Course Overview
This course equips students with machine learning (AI) and wireless communication algorithm design capabilities, covering 5G, B5G, and 6G communication systems. Students gain hands-on experience implementing communication algorithms in 5G and O-RAN small base stations on FPGA/RFSoC platforms, mastering cross-domain skills spanning theory, algorithms, and hardware implementation.
Prerequisites
- Wireless and Digital Communications
- Computer Networks
- Machine Learning / Deep Learning
Weekly Schedule
| Wk | Date | Topic | Resources |
|---|---|---|---|
| 1 | Feb 25 | Introduction |
💻 Example 🔬 Simulator |
| 2 | Mar 4 | Channel Modelling, Estimation, and Compression I - Statistical Analysis Rician Fading |
💻 Example 🔬 Simulator |
| 3 | Mar 11 | Channel Modelling, Estimation, and Compression II |
💻 Example 🔬 Simulator |
| 4 | Mar 18 | Learning Receiver Design: Signal Detection & Channel Decoding I |
💻 Example 🔬 Simulator under maintenance |
| 5 | Mar 25 | Learning Receiver Design: Signal Detection & Channel Decoding II |
💻 Example 🔬 Simulator under maintenance |
| 6 | Apr 1 | End-to-End Learning of Wireless Communication Systems I - Micro-Doppler Shift and Its Estimation (in UAV) |
💻 Example 🔬 Simulator |
| 7 | Apr 8 | End-to-End Learning of Wireless Communication Systems II - CP OFDM in RFSoC |
💻 Example 🔬 Emulator: RFSoC |
| 8 | Apr 15 | Learning Resource Allocation in Wireless Networks I |
💻 Example 🔬 Simulator |
| 9 | Apr 22 | Mid-Term Proposal Midterm Learning Resource Allocation in Wireless Networks II |
— |
| 10 | Apr 29 | Wireless for AI: Distributed and Federated Learning I |
💻 Example 🔬 Simulator |
| 11 | May 6 | Wireless for AI: Distributed and Federated Learning II |
💻 Example 🔬 Simulator |
| 12 | May 13 | Collaborative Learning over Satellite Communications (NTN) - Federated Learning |
💻 Under maintenance 🔬 Simulator |
| 13 | May 20 | Optimized Federated Learning in Wireless Networks with Constrained Resources | - |
| 14 | May 27 | Quantized Federated Learning & Over-the-Air Computation for Distributed Learning | - |
| 15 | Jun 3 | Federated Knowledge Distillation, Differential Privacy & Timely Wireless Edge Inference | - |
| 16 | Jun 10 | Final Paper Presentation Final | — |
Teaching Assistants
Textbooks & References
-
1
Wireless Communications and Machine Learning
L. Liang, S. Jin, H. Ye & G. Y. Li — Cambridge University Press, 2026
🔗 Online Book -
2
Machine Learning for Future Wireless Communications
F. L. Luo — Wiley / IEEE Press, 2020 -
3
Key Technologies for 5G Wireless Systems
Wong, Schober, Ng & Wang — Cambridge University Press, 2017
🔗 Online Book -
4
-
5
Shaping Future 6G Networks: Needs, Impacts, and Technologies
John Wiley & Sons, 2021