• DocumentCode
    1885331
  • Title

    Utility-based resource allocation for mixed traffic in wireless networks

  • Author

    Li Chen ; Wang, Bin ; Chen, Li ; Zhang, Xin ; Yang, Dacheng

  • Author_Institution
    Wireless Theor. & Technol. (WT&T), Beijing Univ. of Posts & Telecommun. (BUPT), Beijing, China
  • fYear
    2011
  • fDate
    10-15 April 2011
  • Firstpage
    91
  • Lastpage
    96
  • Abstract
    In order to solve the problem that the existing resource allocation strategies cannot give integrative consideration to QoS, spectrum efficiency for mixed traffic, this paper proposes a utility-based resource allocation algorithm for mixed traffic in wireless networks. The unified utility function for users with different traffics is studied first. After that, the optimization model for the resource allocation is established based on the unified utility function. A heuristic algorithm based on the solution of the model is proposed in the mixed traffic scenario after analyzing the optimization model. The algorithm which has lower complexity than the existing work can automatically guarantee the QoS requirement for the real-time traffic and make a tradeoff between throughput and fairness for users with best effort traffic due to the unified utility function. Numeric simulation results indicate that the algorithm is very applicable for mixed traffic, and the resource requirements for QoS users can be satisfied preferentially in the mixed traffic scenario.
  • Keywords
    optimisation; quality of service; radio networks; telecommunication traffic; QoS requirement; best effort traffic; heuristic algorithm; mixed traffic; optimization model; quality of service; real-time traffic; spectrum efficiency; unified utility function; utility-based resource allocation algorithm; wireless networks; Aggregates; Analytical models; Optimization; Quality of service; Resource management; Throughput; Wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communications Workshops (INFOCOM WKSHPS), 2011 IEEE Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4577-0249-5
  • Electronic_ISBN
    978-1-4577-0248-8
  • Type

    conf

  • DOI
    10.1109/INFCOMW.2011.5928944
  • Filename
    5928944