Title page for etd-0806117-172650


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URN etd-0806117-172650
Author Tzu-Chun Hung
Author's Email Address No Public.
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Department Computer Science and Engineering
Year 2017
Semester 1
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Improve the Handover Mechanism of LTE-WiFi in Heterogeneous Networks
Date of Defense 2017-08-23
Page Count 75
Keyword
  • Long Term Evolution
  • Heterogeneous
  • Handover
  • Abstract In view of the progress of the development of science and technology, users demands for the network gradually increased. The traditional networks have gradually become inadequate. With the change of usage habit, the connection for a user to the network is no longer just in a fixed location, but rather hope to provide better quality of network services when a user is moving, which has become an important subject of today's wireless network transmissions.
    While the deployment of LTE base stations and Wi-Fi APs in the environment increased, users have more network services to choose. The LTE base stations can provide a wider range of services than the Wi-Fi AP. However, using the LTE network is usually required to pay but using Wi-Fi network is often free. Therefore, it is better to choose Wi-Fi for a user as much as possible. As the current Wi-Fi network has been unable to meet the needs of users and the user must switch to the LTE network, the current method is adjusted by the user. Hence, we attempt to propose a more intelligent handover mechanism to replace the current method.
    In our paper, we proposed a handover mechanism for user to make judgments based on the current situation of the Internet environment. According to the current situation we divided it into three cases, and users can make judgments based on the algorithm to switch to a better service to provide the network to satisfy the needs of users.
    According to the simulation results, compared with the traditional Wi-Fi connection method, our method can serve more users and have a larger average total throughput, especially in the heavy load situation, there will be a better performance.
    Advisory Committee
  • Tzung-Pei Hong - chair
  • Shu-Min Li - co-chair
  • Ming-Chao Chiang - co-chair
  • You-Chiun Wang - co-chair
  • Wei-Kuang Lai - advisor
  • Files
  • etd-0806117-172650.pdf
  • Indicate in-campus at 5 year and off-campus access at 5 year.
    Date of Submission 2017-09-07

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