total transmit and average-interference powers. The spectral efficiency of the proposed network is compared with the spectral efficiency of CCN without ANC. Simulation results show that the proposed NCCCN enhances spectral efficiency in compared to the CCN without ANC.
  • Keywords
    OFDM modulation; cognitive radio; cooperative communication; interference suppression; network coding; optimisation; radiofrequency interference; ANC OFDM; NCCCN; analog network coded orthogonal-frequency-division-multiplexing; average-interference power; data transmission rate; higher data rate wireless application; network coded cognitive cooperative network; peak-interference power; power allocation optimization problem; radio frequency spectrum; spectral efficiency; spectrum utilization efficiency; Interference; Network coding; OFDM; Optimized production technology; Resource management; Wireless communication; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing (WiCOM), 2011 7th International Conference on
  • Conference_Location
    Wuhan
  • ISSN
    2161-9646
  • Print_ISBN
    978-1-4244-6250-6
  • Type

    conf

  • DOI
    10.1109/wicom.2011.6036638
  • Filename
    6036638