Course Syllabus

Course Information：

Year-Semester Course Number Course Name Phase Credits Hours Required/Elective Instructor Class Student NO. Withdraw Note

Spring Semester
Year 2021 287483 Special Topics on Wireless Communications 1 3.0 3 ★ HSIN-PIAO LIN 電子所
IEECSG 28 0 ◎

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2021	287483	Special Topics on Wireless Communications	1	3.0	3	★	HSIN-PIAO LIN	電子所 IEECSG	28	0	◎

Course Plan：

Instructor HSIN-PIAO LIN

Email hplin@en.ntut.edu.tw

Last Updated 2020-12-18 11:22:31

Course Objective 1. Introduction of multiple antenna system 2 . MIMO OFDM 3. 5G NR 4. Machine Learning and Deep Learning for Mobile Communications 5. UAV's communication and networking

Course Schedule 1 week Introduction 2 weeks MIMO techniques 2 weeks MIMO for LTE and Wi-Fi standards 3 weeks 5G NR issues 3 weeks UAV's communication and networking 2 weeks Machine Learning for Mobile Communications 2 weeks Deep Learning for Mobile Communications 3 weeks Final Project Presentations

Evaluation and grading policy Midterm Report: 40% Final Project: 60%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
Reference books: 1. A. F. Molisch, “Wireless Communication”, 2011, John Wiley & Sons, Ltd 2. T.S. Rappaport, “Wireless Communications”, 1996, Prentice Hall. 3. S.R. Saunders, “Antennas and Propagation for Wireless Communication Systems”, 1999, John Willey & Sons, LTD. 4. D.P. Agrawal, “Introduction to Wireless and Mobile Systems”, 2003, Thomson Learning, Inc.

Instructor	HSIN-PIAO LIN
Email	hplin@en.ntut.edu.tw
Last Updated	2020-12-18 11:22:31
Course Objective	1. Introduction of multiple antenna system 2 . MIMO OFDM 3. 5G NR 4. Machine Learning and Deep Learning for Mobile Communications 5. UAV's communication and networking
Course Schedule	1 week Introduction 2 weeks MIMO techniques 2 weeks MIMO for LTE and Wi-Fi standards 3 weeks 5G NR issues 3 weeks UAV's communication and networking 2 weeks Machine Learning for Mobile Communications 2 weeks Deep Learning for Mobile Communications 3 weeks Final Project Presentations
Evaluation and grading policy	Midterm Report: 40% Final Project: 60%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes Reference books: 1. A. F. Molisch, “Wireless Communication”, 2011, John Wiley & Sons, Ltd 2. T.S. Rappaport, “Wireless Communications”, 1996, Prentice Hall. 3. S.R. Saunders, “Antennas and Propagation for Wireless Communication Systems”, 1999, John Willey & Sons, LTD. 4. D.P. Agrawal, “Introduction to Wireless and Mobile Systems”, 2003, Thomson Learning, Inc.