• DocumentCode
    2786459
  • Title

    Energy-Efficiency Based Resource Allocation for the Orthogonal Multi-User Channel

  • Author

    Heliot, Fabien ; Imran, Muhammad Ali ; Tafazolli, Rahim

  • Author_Institution
    Centre for Commun. Syst. Res. (CCSR), Univ. of Surrey, Guildford, UK
  • fYear
    2012
  • fDate
    3-6 Sept. 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Energy efficiency (EE) is emerging as a key design criterion for both power limited, i.e. mobile devices, and power-unlimited, i.e. cellular networks, applications. Whereas, resource allocation is a well-known technique for improving the performance of communication systems. In this paper, we design a simple and optimal EE-based resource allocation method for the orthogonal multi-user channel by adapting the transmit power and rate to the channel condition such that the energy-per-bit consumption is minimized. We present our EE framework, i.e. EE metric and node power consumption model, and utilize it for formulating our EE-based optimization problem with or without constraint. In both cases, we derive explicit formulations of the optimal energy-per-bit consumption as well as optimal power and rate for each user. Our results indicate that EE-based allocation can substantially reduce the consumed power and increase the EE in comparison with spectral efficiency-based allocation.
  • Keywords
    cellular radio; energy conservation; multiuser channels; optimisation; radiofrequency power transmission; resource allocation; wireless channels; EE metric; EE-based optimization problem; cellular networks; channel condition; communication systems; energy efficiency-based resource allocation; energy-per-bit consumption; mobile devices; node power consumption model; optimal EE-based resource allocation method; optimal energy-per-bit consumption; orthogonal multiuser channel; power transmission; resource allocation; spectral efficiency-based allocation; Downlink; Energy consumption; Measurement; Optimization; Phase change materials; Power demand; Resource management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Fall), 2012 IEEE
  • Conference_Location
    Quebec City, QC
  • ISSN
    1090-3038
  • Print_ISBN
    978-1-4673-1880-8
  • Electronic_ISBN
    1090-3038
  • Type

    conf

  • DOI
    10.1109/VTCFall.2012.6399243
  • Filename
    6399243