RAN1 / #124bis / FS_6G_Radio / Verify

Spreadtrum · 10.5.3.2

Aspects of uplink-based CSI acquisition · RAN1#124bis · Source verification
the AI's delta refined vs RAN1#124
Spreadtrum added proposals for TD-OCC for capacity enhancement and ZP SRS for CJT interference mitigation via reserved non-transmitted REs in PUSCH—neither appeared in their prior position. Their AI/ML position hardened with quantitative SGCS gains (7.5-17.9%) replacing the earlier qualitative prioritization of Sub-case A, and added the argument that only minor SRS configuration changes are needed. Their earlier cross-slot SRS feature proposal beyond 14 symbols for CSI acquisition and velocity estimation in sensing, and the simplified single-step offset indication for aperiodic SRS timing are dropped. The {1,2,3,4} port limitation, Zadoff-Chu sequence reuse, unified uplink RS design, and AI-based antenna switching as NW implementation with no spec impact are preserved. Their earlier antenna switching/codebook/non-codebook/beam management usage set retention is now explicit.
AI-synthesized from contributions · all text is paraphrased
Every position summary on this site is generated by an AI from the actual Tdoc contributions. This page shows you the exact source documents the AI read to produce the summary above, so you can verify it yourself. Click any Tdoc ID to view its detail page, or click "3gpp.org ↗" to read the original on the official 3GPP server.

Contributions at RAN1#124bis · 1 doc

R1-2601815 discussion not treated 3gpp.org ↗
Discussion on aspects of uplink-based CSI acquisition for 6GR
Position extracted by AI
Spreadtrum recommends focusing 6GR Day1 SRS design on {1,2,3,4} antenna ports rather than >8 ports, citing lack of commercial 8-port device deployment despite NR Rel-18 support. They propose reusing NR baselines including Zadoff-Chu sequences, periodic/SP/aperiodic time-domain behavior, and the antenna switching/codebook/non-codebook/BM usage set. They present technical case for studying TD-OCC for capacity enhancement, ZP SRS for CJT interference mitigation via reserved non-transmitted REs in PUSCH, and unified uplink RS design for integrated communication and sensing. On AI/ML, they argue AI-based SRS antenna switching is purely NW implementation with no spec impact, while AI-based SRS frequency hopping overhead reduction shows 7.5-17.9% SGCS gain and requires only minor SRS configuration changes.
Summary
This Spreadtrum contribution presents 14 proposals and 4 observations on 6G SRS design, addressing antenna port configurations, transmission schemes, AI-based overhead reduction, and integration with sensing. The document covers baseline SRS features inherited from NR alongside new study areas for 6GR including wideband transmission, cross-slot operation, and ZP SRS for CJT interference mitigation.

Prior contributions at RAN1#124 · 1 doc · Feb 09, 2026

R1-2600120 discussion not treated 3gpp.org ↗
Discussion on aspects of uplink-based CSI acquisition for 6GR
Position extracted by AI
Spreadtrum proposes limiting 6GR Day1 SRS study to {1,2,3,4} antenna ports, noting 8-port devices lack commercial deployment despite NR support. They recommend reusing Zadoff-Chu sequences as the SRS baseline and studying cross-slot SRS features beyond 14 symbols for both CSI acquisition and velocity estimation in sensing. For AI-based SRS, they argue antenna switching enhancement should remain NW implementation without spec impact (Observation-2), while prioritizing frequency hopping overhead reduction with Sub-case A where the NW-side model predicts full-bandwidth channel information from sparse SRS transmissions. They prefer a unified uplink RS design aggregating communication, positioning, and sensing functions, and propose studying simplified single-step offset indication for aperiodic SRS timing determination.
Summary
This document from Spreadtrum presents 10 proposals and 4 observations regarding 6G SRS design, covering antenna port support, AI-based overhead reduction, and unified sensing/communication RS design for 6GR Day1 study.
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 Spreadtrum's consolidated stance at RAN1#124bis against their stance at RAN1#124 and classified the change as refined. Always verify critical claims against the original Tdocs linked above.