Nokia · 10.5.2.2
Downlink transmission scheme(s) for downlink shared channels ·
RAN1#124bis · Source verification
the AI's delta
new
vs RAN1#124
Nokia enters the discussion at RAN1_124bis with a comprehensive position spanning multiple sub-areas. On DMRS, they propose raising the maximum orthogonal DMRS port count to 48 using a single scalable Comb-2 DMRS RE pattern, explicitly citing Rel-18 e-type 1 DMRS (UL) as baseline and supporting the choice with LLS results showing robustness in frequency-selective channels. On CW-to-layer mapping, they require revisiting the mapping to enable a second codeword from rank 2, and uniquely require revisiting MCS table design to decouple higher modulation orders from higher code rates as a layer imbalance mitigation approach. On AI/ML, they propose studying both sparse DMRS and DMRS-free transmissions within a unified 6G DMRS framework, specify end-to-end training with known transmitted sequences for all AI receiver options, and propose specific modular splits (non-AI channel estimation/equalization with AI-based demodulation) for receiver complexity reduction. They also propose maintaining 6GR PDSCH resource allocation compatibility with 5G NR to facilitate MRSS, with slot-contained PDSCH TDRA supporting flexible S and L, and defer DM-RS mapping type decisions pending 6G DM-RS design clarity.
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Contributions at RAN1#124bis · 1 doc
On downlink transmission schemes for downlink shared channels in 6GR
Position extracted by AI
Nokia proposes maintaining 6GR PDSCH resource allocation compatibility with 5G NR to facilitate MRSS, supporting slot-contained PDSCH TDRA with flexible S and L, and deferring DM-RS mapping type decisions pending 6G DM-RS design clarity. Nokia proposes raising the maximum number of orthogonal DMRS ports to 48, selecting a single DM-RS type with a scalable comb pattern, using Rel-18 e-type 1 DMRS (UL) as baseline, and specifically supporting Comb-2 DMRS RE pattern based on presented LLS results showing its robustness in frequency-selective channels. Nokia requires revisiting codeword-to-layer mapping to enable a second codeword from rank 2 and requires revisiting MCS table design to decouple higher modulation orders from higher code rates as layer imbalance mitigation. For AI/ML, Nokia proposes studying sparse DMRS and DMRS-free transmissions within a unified 6G DMRS framework, proposes using end-to-end training with known transmitted sequences for all AI receiver options, and proposes specific modular splits (non-AI channel estimation/equalization with AI-based demodulation) for receiver complexity reduction.
Summary
This Nokia contribution to 3GPP RAN1 #124-bis (FS_6G_Radio, Rel-20) provides a comprehensive technical stance on 6G downlink shared channels, covering PDSCH transmission schemes, resource allocation, DM-RS design, and AI/ML use cases. The document contains 21 Observations and 39 Proposals.
Prior contributions
Nokia has no prior contributions to 10.5.2.2 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
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For the delta summary at the top, the AI compared Nokia's consolidated stance at RAN1#124bis
against their stance at RAN1#124 and classified the change as
new.
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