National Taichung University of Education, M.S. degree
Department of Computer Science
Lab : Smart IOT lab
Advising professor : 張林煌(Lin-huang Chang) 、 李宗翰(Tsung-Han Lee)
Master’s thesis : A Deep Learning Approach of MOS-based Handover Prediction Mechanism for LTE Mobile Networks
Analyze different QoE to satisfy different network service
Use deep learning models(MLP, CNN, RNN, LSTM) for handover prediction.
Use Mininet-WiFi as the simulator test-bed.
Field of research : LTE、Deep learning、QoE、MOS、Handover
Use of Technic : Mininet-WiFi, Iperf, Multilayer Perceptron(MLP), Convolutional Neural Network(CNN), Recurrent Neural Network(RNN), Long short-term memory(LSTM)
2018 - 2020
科技部整合型多年計畫 MOST 107-2221-E-142-002-MY2 : Deep Learning based QoS Design and Implementation Using Software Defined Networks
The goal of the project is using deep learning models to classify the trac ow in SDN network and setting different QoS rules for the classed results.
Ya-Shu Chan, Tsung-Han Lee, Lin-Huang Chang, “A Deep Learning Prediction Approach for Handover Mechanism in Wireless Network,” 2018 Taiwan Academic Network Conference(Best paper award)
Ya-Shu Chan, Tsung-Han Lee, Lin-Huang Chang, “A Deep Learning Approach of Handover Prediction Mechanism for Software Defined Wireless Networks,” The 18th Conference on Information Technology and Applications in Outlying Islands, 2019
Tsung-Han Lee, Ya-Shu Chan and Lin-Huang Chang, “The MOS-based Handover Mechanism for Video Conference Services in LTE Networks,” in 1st International Workshop on Technology of AI and Wireless Advanced Networking: Dependable Computing and Communication, 2020