Company
Nokia
6 contributions across 1 work items
6
Tdocs
1
Work items
Recent contributions
Reply on AIML data collection
This document is a reply from SA5 to TSG RAN regarding AI/ML data collection mechanisms for NR Air Interface. It outlines existing SA5-defined collection methods (MDT, NG-RAN UE measurements, QoE) and analyzes their relevance to four…
AI/ML for Beam Management
Nokia presents a comprehensive technical document with 22 proposals and 7 observations addressing AI/ML for beam management in 5G NR, covering both UE-sided and NW-sided models for spatial (BM-Case1) and temporal (BM-Case2) beam…
AI/ML for Positioning Accuracy Enhancement
Nokia's comprehensive technical document on AI/ML for positioning accuracy enhancement presents 51 detailed proposals and 11 observations covering performance monitoring, training-inference consistency, data collection, and inference…
AI/ML for CSI Prediction
Nokia presents simulation results demonstrating robustness of their AI/ML CSI predictor against training/inference mismatches and proposes leveraging Release 18 non-AI/ML CSI prediction framework for AI/ML-based CSI prediction. The…
AI/ML for CSI Compression
Nokia's contribution analyzes AI/ML for CSI compression, focusing on inter-vendor training collaboration across three directions (A, B, C) and proposes deprioritizing Directions B and C while advancing Direction A. The document presents 6…
Other aspects of AI/ML for two-sided model
Nokia's contribution analyzes model identification and transfer/delivery aspects for two-sided AI/ML CSI compression use cases in 5G NR, presenting 5 observations and 2 proposals on how different inter-vendor collaboration options map to…