Company
NVIDIA
5 contributions across 1 work items
5
Tdocs
1
Work items
Recent contributions
Specification support for AI-enabled beam management
NVIDIA presents a comprehensive framework for AI/ML-enabled beam management in 5G-Advanced, focusing on spatial (BM-Case 1) and temporal (BM-Case 2) downlink beam prediction. The document contains 11 proposals and 1 observation, advocating…
Specification support for AI-enabled positioning
NVIDIA presents a comprehensive framework for AI/ML-enabled positioning in 5G-Advanced, focusing on specification support for measurements, model lifecycle management, and data consistency. The document contains 1 observation and 9…
Specification support for AI-enabled CSI prediction
NVIDIA presents a technical contribution on specification support for AI-enabled CSI prediction, highlighting four key proposals and two observations regarding inference location, training/inference consistency, and post-deployment…
Additional study on AI-enabled CSI compression
NVIDIA argues that stochastic channel models are insufficient for demonstrating AI/ML CSI compression gains, proposing instead the use of site-specific models trained on data generated via ray tracing in defined reference scenarios. The…
Additional study on other aspects of AI model and data
NVIDIA argues for the necessity of deterministic, physics-based propagation modeling (specifically ray tracing) for accurate AI/ML data generation in 5G-Advanced and 6G. The document proposes concluding the need for model identification in…