Company
Panasonic
5 contributions across 1 work items
5
Tdocs
1
Work items
Recent contributions
Discussion on specification support for beam management
Panasonic discusses specification support for AI/ML-based beam management in Rel-19, focusing on model training, inference, consistency, and performance monitoring for both NW-sided and UE-sided models. The document contains 13 proposals…
Discussion on specification support for beam management
Panasonic's technical document for 3GPP RAN1 discusses AI/ML-based beam management for NR air interface, presenting 12 detailed proposals covering UE-side and NW-side model inference, consistency mechanisms, and performance monitoring. The…
Discussion on other aspects for AI/ML for air interface
Panasonic proposes 3 key concepts for AI/ML air interface framework: MNO responsibility for associated ID management, consistency scope within MNO boundaries, and dataset association representation through ID-X. The document addresses…
Discussion on consistency of training / inference for AI/ML-based CSI prediction
Panasonic presents their view on ensuring consistency between training and inference for AI/ML-based CSI prediction in NR, focusing on UE-side model development and proposing solutions for handling network-side additional conditions. The…
Discussion on AI/ML for CSI compression
Panasonic's technical document presents their comprehensive view on AI/ML-based CSI compression for 5G NR, containing 5 proposals and 29 observations covering inter-vendor collaboration approaches, temporal domain aspects, and…