• DocumentCode
    642234
  • Title

    Energy-efficient coordinated resource allocation for the downlink of cellular systems

  • Author

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

  • Author_Institution
    Centre for Commun. Syst. Res. (CCSR), Univ. of Surrey, Guildford, UK
  • fYear
    2013
  • fDate
    3-5 July 2013
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    Energy efficiency (EE) is growing in importance as a system design criterion for power-unlimited system such as cellular systems. Equally, resource allocation is a well-known method for improving the performance of the latter. In this paper, we propose two novel coordinated resource allocation strategies for jointly optimizing the resources of three sectors/cells in an energy-efficient manner in the downlink of multi-cell/sector systems. Given that this optimization problem is non-convex, it can only be optimally solved using high complexity exhaustive search. Here, we propose two practical approaches for allocating resources in a low complexity manner. We then compare our novel approaches against other existing non-coordinated and coordinated ones in order to highlight their benefit. Our results indicate that our first approach performs the best in terms of EE but with a low level of fairness in the user rate allocation; whereas our second approach provides a good trade-off between EE and fairness. Overall, base station selection, i.e. allowing only one sector to transmit at a time, is a very energy-efficient approach when the sleeping power is considered in the base station power model.
  • Keywords
    cellular radio; optimisation; resource allocation; base station power model; cellular system downlink; energy-efficient coordinated resource allocation; exhaustive search; multicell-sector systems; optimization problem; power-unlimited system; sleeping power; user rate allocation; Bandwidth; Complexity theory; Downlink; OFDM; Optimization; Resource management; Vectors; Energy efficiency; cellular systems; multi-user; realistic power model; resource allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Network and Mobile Summit (FutureNetworkSummit), 2013
  • Conference_Location
    Lisboa
  • Type

    conf

  • Filename
    6633533