FUTUREWEI · 10.5.3.3
Other aspects ·
RAN1#124bis · Source verification
the AI's delta
narrowed
vs RAN1#124
FUTUREWEI dropped its prior proposals on AI/ML MIMO framework integration from day-1, UMB support with advanced Tx/Rx technologies, CSI-RS/DMRS overhead reduction, hybrid antenna architecture, and one-shot beam acquisition via augmented antenna architecture — none of these appear in the current position. The multi-port TRS proposal was refined with a new technical argument citing specific degradation mechanisms: channel estimation performance degradation, SINR loss, and lower throughput tied explicitly to upper midband deployments where precoding discrepancy grows with array size. The prior mention of signaled or estimated precoding vector was simplified to UE applies a precoding vector.' Their early/on-demand tracking position hardened on the mandatory aspect: aperiodic TRS transmission is now required to follow the activation command, whereas the prior position listed aperiodic SSB as an optional alternative for tracking acquisition. The early CSI acquisition position was preserved but reframed as an optional advanced feature for capable UEs rather than the prior optional feature for early CSI acquisition before CONNECTED,' adding a UE-capability qualifier.
AI-synthesized from contributions · all text is paraphrased
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Contributions at RAN1#124bis · 1 doc
Other Aspects for CSI acquisition
Position extracted by AI
Futurewei proposes studying multi-port TRS as a QCL source to address precoding mismatch between single-port TRS and dynamically precoded DMRS/CSI-RS in massive MIMO systems, suggesting the UE applies a precoding vector to the multi-port TRS to form an effective 1-port TRS matching the target signal's precoding. They argue that the precoding discrepancy grows with array size, leading to channel estimation performance degradation, SINR loss, and lower throughput in upper midband deployments. The company also requires early/on-demand tracking acquisition to be a mandatory feature for fast SCell/SCC activation, with aperiodic TRS transmission following the activation command, while framing early CSI acquisition before CONNECTED as an optional advanced feature for capable UEs.
Summary
This document from Futurewei contains 2 main proposals addressing enhancements for CSI acquisition in 6G. It focuses on introducing multi-port TRS to improve QCL parameter derivation for massive MIMO and supporting early/on-demand tracking acquisition for fast SCell activation and CSI acquisition before CONNECTED mode.
Prior contributions at RAN1#124 · 1 doc · Feb 09, 2026
Other Aspects for CSI acquisition
Position extracted by AI
Futurewei proposes adopting the 5G NR MIMO/RS/CSI framework as a baseline for 6G, arguing it provides a complete set of essential functionalities without needing fundamental paradigm shifts. They propose studying multi-port TRS as a QCL source for DL transmissions using massive MIMO, where a UE applies a signaled or estimated precoding vector to received multi-port TRS to form an effective single-port TRS that matches the precoding of target DMRS/CSI-RS, reducing channel estimation degradation from precoding mismatch. They propose supporting early/on-demand tracking acquisition via aperiodic TRS (and optionally aperiodic SSB) as a mandatory feature for fast SCell/SCC activation and an optional feature for early CSI acquisition before CONNECTED. They propose integrating AI/ML into the MIMO framework from day-1 of 6G with discussion of high-level principles and identification of a few use cases. They propose studying UMB support including advanced Tx/Rx technologies, overhead reduction for CSI-RS/DMRS, and hybrid antenna architecture, and studying fast beam acquisition via augmented antenna architecture for one-shot beam acquisition.
Summary
Futurewei presents 5 proposals and 1 observation on 6G MIMO/RS/CSI framework design for the FS_6G_Radio study, arguing for an evolutionary approach building on 5G NR with targeted enhancements for upper midband, AI/ML integration, multi-port TRS, and early tracking acquisition.
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 FUTUREWEI's consolidated stance at RAN1#124bis
against their stance at RAN1#124 and classified the change as
narrowed.
Always verify critical claims against the original Tdocs linked above.