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Deep Learning for Wireless

This workshop introduces the application of deep learning techniques to wireless communication systems.


Workshop Details

  • Duration: 3–5 Days
  • Mode: Hands‑On / Lab‑oriented
  • Audience: Students, Researchers, PhD Scholars

Topics Covered

  • Introduction to AI/ML for wireless
  • Dataset generation from SDRs
  • ML‑based channel estimation
  • AI‑assisted PHY and MAC
  • Reinforcement learning for resource allocation

Platforms Used

  • SDR‑based testbeds
  • Deep Radio framework
  • Python‑based ML pipelines