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A Theoretical Architecture for TM Through Software Defined Mobile Network in 5G Environments

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Smart Societies, Infrastructure, Technologies and Applications (SCITA 2017)

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Abstract

The 5th generations of networks have been evolved to satisfy the enormous growth of the user’s requirements. To achieve the user’s requirements and to assure the QoS, the traffic management (TM) of data transmission must be considered with the different network architectures. Thus, this paper presents using Software Defined Network (SDN) as well as Software Defined Mobile Network (SDMN) for (TM) purposes. Additionally, this article has analyzed the recent contributions of SDN and SDMN regarding TM within 5G environments. Moreover, we have proposed a theoretical architecture for the mobile TM systems through the SDMN controller. This architecture allows us to improve the performance enhancement through loading TM. Thus, benefits and challenging points of the proposed architecture have been presented.

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Authors and Affiliations

  1. Department of Computer Science, Faculty of Computing and IT, King Abdulaziz University, Jeddah, Saudi Arabia

    Ahmed Alshaflut & Vijey Thayananthan

Authors
  1. Ahmed Alshaflut
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  2. Vijey Thayananthan
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Corresponding author

Correspondence to Ahmed Alshaflut .

Editor information

Editors and Affiliations

  1. King Abdulaziz University, Jeddah, Saudi Arabia

    Rashid Mehmood

  2. Geographic Information Science and Technology, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA

    Budhendra Bhaduri

  3. King Abdulaziz University, Jeddah, Saudi Arabia

    Iyad Katib

  4. European Alliance for Innovation, Bratislava, Slovakia

    Imrich Chlamtac

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Alshaflut, A., Thayananthan, V. (2018). A Theoretical Architecture for TM Through Software Defined Mobile Network in 5G Environments. In: Mehmood, R., Bhaduri, B., Katib, I., Chlamtac, I. (eds) Smart Societies, Infrastructure, Technologies and Applications. SCITA 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 224. Springer, Cham. https://doi.org/10.1007/978-3-319-94180-6_10

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  • DOI: https://doi.org/10.1007/978-3-319-94180-6_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-94179-0

  • Online ISBN: 978-3-319-94180-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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