Role of AI/ML in 6G RAN - B6GS 2024

In recent weeks, I’ve been sharing quite a few posts on the role of AI/ML in shaping the future of wireless networks, particularly for 5G and 6G. Just a couple of weeks ago, I wrote about the Brooklyn 6G Summit (B6GS), a standout event in this space. Today, I’m excited to share one of the panel sessions from B6GS that dives into a fascinating topic: The Role of AI/ML in 6G RAN.

The session opens with a concise and insightful presentation by Taesang Yoo, Senior Director of Technology at Qualcomm. Taesang leads Qualcomm’s wireless AI/ML research and development efforts for 5G/6G system design and contributes to 3GPP air-interface standards. His talk sets the stage for understanding how AI and ML are poised to revolutionise the Radio Access Network (RAN) in 6G.

Following this, we hear from Tim O’Shea, CTO of DeepSig, in a talk titled Accelerating the Air Interface in 5G and 6G using AI/ML. Here’s the abstract from Tim’s presentation:

Machine learning holds tremendous potential to enhance performance-critical wireless functions, improving both spectral and energy efficiency. In this talk, we explore how AI/ML is currently making inroads in 5G, 5G Advanced, and 6G systems. I’ll share what we’ve been working on at DeepSig to accelerate this transformation—covering AI-driven spectrum sensing (OmniSIG), RAN Digital Twin modelling, and AI-native neural signal processing (OmniPHY). These innovations are already making an impact in 5G macro-cell and Massive MIMO systems, as well as in non-standardised wireless systems. Crucially, they also set the foundation for further performance improvements and new possibilities in our vision for 6G.

The session concludes with a vibrant panel discussion featuring the speakers mentioned above and a few other distinguished experts:

  • Salam Akoum, Expert Member of Technical Staff, AT&T
  • Harish Viswanathan, Head of Radio Systems Research, Nokia Bell Labs
  • Yoji Kishi, Executive Director, KDDI Research

The panel is expertly moderated by Jeffrey Andrews, the Truchard Family Endowed Chair in Engineering and Director of 6G at UT Austin. Together, they delve into the practical implications, challenges, and opportunities that AI/ML bring to RAN in the 6G era.

If you’re as intrigued by the intersection of AI/ML and next-generation wireless networks as I am, I highly recommend watching this session. It’s a compelling glimpse into the future of connectivity!

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