• DocumentCode
    2622760
  • Title

    A novel distributed resource allocation algorithm based on Superposition of Shadow Area

  • Author

    Wu, Zhe ; Chen, Changjia

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Beijing Jiaotong Univ., Beijing, China
  • fYear
    2009
  • fDate
    16-18 Oct. 2009
  • Firstpage
    63
  • Lastpage
    67
  • Abstract
    In this paper, a novel distributed resource allocation algorithm based on Superposition of Shadow Area (SSA) to enhance the experience of cell edge users (CEUs) and to make use of the frequency band more sufficiently in Orthogonal Frequency Division Multiple Access (OFDMA) cellular systems is presented. In OFDMA systems, most CEUs can not work normally if too many users are in edge area of the cell. Soft Frequency Reuse (SFR) interference coordination scheme is proposed in 3GPP Long Term Evolution (LTE). Because the cell edge users can only use a fraction of the entire frequency band, much more edge users will have lower rate and the throughput for CEUs is severely limited by the inter-cell interference (ICI) which must be effectively managed if we try to achieve improvements for cell edge throughput and more balanced data rates and service quality among CEUs and cell center users (CCUs). However, in our scheme, cell edge users can use the entire frequency band and they can choose the subchannels which can provide them better quality, so from the point of view that experience of CEUs and utilization of frequency band can be improved and we find that the cell edge throughput has been improved more than SFR scheme by simulation.
  • Keywords
    3G mobile communication; cellular radio; channel allocation; cochannel interference; frequency division multiple access; 3GPP long term evolution; cell center users; cell edge users; distributed resource allocation; intercell interference; orthogonal frequency division multiple access; soft frequency reuse interference coordination; superposition of shadow area; Distributed computing; Frequency conversion; Interference; Long Term Evolution; Quality management; Quantum computing; Radio spectrum management; Resource management; Throughput; Time frequency analysis; OFDMA; inter-cell interference; resource allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications Technology and Applications, 2009. ICCTA '09. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-4816-6
  • Electronic_ISBN
    978-1-4244-4817-3
  • Type

    conf

  • DOI
    10.1109/ICCOMTA.2009.5349236
  • Filename
    5349236