Qualcomm

Qualcomm's discussion document addresses RAN2's liaison statement questions about applicable functionality reporting for beam prediction in UE-sided AI/ML models. The document contains no formal proposals but provides detailed technical…

This Qualcomm document presents 19 proposals and 3 observations for AI/ML-based beam management in 5G NR, focusing on ensuring consistency between training and inference phases for UE-side models, performance monitoring mechanisms, and…

Qualcomm presents a comprehensive technical document for AI/ML-based positioning accuracy enhancement in 5G NR, containing 31 proposals and 34 observations spanning positioning integration, model training/inference consistency, data…

This Qualcomm document proposes introducing associated IDs to ensure consistency between training and inference phases for AI/ML CSI prediction with UE-side models. The document contains 2 formal proposals and 4 observations focused on…

Qualcomm's comprehensive technical document on AI/ML-based CSI compression for two-sided models presents 25 proposals and 22 observations covering inter-vendor collaboration, model performance monitoring, inference aspects, and complexity…

Qualcomm's contribution to RAN1 meeting #119 discusses AI/ML model identification and transfer/delivery aspects for NR air interface. The document contains 2 main proposals focused on concluding current model identification work and…

This technical document from Qualcomm serves as a moderator summary for additional study on AI/ML-based CSI compression for NR air interface, containing over 120 proposals from various companies across temporal domain aspects, localized…

This 3GPP RAN1 technical document (Tdoc R1-2410720) presents a draft summary of AI/ML-based CSI compression studies, containing over 300 proposals from various companies covering temporal domain aspects, inter-vendor training…

This 3GPP RAN1 technical document (R1-2410721) from Qualcomm serves as the draft summary for AI/ML-based CSI compression study, containing over 100 company proposals across temporal domain aspects, inter-vendor collaboration, monitoring,…

This 3GPP RAN1 technical document (Tdoc R1-2410722) from Qualcomm presents a comprehensive draft summary on AI/ML for NR air interface CSI compression, containing approximately 120+ proposals across four major sections covering temporal…

This 3GPP RAN1 document from Qualcomm presents a comprehensive summary of AI/ML-based CSI compression study results with over 100 proposals from multiple companies covering temporal domain aspects, inter-vendor training collaboration,…

This 3GPP RAN1 document (R1-2410724) from Qualcomm serves as the final meeting summary for AI/ML-based CSI compression studies in Release 19, containing over 200 proposals from multiple companies across temporal domain aspects,…

This document from Qualcomm presents comprehensive evaluation results for AI/ML based CSI compression in NR air interface, containing 16 main observations across different test cases covering SGCS performance, FTP traffic, full buffer…

This liaison statement from Qualcomm/RAN1 to RAN2 requests feedback on standardized signaling feasibility for AI/ML-based CSI compression inter-vendor collaboration, specifically for sharing datasets and model parameters between…

This is a liaison statement from RAN1 to RAN2 requesting feedback on the feasibility of standardized signaling for sharing AI/ML model parameters and datasets between network and UE sides for two-sided CSI compression. The document…