• DocumentCode
    692322
  • Title

    Energy-efficient downlink resource allocation for mobile devices in wireless systems

  • Author

    Ya-Ju Yu ; Ai-Chun Pang ; Pi-Cheng Hsiu ; Yuguang Fang

  • Author_Institution
    Res. Center for Inf. Technol. Innovation, Acad. Sinica, Taipei, Taiwan
  • fYear
    2013
  • fDate
    9-13 Dec. 2013
  • Firstpage
    4692
  • Lastpage
    4698
  • Abstract
    Mobile users have become increasingly addicted to multimedia applications which are extremely downlink-intensive. We observed that conventional objectives, like rate adaptive and margin adaptive, adopted for radio resource allocation may lead to unnecessary energy consumption of mobile devices, which is adverse to the development of mobile multimedia applications. This paper presents an alternative objective, called energy adaptive, and formulates the energy-efficient downlink resource allocation problem. The objective is to minimize the total energy consumption of mobile devices for data reception while satisfying users´ data rate requirements and base station´s available transmit power. We prove that the target problem is NP-hard and propose an efficient heuristic algorithm to solve the problem. The results of simulations conducted to evaluate the efficacy of the proposed algorithm agree with our observation on the conventional objectives, as well as providing some useful insights into the design of energy-efficient downlink resource allocation for wireless systems.
  • Keywords
    computational complexity; data communication; energy conservation; energy consumption; mobile communication; mobile handsets; multimedia communication; optimisation; radio reception; resource allocation; telecommunication links; telecommunication power management; NP-hard problem; base station transmit power; data reception; energy consumption; energy-efficient downlink resource allocation problem; heuristic algorithm; mobile devices; mobile multimedia applications; mobile users; radio resource allocation; user data rate requirements; wireless systems; Base stations; Downlink; Energy consumption; Mobile handsets; Partitioning algorithms; Resource management; Wireless communication; Downlink resource allocation; energy efficiency; mobile devices; wireless systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Communications Conference (GLOBECOM), 2013 IEEE
  • Conference_Location
    Atlanta, GA
  • Type

    conf

  • DOI
    10.1109/GLOCOMW.2013.6855692
  • Filename
    6855692