無人機網路與通訊
UAV Networks and Communications
| 節 | 週一 |
|---|---|
A 18:30–19:20 | 無人機網路與通訊 ED103 3 節連堂 |
B 19:30–20:20 | |
C 20:30–21:20 |
* 根據陽明交大上課時間表所列
本課程將講解無人機產業發展趨勢。課程首先以無人機系統需求框架,評估分析無人機於通訊與網路應用的挑戰性;接著介紹各類人工智慧、機器學習相關演算法以及以開發可適應多元應用的無人機通訊系統 與網路。 This course focuses on the communications and networking aspects of UAVs aiming to provide the fundamental knowledge needed to pursue research in the field. This course covers the foundational concepts of the topics, as well as offering a detailed insight into the state-of-the-art in UAVs and UAV networks, discussing the regulations, policies, deployments, performance issues. We will also introduce artificial intelligence and machine learning for versatile application scenario for UAV communications networks.
1. Digital Communications 2. Computer Networks
1. assignments: 20% 2. Mid-Term: 30% 3. Final Exam 30% 4. Project 20%
| 週次 | 主題 |
|---|---|
| 第 1 週 | 1. Introduction to UAV Systems |
| 第 2 週 | 2. Air-to-Ground Communications |
| 第 3 週 | 3. Aerial Wi-Fi Networks |
| 第 4 週 | 4. Disruption-Tolerant Airborne Networks and Protocols |
| 第 5 週 | 5. UAV Regulatory and Technical Challenges |
| 第 6 週 | 6. Security in UAV Network |
| 第 7 週 | 7. UAV Aerial Base Stations |
| 第 8 週 | 8. Performance Analysis for UAV Communications Systems |
| 第 9 週 | 9. Mid-term |
| 第 10 週 | 10. Optimal Deployment for UAV Networks |
| 第 11 週 | 11. Resource Management for UAV |
| 第 12 週 | 12. Cognitive Radio for UAV |
| 第 13 週 | 13. Energy Management for UAV Aerial Base Station |
| 第 14 週 | 14. Mobility Management for UAV Aerial Base Station |
| 第 15 週 | 15. Artificial Intelligence for UAV |
| 第 16 週 | 16. Final Exam |
| 第 17 週 | |
| 第 18 週 |
1. UAV Networks and Communications K. Namuduri, S. Chaumette, J. H. Kim, and J. P. G. Sterbenz, Cambridege University Press, 2018 ISBN 978-1-107-11530-9 2. Handbook of Unmanned Aerial Vehicles, Kimon Valavnis, George J. Vachtsevanos, Springer 2015 (ISBN 978-90-481-9708-8) 3. Key Technologies for 5G Wireless Systems, Vincent W. S. Wong, Robert Schober, Derrick Wing Kwan Ng, Li-Chun Wang, Cambridge University Press 2017.
- 地點
- ED 804 / MIRC 516
- 聯絡方式
- wang@nycu.edu.tw