• DocumentCode
    1965710
  • Title

    Energy-aware clustering for multi-cell joint transmission in LTE networks

  • Author

    Katranaras, Efstathios ; Imran, Muhammad Ali ; Dianati, Mehrdad

  • Author_Institution
    Centre for Commun. Syst. Res., Univ. of Surrey, Guildford, UK
  • fYear
    2013
  • fDate
    9-13 June 2013
  • Firstpage
    419
  • Lastpage
    424
  • Abstract
    This paper investigates the energy-aware clustering of cooperating base stations in the downlink of cellular networks. The focus of this work is on static clustering deployments for LTE systems when joint signal precoding is employed at multiple base stations. We demonstrate that properly planned clustering can provide the desired balance between network spectral and energy efficiency. To this end, we compare the overall energy consumption of various clustered cooperation layouts while considering different target performance metrics at user end. Our evaluations for various inter-site distance deployments in a practical macrocell scenario unveil the individual parameters controlling the energy effectiveness of a clustering strategy. In fact, it is shown that the choice of the optimum clustering layout depends on: 1) the specific service demands; 2) the deployment density of the network and; 3) on the ability of the base stations to jointly adjust their transmit power. Ultimately, we provide a general framework for choosing the most appropriate cooperation set of base stations in energy-aware networks.
  • Keywords
    Long Term Evolution; cellular radio; cooperative communication; pattern clustering; precoding; LTE networks; base station cooperation set; cellular network downlink; clustered cooperation layout; clustering strategy energy effectiveness; cooperating base stations; energy consumption; energy-aware clustering; energy-aware networks; intersite distance deployment; joint signal precoding; macrocell scenario; multicell joint transmission; multiple-base stations; network deployment density; network spectral-energy efficiency; optimum clustering layout; specific service demands; static clustering deployment; target performance metrics; transmit power; Downlink; Energy consumption; Interference; Joints; Layout; Quality of service; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications Workshops (ICC), 2013 IEEE International Conference on
  • Conference_Location
    Budapest
  • Type

    conf

  • DOI
    10.1109/ICCW.2013.6649270
  • Filename
    6649270