• DocumentCode
    2522469
  • Title

    Adaptive power allocation for soft frequency reuse in multi-cell LTE networks

  • Author

    Yu, Yiwei ; Dutkiewicz, Eryk ; Huang, Xiaojing ; Mueck, Markus

  • Author_Institution
    Dept. of Electron. Eng., Macquarie Univ., Sydney, NSW, Australia
  • fYear
    2012
  • fDate
    2-5 Oct. 2012
  • Firstpage
    991
  • Lastpage
    996
  • Abstract
    This paper presents a novel power allocation approach for soft frequency reuse (SFR) adopted in a multi-cell LTE network. Based on the fact that major inter-cell interference (ICI) is coordinated by SFR, the proposed power allocation focuses on dealing with mutual interference between cell-edge and cell-center users in the network. It is formulated as an optimization problem, where the performance of cell-edge users is optimized under the condition that desirable performance must be maintained for cell-center users. The optimal solution can be obtained by using the Lagrange decomposition method. Simulation results show that our approach can significantly improve performance of cell-edge users by achieving 20% gain over conventional SFR with average power allocation when higher performance for cell-center users is maintained.
  • Keywords
    Long Term Evolution; cellular radio; optimisation; radiofrequency interference; ICI; Lagrange decomposition method; SFR; adaptive power allocation; cell-center users; cell-edge users; intercell interference; multicell LTE networks; optimization problem; soft frequency reuse; Interference; OFDM; Optimization; Planning; Radio spectrum management; Resource management; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Information Technologies (ISCIT), 2012 International Symposium on
  • Conference_Location
    Gold Coast, QLD
  • Print_ISBN
    978-1-4673-1156-4
  • Electronic_ISBN
    978-1-4673-1155-7
  • Type

    conf

  • DOI
    10.1109/ISCIT.2012.6381049
  • Filename
    6381049