• DocumentCode
    1844699
  • Title

    Minimizing symbol error rate for cognitive relaying with opportunistic access

  • Author

    Zafar, Ammar ; Alouini, Mohamed-Slim ; Chen, Yunfei ; Radaydeh, Redha M.

  • Author_Institution
    Electr. Eng. Program, King Abdullah Univ. of Sci. & Technol. (KAUST) Thuwal, Thuwal, Saudi Arabia
  • fYear
    2012
  • fDate
    18-20 June 2012
  • Firstpage
    153
  • Lastpage
    157
  • Abstract
    In this paper, we present an optimal resource allocation scheme (ORA) for an all-participate (AP) cognitive relay network that minimizes the symbol error rate (SER). The SER is derived and different constraints are considered on the system. We consider the cases of both individual and global power constraints, individual constraints only and global constraints only. Numerical results show that the ORA scheme outperforms the schemes with direct link only and uniform power allocation (UPA) in terms of minimizing the SER for all three cases of different constraints. Numerical results also show that the individual constraints only case provides the best performance at large signal-to-noise-ratio (SNR).
  • Keywords
    cognitive radio; AP cognitive relay network; ORA scheme; SER minimization; SNR; all-participate cognitive relay network; cognitive relaying; global power constraint; individual power constraint; opportunistic access; optimal resource allocation scheme; signal-to-noise ratio; symbol error rate minimization; uniform power allocation; Cognitive radio; Interference; Optimization; Relays; Resource management; Sensors; Signal to noise ratio; Cognitive relays; opportunistic access; optimal resource allocation; symbol error rate;
  • 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
    6333731