• DocumentCode
    1867534
  • Title

    Optimal downlink control channel resource allocation for LTE systems

  • Author

    Balamurali

  • Author_Institution
    Motorola, India
  • fYear
    2010
  • fDate
    18-21 July 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents optimal and efficient suboptimal resource allocation algorithms for the downlink control channel of the Third Generation Partnership Project-Long Term Evolution (3GPP-LTE) standard. A novel formulation of this resource allocation problem as a pure binary-integer program called the set packing problem is performed. This problem has been well-studied in operations research. In addition a greedy heuristic sub-optimal algorithm that reduces the processing complexity involved in finding the optimal solution and also approaches the optimal performance is presented. Performance comparisons of these proposed schemes based on Monte-Carlo simulations in a 5 MHz bandwidth LTE system are provided. The results prove that the proposed algorithms can significantly improve the system´s cell-edge performance.
  • Keywords
    3G mobile communication; Monte Carlo methods; greedy algorithms; integer programming; resource allocation; telecommunication control; LTE systems; Monte-Carlo simulations; binary-integer program; channel resource allocation; frequency 5 MHz; greedy heuristic suboptimal algorithm; optimal downlink control; third generation partnership project-long term evolution; Bandwidth; Complexity theory; Delay; Downlink; Heuristic algorithms; Optimization; Resource management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications (SPCOM), 2010 International Conference on
  • Conference_Location
    Bangalore
  • Print_ISBN
    978-1-4244-7137-9
  • Type

    conf

  • DOI
    10.1109/SPCOM.2010.5560540
  • Filename
    5560540