Deep learning for physical layer wireless communication networks and sensing

This talk discusses radio propagation channel characteristics and modeling approaches from below 6 GHz to the millimeter wave and THz spectrum bands, with a focus on AI/ML opportunities. The talk highlights advances in modeling the spatial and temporal nature of radio channels, including the impact of antenna patterns and received signal envelopes of received signals, thereby offering insights into phenomena that can be used in learning models for artificial intelligence (AI) to predict signal behavior in real-world channels. Special emphasis is given to the relatively new Two-Wave With Diffuse Power (TWDP) distribution that encompasses Raleigh and Rician fading as special cases, and repeatable measured phenomenon of diffraction effects when a receiver encounters an object that physically begins to block a radio path. New approaches that learn the directions of arrivals and the extent of multipath from simple narrowband envelope measurements, and how to optimize and learn channel behaviors from ray tracing are also presented, thus offering insights into promising ML/AI approaches to physical layer prediction and learning.

Speakers:
Theodore S. Rappaport
Professor
New York University
Moderator(s):

Thomas Basikolo
Programme Officer
International Telecommunication Union (ITU)

Join the Neural Network!
👉https://aiforgood.itu.int/neural-network/
The AI for Good networking community platform powered by AI.
Designed to help users build connections with innovators and experts, link innovative ideas with social impact opportunities, and bring the community together to advance the SDGs using AI.

🔴 Watch the latest #AIforGood videos!
https://www.youtube.com/c/AIforGood/videos

📩 Stay updated and join our weekly AI for Good newsletter:
http://eepurl.com/gI2kJ5

🗞Check out the latest AI for Good news:
https://aiforgood.itu.int/newsroom/

📱Explore the AI for Good blog:
https://aiforgood.itu.int/ai-for-good-blog/

🌎 Connect on our social media:
Website: https://aiforgood.itu.int/
Twitter: https://twitter.com/AIforGood
LinkedIn Page: https://www.linkedin.com/company/26511907
LinkedIn Group: https://www.linkedin.com/groups/8567748
Instagram: https://www.instagram.com/aiforgood
Facebook: https://www.facebook.com/AIforGood

What is AI for Good?
We have less than 10 years to solve the UN SDGs and AI holds great promise to advance many of the sustainable development goals and targets.
More than a Summit, more than a movement, AI for Good is presented as a year round digital platform where AI innovators and problem owners learn, build and connect to help identify practical AI solutions to advance the United Nations Sustainable Development Goals.
AI for Good is organized by ITU in partnership with 40 UN Sister Agencies and co-convened with Switzerland.

Disclaimer:
The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU. .