Company
OPPO
14 contributions across 1 work items
14
Tdocs
1
Work items
Recent position changes
AI-synthesized from contributions · all text is paraphrased
New positions this meeting
- 9.1.2 — Opposes phase information reporting, proposes using associated ID for consistency, and argues against dedicated enhancements for performance monitoring without ground-truth labels.
- 9.1.3 — Argues no consistency issue for UE-sided CSI prediction, rendering associated ID unnecessary. Prioritizes UE-side data collection. Supports reusing Rel-18 MIMO frameworks. Opposes Type 2, proposes average NMSE for Type 3 with configurable averaging.
Recent contributions
On specification for AI/ML-based beam management
OPPO presents a comprehensive set of proposals for AI/ML-based beam management in NR Rel-19, covering both NW-side and UE-side models for BM-Case 1 and BM-Case 2. The document contains approximately 35 distinct proposals and observations,…
On specification for AI/ML-based positioning accuracy enhancements
OPPO submits 33 proposals and 3 observations regarding specification impacts for AI/ML-based positioning accuracy enhancements in Rel-19, covering measurement enhancements, training/inference consistency, data collection, model inference,…
On specification for AI/ML-based CSI prediction
OPPO presents 13 proposals and 2 observations regarding AI/ML-based CSI prediction, arguing that UE-sided models face no consistency issues and prioritizing UE-side data collection over NW-side model transfer. The document proposes reusing…
On specification for AI/ML-based beam management
OPPO's technical document on AI/ML-based beam management for 3GPP RAN1 contains comprehensive responses to RAN2 liaison questions and presents 50+ technical proposals covering NW-side and UE-side model inference, training, monitoring, and…
On specification for AI/ML-based positioning accuracy enhancements
OPPO's technical document presents a comprehensive analysis of AI/ML-based positioning accuracy enhancements for NR Release 19, covering five positioning cases (Case 1, 2a, 2b, 3a, 3b) with 26 detailed proposals and 3 observations…
On specification for AI/ML-based CSI prediction
OPPO proposes solutions for ensuring consistency between training and inference phases in AI/ML-based CSI prediction for NR air interface, addressing both intra-cell and inter-cell scenarios. The document contains 5 proposals and 3…
Additional study on AI/ML-based CSI compression
OPPO presents analysis on inter-vendor collaboration approaches for AI/ML-based CSI compression, evaluating multiple directions and options for standardization. The document contains 17 proposals and 5 observations covering reference model…
Additional study on other aspects of AI/ML model and data
OPPO's study document on AI/ML model identification and data management proposes 9 key technical proposals covering model identification procedures, lifecycle management approaches, and model transfer mechanisms for 3GPP Release 19 NR air…
Discussion on LS on applicable functionality reporting for beam management UE-sided model
This OPPO document addresses RAN2's liaison statement on UE-side model inference for beam management, proposing 10 specific answers to technical questions about the 6-step functionality-based lifecycle management procedure. The document…
Draft reply on LS on applicable functionality reporting for beam management UE-sided model
This is a liaison statement from RAN1 (OPPO) responding to RAN2's questions about AI/ML beam management UE-sided model functionality reporting for Release 19. The document provides detailed replies to 10 questions covering UE capability…
Summary #1 for other aspects of AI/ML model and data
This 3GPP RAN1 document (R1-2410775) from OPPO serves as a moderator summary for AI/ML model and data aspects in Rel-19, containing approximately 20+ proposals across model identification, training data collection, and model…
Summary #2 for other aspects of AI/ML model and data
This OPPO-moderated document presents a comprehensive summary of AI/ML model identification, training data collection, and model transfer/delivery discussions for RAN1 #119, containing over 40 proposals across multiple technical areas. The…
Summary #3 for other aspects of AI/ML model and data
This OPPO-moderated document (R1-2410777) presents a comprehensive summary for RAN1 agenda item 9.1.4.2 on AI/ML model and data aspects, containing 31 proposals and 15 observations covering model identification procedures, training data…
Summary #4 for other aspects of AI/ML model and data
This 3GPP RAN1 technical document from OPPO summarizes discussions on AI/ML model and data aspects for NR air interface, containing approximately 30 proposals across model identification, training data collection, and model…