6G Talk - Towards Intelligent 6G: How AI is Transforming the Radio Access Network

Key Highlights:

• AI/ML for sub-THz physical layer and hybrid transceiver systems
• Neural demapping, probabilistic constellation shaping, and GRAND decoding
• Energy-aware distributed MIMO with antenna muting
• Beyond-diagonal RIS and SIM-assisted multi-user MISO systems
• Low-complexity digital predistortion for power amplifiers
• Machine-type communication and sparse user detection
• Integrated sensing and communications (ISAC) with beamforming
• LiDAR-aided beam prediction and dynamic digital twins for predictive 6G applications

Chapters
00:00 – Introduction: Towards intelligent 6G RAN
01:00 – AI/ML applications from toy encoder to ML-as-a-service
01:40 – AI/ML for sub-THz physical layer and hybrid transceivers
02:20 – Constellation shaping and neural demapping
02:50 – GRAND decoding with probabilistic constellation shaping
03:20 – Spiking neural networks for energy-efficient demapping
04:00 – Distributed MIMO: resource allocation in cell-free systems
04:50 – Energy savings through antenna muting in MIMO
05:20 – RIS systems with reflection modulation
06:00 – Learning-based RIS and beyond-diagonal RIS designs
06:40 – SIM-assisted multi-user MISO with reduced pilot overhead
07:00 – Low-complexity digital predistortion for power amplifiers
08:00 – Machine-type communication and sparse user detection
09:00 – User detection in indoor factory scenarios
10:00 – Integrated sensing and communications (ISAC) beamforming
10:40 – Multi-user detection and robust beamforming
11:00 – LiDAR-aided beam prediction for mmWave and sub-THz
11:40 – LiDAR-enabled dynamic digital twins for predictive 6G
12:20 – AI-RAN lab and future research plans