• DocumentCode
    3750442
  • Title

    Using clustering techniques to improve capacity of LTE networks

  • Author

    Maryam Hajjar;Ghadah Aldabbagh;Nikos Dimitriou

  • Author_Institution
    Computer Science Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia
  • fYear
    2015
  • Firstpage
    68
  • Lastpage
    73
  • Abstract
    In highly dense LTE networks, with the increased number of users requesting services in a cell, blocking will occur for some users. To deal with this, techniques for increasing the capacity of the cell must be adopted. Clustering nodes into small groups with low power will enable reusing the available frequency and thus expanding the capacity of the network. In this paper, clustering is implemented in a way to configure the nodes into groups each having one cluster-head (CH) that communicates directly with the Base Station (BS), while other nodes, called slaves, relay their communication through cluster-head nodes. The implementation of different clustering strategies that are adapted for the LTE environment is proposed. Two of the well-known clustering algorithms, namely K-means and the Hierarchical Agglomerative Clustering (HAC), are used for this purpose. Moreover, the use of selection strategy for configuring the nodes is also implemented and compared with the other two clustering techniques. A proper frequency allocation and power control scheme is implemented in order to avoid excessive interference and get valid clustering formations in all cases.
  • Keywords
    "Interference","Signal to noise ratio","Relays","Clustering algorithms","Long Term Evolution","Resource management","Wireless sensor networks"
  • Publisher
    ieee
  • Conference_Titel
    Communications (APCC), 2015 21st Asia-Pacific Conference on
  • Type

    conf

  • DOI
    10.1109/APCC.2015.7412593
  • Filename
    7412593