Deep Learning for 6G Wireless Communications

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Target Audience

Faculty, Students, Researchers, Industry Professionals

Duration

5 Hours (300 mins)

Mode of Delivery

Hybrid

Overview

Explore how deep learning methods propel 6G wireless, tackling physical layer enhancements, spectrum efficiency, and advanced modulation.

Detailed Topics & Subtopics:

  • 6G Vision & Physical Layer Challenges (30 min)
  • Deep Learning Architectures (30 min)
  • Channel Estimation and Equalization (50 min)
  • Advanced Modulation Recognition (40 min)
  • Spectrum Sensing with Neural Networks (40 min)
  • Practical Lab: Simulation in Python (50 min)
  • Q&A, Discussion (20 min)
  • Review & Further Directions (40 min)

Learning Outcomes

  • Understand 6G physical layer needs.
  • Construct DL models for communication tasks.
  • Analyze DL-based signal processing successes.

Further Learning

  • Read research papers on “DL in 6G”.
  • Workshops on deep learning for signal processing.

Frequently Asked Questions (FAQs)

1. Who can join this workshop?

Anyone interested in learning how AI can be applied to 5G networks — including students, faculty, researchers, and professionals.

2. Do I need any special background?

A general interest in technology is enough. Some basic knowledge of networks or AI is helpful, but not mandatory.

3. How long is the course?

The total course duration is just 5 hours, delivered through live online sessions.

4. Is it online or in-person?

It will be delivered in hybrid mode - you can attend either online or on-site.

5. What can I expect to gain?

You’ll learn how AI is being used in modern networks, explore real-world examples, and get hands-on experience with basic tools and datasets.

Registration

Workshop Form