Nokia · 10.4

Nokia proposes that single baseband components can handle Set 4's 256 Tx/Rx RUs in practice, supporting CAT 2.1 transition times identical to Sets 1-3 (2s deep sleep, 100ms light sleep) with higher transition energies (6300/210). They require the 6G BS CAT 2.1 and 5G BS CAT 2 to share a common deep sleep absolute power normalization level for meaningful comparison. For spatial domain antenna adaptation, Nokia proposes focusing only on data channels for RRC-connected UEs, opposes introducing new power states, and argues against scaling P_static based on Tx/Rx RU count. They present a technical case for SBFD BS power being modeled as the sum of a full TDD BS plus a second dedicated UL reception component requiring double hardware except PAs and TDD switches. On UE power, they oppose applying bandwidth/RX scaling to light sleep, propose lower-bounding micro-sleep at 30 power units, and recommend specific scaling factors for SSB (0.85 for single SSB) and PDCCH BD candidate reduction (0.9). For WUS, they propose reducing assumed CFO inaccuracy from 5ppm to ~1ppm based on SSS availability.

Nokia proposes adopting the 5G BS power consumption model (TR38.864 Category 2) as the 6G baseline while defining a new 'Category 2-plus' category with 10-20% relative power improvements across sleep and active states, plus faster transition times (light sleep 640ms→100ms, deep sleep 10s→5s) with common deep sleep normalization to enable meaningful 5G/6G comparison. They propose reusing the 5G scaling framework where only active-state dynamic power scales while static power remains fixed at P3 or 1.5*P3. For UE power saving, they propose supporting two adaptation delay values with T in {≥1ms, ≤5ms} and omit adaptation interruption in TDD, and present scaling factors for PDCCH+PDSCH, PDCCH-only, and micro-sleep slots across bandwidth utilization ratios from 5% to 400%. They require CFO inaccuracy of ~1ppm for WUS reception assuming SSS availability, arguing that 5ppm would impair coherent combining, and restrict WUS RX chains to 1 during ultra-deep/deep sleep states. For idle-mode WUS design, they argue the number of monitoring occasions (MOs) must be optimized as a function of subgroups to mitigate false wake-up probability.