• DocumentCode
    679671
  • Title

    Energy-efficient resource allocation for orthogonal multi-antenna multi-carrier channel

  • Author

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

  • Author_Institution
    Centre for Commun. Syst. Res. (CCSR), Univ. of Surrey, Guildford, UK
  • fYear
    2013
  • fDate
    29-31 Oct. 2013
  • Firstpage
    109
  • Lastpage
    114
  • Abstract
    Energy efficiency (EE) is growing in importance as a key performance indicator for designing the next generation of communication systems. Equally, resource allocation is an effective approach for improving the performance of communication systems. In this paper, we propose a low-complexity energy-efficient resource allocation method for the orthogonal multi-antenna multi-carrier channel. We derive explicit formulations of the optimal rate and energy-per-bit consumption for the per-antenna transmit power constrained and per-antenna rate constrained EE optimization problems as well as provide a low-complexity algorithm for optimally allocating resources over the orthogonal multi-antenna multi-carrier channel. We then compare our approach against a classic optimization tool in terms of energy efficiency as well as complexity, and results indicate the optimality and low-complexity of our approach. Comparing EE-optimal with spectral efficiency and power optimal allocation approaches over the orthogonal multi-antenna multi-carrier channel indicates that the former provides a good trade-off between power consumption and sum-rate performances.
  • Keywords
    antenna arrays; energy conservation; optimisation; low-complexity energy-efficient resource allocation method; orthogonal multiantenna multicarrier channel; per-antenna rate constrained EE optimization problems; per-antenna transmit power constrained EE optimisation problem; Complexity theory; MIMO; Optimization; Power demand; Resource management; Transmitting antennas; Energy efficiency; MIMO; multi-carrier; realistic power model; resource allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Online Conference on Green Communications (GreenCom), 2013 IEEE
  • Conference_Location
    Piscataway, NJ
  • Type

    conf

  • DOI
    10.1109/OnlineGreenCom.2013.6731037
  • Filename
    6731037