• DocumentCode
    1721502
  • Title

    Congestion control optimization of M2M in LTE networks

  • Author

    Jiann-Liang Chen ; Han-Chuan Hsieh ; Larosa, Y.T.

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
  • fYear
    2013
  • Firstpage
    823
  • Lastpage
    827
  • Abstract
    This paper introduces optimization methods of M2M communication based on 3GPP standard. The optimization techniques are specified on M2M bearer within the mobile communication network. Its presentation intends to present an insight and approach to develop high quality communication frameworks for IoT data test-bed, based on Long Term Evolution (LTE) communications systems. The test-bed framework is achieved by featuring an emulation of Evolve Packet Core (EPC) construction using NetFPGA and OpenFlow platforms. The testbed model will be expected to offer the sensitiveness control over IoT communication data type. In addition the emulation scheme provided by this test-bed will allow an extensive achievement toward M2M over LTE compliance for IoT integrated architecture in the near future.
  • Keywords
    3G mobile communication; Internet; Long Term Evolution; control engineering computing; field programmable gate arrays; optimisation; telecommunication congestion control; 3GPP standard; EPC; LTE network; Long Term Evolution communications system; M2M communication; NetFPGA platform; OpenFlow platform; congestion control optimization; evolve packet core; high quality communication framework; loT communication data test-bed type framework; mobile communication network; Large Hadron Collider; Mobile communication; Mobile computing; Reliability; Switches; Human-to-Human (H2H); Internet of Things (IoT); Long Term Evolution (LTE); Machine-to-Machine (M2M); NetFPGA; OpenFlow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Communication Technology (ICACT), 2013 15th International Conference on
  • Conference_Location
    PyeongChang
  • ISSN
    1738-9445
  • Print_ISBN
    978-1-4673-3148-7
  • Type

    conf

  • Filename
    6488311