• DocumentCode
    40902
  • Title

    Low-Complexity Energy-Efficient Resource Allocation for the Downlink of Cellular Systems

  • Author

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

  • Author_Institution
    Centre for Commun. Syst. Res., Univ. of Surrey, Guildford, UK
  • Volume
    61
  • Issue
    6
  • fYear
    2013
  • fDate
    Jun-13
  • Firstpage
    2271
  • Lastpage
    2281
  • Abstract
    Energy efficiency (EE) is undoubtedly an important criterion for designing power-limited systems, and yet in a context of global energy saving, its relevance for power-unlimited systems is steadily growing. Equally, resource allocation is a well-known method for improving the performance of cellular systems. In this paper, we propose an EE optimization framework for the downlink of planar cellular systems over frequency-selective channels. Relying on this framework, we design two novel low-complexity resource allocation algorithms for the single-cell and coordinated multi-cell scenarios, which are EE-optimal and EE-suboptimal, respectively. We then utilize our algorithms for comparing the EE performance of the classic non-coordinated, orthogonal and coordinated multi-cell approaches in realistic power and system settings. Our results show that coordination can be a simple and effective method for improving the EE of cellular systems, especially for medium to large cell sizes. Indeed, by using a coordinated rather than a non-coordinated resource allocation approach, the per-sector energy consumption and transmit power can be reduced by up to 15% and more than 90%, respectively.
  • Keywords
    cellular radio; energy conservation; energy consumption; resource allocation; EE optimization framework; EE-optimal; EE-suboptimal; cellular system downlink; coordinated multi-cell scenarios; energy efficiency; frequency-selective channels; global energy saving; low-complexity energy-efficient resource allocation; per-sector energy consumption; power-limited systems; power-unlimited systems; resource allocation approach; single-cell scenarios; Algorithm design and analysis; Downlink; Energy consumption; Interference; Optimization; Resource management; Energy efficiency; cellular system; multi-user; realistic power model; resource allocation;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2013.042313.120516
  • Filename
    6510022