• DocumentCode
    3766762
  • Title

    Clustering-based interference management in densely deployed femtocell networks

  • Author

    Yujie Zhang;Shaowei Wang;Jinghong Guo

  • Author_Institution
    School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, China
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Deploying femtocells underlaying macrocells is a promising way to improve the capacity and enhance the coverage of a cellular system. However, densely deployed femtocells in urban area also give rise to intra-tier and cross-tier interference issue that should be addressed properly to acquire the expected performance gain. In this paper, we propose an interference management scheme based on joint clustering and resource allocation for the two-tier Orthogonal Frequency Division Multiplexing (OFDM)-based femtocell networks. We formulate an optimization task to maximize the sum throughput of the femtocell users (FUs) under the consideration of intra-tier interference mitigation, while controlling the interference to the macrocell user (MU) under its bearable threshold. The formulate problem is addressed by a two-stage procedure: femtocells clustering and resource allocation. First, disjoint femtocell clusters with dynamic sizes and numbers are generated to minimize intra-tier interference. Then each cluster is taken as a resource allocation unit to share all subchannels, followed by a fast algorithm to distribute power among these subchanels. Simulation results show that our proposal can improve the throughput of the FUs with reasonable complexity.
  • Keywords
    "Interference","Resource management","Clustering algorithms","Macrocell networks","Femtocell networks","Ultrafast electronics","Wireless communication"
  • Publisher
    ieee
  • Conference_Titel
    Communications in China (ICCC), 2015 IEEE/CIC International Conference on
  • Type

    conf

  • DOI
    10.1109/ICCChina.2015.7448752
  • Filename
    7448752