• DocumentCode
    2671669
  • Title

    Optimal Congestion and Power Control Providing SINR Guarantee and Energy Saving for Ad Hoc Networks

  • Author

    Zhang, Yongmin ; Xu, Weiqiang ; Wang, Yaming ; Zhang, Yunhua

  • Author_Institution
    Coll. of Inf. & Electron., Zhejiang Sci-Tech Univ., Hangzhou, China
  • fYear
    2010
  • fDate
    18-20 Dec. 2010
  • Firstpage
    672
  • Lastpage
    676
  • Abstract
    In this paper, we deal with a cross-layer optimization problem in Ad Hoc networks. Based on network utility maximization framework, we formulate the joint congestion and power control problem providing SINR guarantee and energy saving. We adopt dual decomposition technique to deduce two maximization sub problem, and then design the optimal distributed congestion control algorithm at the transport layer and power control algorithm at the physical layer, respectively. In this cross-layer optimization algorithm, the sources update their transmission rates by the congestion measures, and the links update their transmission powers to satisfy SINR requirement and save node energy. The simulation results show that the proposed algorithm providing SINR guarantee and energy saving. Moreover, it can achieve the global optimum within reasonable convergence time.
  • Keywords
    ad hoc networks; distributed control; optimal control; optimisation; telecommunication congestion control; SINR; ad hoc networks; cross layer optimization problem; energy saving; network utility maximization framework; optimal distributed congestion control algorithm; power control; Ad hoc networks; Algorithm design and analysis; Interference; Optimization; Power control; Signal to noise ratio; Wireless communication; Ad Hoc Networks; SINR guarantee; congestion control; energy saving; power control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Computing and Communications (GreenCom), 2010 IEEE/ACM Int'l Conference on & Int'l Conference on Cyber, Physical and Social Computing (CPSCom)
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4244-9779-9
  • Electronic_ISBN
    978-0-7695-4331-4
  • Type

    conf

  • DOI
    10.1109/GreenCom-CPSCom.2010.72
  • Filename
    5724902