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研究生: Muhammad Farid Wajdi
Muhammad Farid Wajdi
論文名稱: Study on Load Balancing Mechanism in Long Term Evolution (LTE) with Software Defined Network (SDN)
Study on Load Balancing Mechanism in Long Term Evolution (LTE) with Software Defined Network (SDN)
指導教授: 黎碧煌
Bih-Hwang Lee
口試委員: 陳俊良
吳傳嘉
學位類別: 碩士
Master
系所名稱: 電資學院 - 電機工程系
Department of Electrical Engineering
論文出版年: 2018
畢業學年度: 106
語文別: 英文
論文頁數: 56
中文關鍵詞: Software Defined NetworkLTE EPCLoad BalancingOpenflow
外文關鍵詞: Software Defined Network, LTE EPC, Load Balancing, Openflow
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  • The growth of smart phones and tablet users followed the development of the mobile network. Challenge on mobile network in the future is to increase the throughput in support of network traffic. The number of mobile devices will surpass the total population of the word. The popular mobile packet core architecture in use today, the Long Term Evolution (LTE). The LTE (both radio and core network evolution) is now on the market. The main requirements for the new access network are high spectral efficiency, high peak data rates, short round trip time as well as flexibility in frequency and bandwidth [3GPP]
    The development of the mobile market is not only LTE, but also leads to 5G by adopting LTE SDN. Software Defined Networking (SDN) is enabling organization to accelerate application deployment and delivery, reducing IT costs through policy-enabled workflow automation. SDN technology enables cloud architecture by delivering automated, on demand application delivery and mobility scale.
    The target issue on the core network part is traffic routing, core network sharing, and traffic management. Traffic management in LTE mobile network is the critical functionality, and any new that handles mobility events has to deliver a reliable and low-latency handover. An important one for low latency is load balancing. We will propose of a new SDN-based core architecture to perform SDN flow-based load balancing. The experimental results show that our application successfully balances the traffic between the nodes, which preserved the high throughput and decreased latency among the new network nodes.


    The growth of smart phones and tablet users followed the development of the mobile network. Challenge on mobile network in the future is to increase the throughput in support of network traffic. The number of mobile devices will surpass the total population of the word. The popular mobile packet core architecture in use today, the Long Term Evolution (LTE). The LTE (both radio and core network evolution) is now on the market. The main requirements for the new access network are high spectral efficiency, high peak data rates, short round trip time as well as flexibility in frequency and bandwidth [3GPP]
    The development of the mobile market is not only LTE, but also leads to 5G by adopting LTE SDN. Software Defined Networking (SDN) is enabling organization to accelerate application deployment and delivery, reducing IT costs through policy-enabled workflow automation. SDN technology enables cloud architecture by delivering automated, on demand application delivery and mobility scale.
    The target issue on the core network part is traffic routing, core network sharing, and traffic management. Traffic management in LTE mobile network is the critical functionality, and any new that handles mobility events has to deliver a reliable and low-latency handover. An important one for low latency is load balancing. We will propose of a new SDN-based core architecture to perform SDN flow-based load balancing. The experimental results show that our application successfully balances the traffic between the nodes, which preserved the high throughput and decreased latency among the new network nodes.

    Abstract ................................................................................................................ iv Acknowledgements ............................................................................................... v Table of Contents ................................................................................................. vi List of abbreviations ............................................................................................ vii Table ................................................................................................................... viii Figure ................................................................................................................... ix Chapter I Introduction .......................................................................................... 1 1.1. General ................................................................................................... 1 1.2. Motivation .............................................................................................. 3 1.3. Objective and Scope ............................................................................... 3 1.4. Thesis Outline ......................................................................................... 4 Chapter II Background and Related Works ......................................................... 5 2.1. Software Defined Network (SDN) ......................................................... 5 2.2. OpenFlow ............................................................................................... 7 2.2.1 OpenFlow Switch ............................................................................ 8 2.2.2 OpenFlow Port ................................................................................ 9 2.3 Long Term Evolution (LTE) ................................................................ 10 2.4. Load Balancing LTE ............................................................................ 13 2.5 Opendaylight Controller ......................................................................... 13 2.6 Related Works ......................................................................................... 15 Chapter III Research Objectives and Approach ................................................. 19 3.1 General Description of the System ....................................................... 19 3.2 Statistic collection ................................................................................ 21 3.3 Load Balancing Algorithm ................................................................... 25 3.4 Performance Metrics............................................................................. 26 Chapter IV Performance Evaluation ................................................................... 27 4.1 Simulation Model................................................................................... 27 4.2 Simulation Results ................................................................................ 29 Chapter V Conclusion and Future Work ............................................................ 44 References ........................................................................................................... 45

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