• DocumentCode
    52281
  • Title

    Cloud computing meets mobile wireless communications in next generation cellular networks

  • Author

    Yegui Cai ; Yu, F. ; Shengrong Bu

  • Author_Institution
    Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, ON, Canada
  • Volume
    28
  • Issue
    6
  • fYear
    2014
  • fDate
    Nov.-Dec. 2014
  • Firstpage
    54
  • Lastpage
    59
  • Abstract
    In next generation cellular networks, cloud computing will have profound impacts on mobile wireless communications. On the one hand, the integration of cloud computing into the mobile environment enables MCC systems. On the other hand, the powerful computing platforms in the cloud for radio access networks lead to a novel concept of C-RAN. In this article we study the topology configuration and rate allocation problem in C-RAN with the objective of optimizing the end-to-end performance of MCC users in next generation cellular networks. We use a decision theoretical approach to tackle the delayed channel state information problem in C-RAN. Simulation results show that the design and operation of future mobile wireless networks can be significantly affected by cloud computing, and the proposed scheme is capable of achieving substantial performance gains over existing schemes.
  • Keywords
    cellular radio; cloud computing; mobile computing; radio access networks; C-RAN; MCC system; cloud computing; delayed channel state information problem; mobile wireless communications; next generation cellular networks; radio access networks; Cellular networks; Cloud computing; Delays; Mobile communication; Mobile computing; Next generation networking; Wireless networks;
  • fLanguage
    English
  • Journal_Title
    Network, IEEE
  • Publisher
    ieee
  • ISSN
    0890-8044
  • Type

    jour

  • DOI
    10.1109/MNET.2014.6963805
  • Filename
    6963805