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Summary of Agreements by Topic

Traffic Model

1. General Traffic Model:
• Statistical models are adopted for XR and Cloud Gaming (CG) evaluations.
• Packet size distribution, arrival intervals, and QoS requirements are defined for DL and UL streams.
• Jitter modeling is required and considered in simulations.
• Truncated Gaussian distribution is used for packet size modeling.
2. Multi-Stream Evaluations:
• A UE is declared satisfied if each stream meets PER and PDB requirements.
• Separate streams for I-frame and P-frame are evaluated optionally, with alpha values (e.g., 1.5, 2.0) and reference cases defined.
3. Dual-Eye Buffer:
• Separate packet arrivals for dual-eye buffer are optionally evaluated by doubling packet arrival rates and halving packet sizes.
4. UL Traffic Model:
• Pose/control traffic is modeled periodically (4ms interval, 100 bytes, 10ms PDB).
• AR UL video streams are modeled with periodicity (60 fps), data rates (10 Mbps baseline), and PDB values (30ms baseline).

Evaluation Methodology

1. Capacity Evaluation:
• Baseline capacity for AR, VR, and CG applications in FR1 and FR2 is evaluated.
• Observations include lower capacity in urban macro scenarios compared to dense urban and indoor hotspot scenarios.
2. Power Consumption Evaluation:
• UE power consumption is evaluated for baseline and power-saving schemes.
• Linear interpolation for Tx power values other than 0 dBm and 23 dBm is encouraged.
• Power-saving gains are reported for satisfied UEs and all UEs.
3. Coverage Evaluation:
• Coverage is defined as the A-percentile point in the CDF of coupling gain for satisfied UEs.
• Coupling gain includes antenna gains, path loss, shadowing, and indoor/body loss.
4. Mobility Evaluation:
• Mobility performance is evaluated analytically based on HO interruption time, packet loss, and minimum target time intervals between HO events.
• Metrics include consecutive XR packets lost due to HO events and target time intervals.

Performance Metrics

1. KPIs:
• Percentage of satisfied UEs, CDF of packet error ratio, latency, user-perceived throughput, and resource utilization are considered.
• System capacity is defined as the maximum number of users per cell with at least X% of UEs satisfied (baseline X=99%).
2. Packet Loss Handling:
• Packets exceeding PDB are considered lost and added to PER.
• Options for handling such packets include delivery to the other side or discarding at the transmitter.

Deployment Scenarios

1. Indoor Hotspot:
• FR1 and FR2 deployments with specific channel models (InH) and simulation assumptions.
2. Dense Urban:
• FR1 and FR2 deployments with UMi/UMa channel models.
3. Urban Macro:
• Evaluated optionally for FR1 with specific BS height and downtilt values.

Enhancements

1. Capacity Enhancements:
• Observations on capacity performance with different parameters (e.g., data rate, PDB/PER, multi-stream traffic).
2. Power Enhancements:
• Power-saving techniques such as CDRX configurations, PDCCH skipping, and BWP adaptation are considered.
3. Mobility Enhancements:
• Analytical evaluation of mobility performance with simplified assumptions.
4. Coverage Enhancements:
• Alternate methods for coverage evaluation are proposed, including single UE drops and coupling gain analysis.

Conclusions

1. Baseline Observations:
• 5G NR can support AR, VR, and CG applications for evaluated cases and scenarios.
• Urban macro scenarios show lower capacity, especially for AR applications with UL video.
2. Recommendations:
• Further study and enhancement of capacity and UE power consumption performance for XR and CG applications are recommended.

This summary captures the extensive agreements across traffic models, evaluation methodologies, performance metrics, deployment scenarios, enhancements, and conclusions for XR evaluations in NR.