Samsung · 8.1
Maintenance on Artificial Intelligence (AI)/Machine Learning (ML) for NR Air Interface ·
RAN1#124bis · Source verification
the AI's delta
new
vs RAN1#124
First tracked appearance at RAN1_124bis
AI-synthesized from contributions · all text is paraphrased
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Contributions at RAN1#124bis · 5 docs
Remaining issue on AI/ML for NR Air Interface
Position extracted by AI
Samsung argues that the current restriction requiring all resources in Set A to share the same periodicity is too restrictive and proposes relaxing this constraint to allow mixed periodicities. They contend that PDSCH rate-matching around virtual CSI-RS in Set A causes unnecessary resource waste and propose clarifying that such resources should not trigger rate-matching. Regarding PUCCH reporting, Samsung prefers zero-padding over configuration restrictions for RS-PAI payloads smaller than 3 bits, stating this approach aligns with NR design principles. They assert that restricting bullet A and B is acceptable given the limited size of Set A (up to 64 resources) and maximum NZP CSI-RS resource ID (192), but insist on relaxing bullet C to allow more flexible resource ID selection.
Summary
Samsung addresses remaining issues for AI/ML in the NR Air Interface, specifically focusing on beam management configuration restrictions and PUCCH reporting constraints. The document contains three proposals aimed at relaxing periodicity restrictions for Set A resources, clarifying PDSCH rate-matching behavior for virtual CSI-RS, and defining zero-padding for small RS-PAI payloads.
FL summary #0 for AI/ML in beam management
Position extracted by AI
Samsung proposes adopting zero-padding for RS-PAI payloads on PUCCH to resolve the incompatibility of 1-bit or 2-bit payloads with NR specifications. They support relaxing configuration restrictions for Set A resources, specifically allowing mixed time domain behaviors and excluding Set A-only CSI-RS from PDSCH rate-matching to improve spectral efficiency. Samsung endorses correcting the CPU occupation time definitions for UE-side data collection to accurately reflect periodic CSI report support. They also support clarifying the determination of updated AI/ML CSI reports based on CPU/APU availability to ensure correct prioritization and timeline adherence.
Summary
This document summarizes the remaining issues for UE-side AI/ML models in beam management, specifically focusing on CSI reporting for performance monitoring, model inference, and processing timelines. It presents approximately 15 distinct proposals and observations across three main technical areas, aiming to resolve specification ambiguities regarding payload sizing, resource rate-matching, and CPU/APU occupation rules.
FL summary #1 for AI/ML in beam management
Position extracted by AI
Samsung supports the majority view on zero-padding RS-PAI payloads to 3 bits for PUCCH transmission, arguing that padding after CSI multiplexing reduces overhead compared to per-report padding. They propose relaxing the configuration restriction for Set A resources to allow different time domain behaviors, enhancing flexibility for AI/ML inference configurations. Samsung requires clarification that CSI-RS resources configured only in Set A are not used for PDSCH rate-matching, thereby preventing unnecessary resource waste. They also support correcting the CPU occupation timeline for UE-side data collection to accurately include periodic CSI reports for beam management. Furthermore, Samsung argues for clarifying the determination of updated AI/ML CSI reports based on CPU and APU availability to ensure higher-priority reports are processed correctly.
Summary
This document summarizes the remaining issues and proposals for AI/ML-based beam management in NR Rel-19, specifically focusing on UE-side model performance monitoring, inference reporting, and processing timelines. It addresses critical specification gaps regarding PUCCH payload sizes for RS-PAI, PDSCH rate-matching around virtual CSI-RS resources, and CPU/APU occupation rules. The document records agreements reached in RAN1#124bis, including the adoption of zero-padding for small RS-PAI payloads and corrections to CPU occupation timelines for data collection.
Correction on AI/ML for beam management in TS38212
Position extracted by AI
Samsung, NEC, and LG propose a correction to TS 38.212 to resolve an unsupported payload size issue for AI/ML beam management. They identify that for P/SP CSI reporting on PUCCH for performance monitoring, the RS-PAI information bit count may fall below 3 bits. Since NR specifications do not support PUCCH carrying 1 or 2 information bits for CSI (excluding HARQ-ACK/SR), they require that the number of information bits of the related CSI be zero-padded to 3 bits. This ensures compatibility with existing PUCCH format constraints while enabling the transmission of AI/ML-related CSI reports.
Summary
This document contains a single Change Request (CR-0246) submitted by Samsung, NEC, and LG to correct a specification gap in TS 38.212 regarding AI/ML beam management. The proposal addresses the issue where P/SP CSI reporting on PUCCH for performance monitoring may result in an RS-PAI payload of 1 or 2 bits, which is unsupported by current NR specifications for PUCCH formats other than HARQ-ACK/SR.
Correction on AI/ML for beam management in TS38214
Position extracted by AI
Samsung, as moderator, proposes a correction to TS 38.214 Section 5.2.1.6 to accurately reflect RAN1 agreements on CPU processing criteria for AI/ML beam management. They require the inclusion of periodic CSI reports for UE-side data collection, which are currently missing from the specification. They define specific CPU occupation windows for semi-persistent, aperiodic, and 'none-csi-r19' report quantities based on CSI-RS/SSB resource symbols and PDCCH triggering. They argue that without this change, UE behavior for CPU duration during data collection for training would be incorrect.
Summary
This document presents a single Change Request (CR 0751) to correct the CPU processing duration specifications for UE-side data collection in AI/ML beam management within TS 38.214. It addresses an omission in the current Release 19 specification regarding periodic CSI reports for beam management, ensuring accurate CPU occupation timing definitions.
Prior contributions
Samsung has no prior contributions to 8.1 in the meetings currently tracked. This is either a new contributor to this sub-topic or the earliest meeting in our history.
How this was derived
The AI extracted the "position extracted" field above directly from each Tdoc during summarization.
For the delta summary at the top, the AI compared Samsung's consolidated stance at RAN1#124bis
against their stance at RAN1#124 and classified the change as
new.
Always verify critical claims against the original Tdocs linked above.