• DocumentCode
    131154
  • Title

    Mobile terminals clustering for green radio applications

  • Author

    Noureddine, Hadi ; Honggang Zhang ; Palicot, Jacques

  • Author_Institution
    Supeelec/IETR, Cesson-Sévigné, France
  • fYear
    2014
  • fDate
    2-4 Sept. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Improving the energy efficiency is a major challenge of the next-generation wireless networks. In this regard, several network level green applications have been proposed during the last few years. In this paper, we review some of these applications, and describe how the awareness about the presence of clusters of nearby communicating nodes can enhance them. The considered applications fall into the categories of cell shaping, heterogeneous networks, beamforming and relaying. We exploit the received signal strength (RSS) measurements for finding the clusters of nodes, and study the clustering performance via simulations for local indoor and cellular network scenarios.
  • Keywords
    array signal processing; cellular radio; environmental factors; indoor radio; mobile computing; next generation networks; relay networks (telecommunication); beamforming; cell shaping; cellular network scenario; communicating nodes; energy efficiency improvement; green radio applications; heterogeneous networks; local indoor network scenario; mobile terminals clustering; network level green applications; next-generation wireless networks; received signal strength measurements; relaying; Array signal processing; Clutter; Energy consumption; Green products; NIST; Vectors; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Cellular Systems (CCS), 2014 1st International Workshop on
  • Conference_Location
    Germany
  • Type

    conf

  • DOI
    10.1109/CCS.2014.6933792
  • Filename
    6933792