• DocumentCode
    1844923
  • Title

    Near optimal power allocation algorithm for OFDM-based cognitive using adaptive relaying strategy

  • Author

    Soury, Hamza ; Bader, Faouzi ; Shaat, Musbah ; Alouini, Mohamed-Slim

  • Author_Institution
    Electr. Eng. Program, King Abdullah Univ. of Sci. & Technol. (KAUST), Thuwal, Saudi Arabia
  • fYear
    2012
  • fDate
    18-20 June 2012
  • Firstpage
    212
  • Lastpage
    217
  • Abstract
    Relayed transmission increases the coverage and achievable capacity of communication systems. Adaptive relaying scheme is a relaying technique by which the benefits of the amplifying or decode and forward techniques can be achieved by switching the forwarding technique according to the quality of the signal. A cognitive Orthogonal Frequency-Division Multiplexing (OFDM) based adaptive relaying protocol is considered in this paper. The objective is to maximize the capacity of the cognitive radio system while ensuring that the interference introduced to the primary user is below the tolerated limit. A Near optimal power allocation in the source and the relay is presented for two pairing techniques such that the matching and random pairing. The simulation results confirm the efficiency of the proposed adaptive relaying protocol, and the consequence of choice of pairing technique.
  • Keywords
    OFDM modulation; cognitive radio; protocols; OFDM-based cognitive; adaptive relaying protocol; adaptive relaying strategy; cognitive orthogonal frequency-division multiplexing; cognitive radio system; communication systems; forwarding technique; near optimal power allocation algorithm; primary user; random pairing; relayed transmission; Interference; OFDM; Protocols; Relays; Resource management; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM), 2012 7th International ICST Conference on
  • Conference_Location
    Stockholm
  • ISSN
    2166-5370
  • Print_ISBN
    978-1-4673-2976-7
  • Electronic_ISBN
    2166-5370
  • Type

    conf

  • Filename
    6333742