• DocumentCode
    2093803
  • Title

    Radio resource allocation for energy consumption minimization in multi-homed wireless networks

  • Author

    Seonwook Kim ; Byeong Gi Lee ; Daeyoung Park

  • Author_Institution
    Dept. of EECS & INMC, Seoul Nat. Univ., Seoul, South Korea
  • fYear
    2013
  • fDate
    9-13 June 2013
  • Firstpage
    5589
  • Lastpage
    5594
  • Abstract
    In this paper, we present a resource allocation algorithm for energy consumption minimization in multi-homed wireless networks, simultaneously connecting to different wireless interfaces. Specifically, we first formulate a general problem related to minimization of energy consumption while satisfying minimum rate requirements. Then, we solve the problem by relaxing integer value constraints and applying Lagrangian Lagrangian dualityduality. For a given set of dual variables, we derive optimal resource allocation policies by using an efficient dual update method. Numerical results reveal that the optimal allocation algorithm outperforms the existing resource allocation algorithms for homogeneous networks in terms of the energy consumption reduction as well as energy efficiency of the overall network.
  • Keywords
    integer programming; radio networks; resource allocation; telecommunication power management; Lagrangian duality; dual update method; energy consumption minimization; integer value constraints; multihomed wireless networks; optimal allocation algorithm; radio resource allocation; wireless interfaces; Energy consumption; Optimization; Power demand; Resource management; Upper bound; Wireless LAN; Wireless networks; Energy efficiency; Lagrangian dual; multi-homing; orthogonal frequency division multiple access (OFDMA); radio resource allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2013 IEEE International Conference on
  • Conference_Location
    Budapest
  • ISSN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/ICC.2013.6655483
  • Filename
    6655483