• DocumentCode
    1763243
  • Title

    A Distributed Clustering Algorithm for Coordinated Multipoint in LTE Networks

  • Author

    Guidolin, Francesco ; Badia, Leonardo ; Zorzi, Michele

  • Author_Institution
    Dept. of Inf. Eng., Univ. of Padova, Padua, Italy
  • Volume
    3
  • Issue
    5
  • fYear
    2014
  • fDate
    Oct. 2014
  • Firstpage
    517
  • Lastpage
    520
  • Abstract
    Coordination and cooperation among transmitters are fundamental paradigms to improve the performance of next-generation mobile networks. By grouping multiple transmitters into clusters, interference can be managed to improve the performance at the end user´s side. In this letter, we present a novel distributed clustering algorithm that adapts the cluster configuration according to the users distribution and the average cluster size. We compare the performance obtained with other clustering solutions in an LTE scenario using the open-source network simulator ns3. Our proposed algorithm is shown to significantly outperform the other approaches, particularly for the users with low signal-to-noise ratio (SNR), with a 26% improvement of throughput for the worst 10% of the low-SNR users compared with greedy clustering.
  • Keywords
    Long Term Evolution; cellular radio; cooperative communication; greedy algorithms; next generation networks; radio transmitters; radiofrequency interference; LTE Networks; Long Term Evolution; cluster configuration; coordinated multipoint; distributed clustering algorithm; greedy clustering; next generation mobile networks; ns3 open-source network simulator; Clustering algorithms; Downlink; Games; Heuristic algorithms; Interference; Signal to noise ratio; Throughput; Cellular radio; MIMO systems; clustering; coordinated beamforming; long term evolution;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    2162-2337
  • Type

    jour

  • DOI
    10.1109/LWC.2014.2340405
  • Filename
    6858023