• DocumentCode
    2364127
  • Title

    An optimal resource allocation technique for spectrum sharing MIMO wireless relay network

  • Author

    Tang, Jie ; Lambotharan, Sangarapillai

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Loughborough Univ., Loughborough, UK
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    3516
  • Lastpage
    3520
  • Abstract
    We investigate a weighted sum rate maximization and rate balancing problem for a spectrum sharing multiple input multiple output (MIMO) based wireless relay network. The aim is to maximize the sum rate of the wireless relay network whilst ensuring the interference leakage to the primary user terminals during two time slots are below a specific value. We solve this problem by asymmetrically allocating the power to different time slots and using the principle of MAC-BC duality. The algorithm in its dual form has been solved using sub-gradient methods. The simulation results demonstrate the convergence of the algorithm and the simultaneous satisfaction of maximum power and the interference constraints.
  • Keywords
    MIMO communication; cognitive radio; convergence of numerical methods; gradient methods; optimisation; radio spectrum management; radiofrequency interference; resource allocation; MAC-BC duality principle; convergence; interference constraints; interference leakage; optimal resource allocation technique; primary user terminals; rate balancing problem; spectrum sharing MIMO wireless relay network; subgradient methods; time slots; weighted sum rate maximization; Cognitive radio; Convergence; Interference; MIMO; Relays; Resource management; Cognitive Radio; MIMO; Rate Balancing; Relay;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2012 IEEE International Conference on
  • Conference_Location
    Ottawa, ON
  • ISSN
    1550-3607
  • Print_ISBN
    978-1-4577-2052-9
  • Electronic_ISBN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/ICC.2012.6363750
  • Filename
    6363750