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TR 26.926
Traffic Models and Quality Evaluation Methods for Media and XR Services in 5G Systems

V19.0.0 (PDF)  2025/03  84 p.
V18.2.0  2024/03  88 p.
Rapporteur:
Dr. Stockhammer, Thomas
Qualcomm CDMA Technologies

essential Table of Contents for  TR 26.926  Word version:  19.0.0

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List of Figures and Tables

Figure 5.1-1Simplified Architecture for XR end-to-end services
Figure 5.2.1-1General architecture and system model for XR Traffic
Table 5.3-1P-Trace format
Figure 5.4.1-1The principle for classification and User Plane marking for QoS Flows and mapping to AN Resources (see TS 23.501, Figure 5.7.1.5-1)
Figure 5.4.2-1Core Network Model
Figure 5.4.2-2Packet size and latency addition in core network model
Figure 5.4.3-1Packet Radio Network Model
Figure 5.5.1-1Content Modelling Approach
Figure 5.5.2-1V-Trace Generation
Table 5.5.3-1V-Trace Format
Figure 5.6.2-1Media Coding and Decoding Modelling
Table 5.6.3-1Example video encoding configuration
Table 5.6.4-1S-Trace Format
Table 5.6.4-2Frame-related metadata from encoding
Table 5.6.4-3V'-Trace Format
Figure 5.7.1-1Content Delivery Modelling
Figure 5.7.2-1Packet sizes and delays
Table 5.7.2-1Example Content Delivery sender configuration
Table 5.7.2-2Example Content Delivery receiver configuration
Figure 5.7.4-1Packet Generation for Application Layer FEC
Table 5.7.4-1Example Content Delivery sender configuration for Application Layer FEC
Table 5.7.5-1S'-Trace Format
Table 5.8.1-1Q-Trace Format
Figure 5.8.1-1Packet sizes and delays
Figure 6.2.1-1Split Rendering with Asynchronous Time Warping (ATW) Correction
Figure 6.3-1XR Split Rendering Simulation System
Table 6.4-1XR Split Rendering Recommended Configurations
Figure 6.5.1.2-1S-Trace Statistics for VR2-1
Figure 6.5.1.3-1S-Trace Statistics for initial VR2-7
Figure 6.5.1.3-2P-Trace Statistics for initial VR2-7
Figure 6.5.2-1VR2-3 Statistics
Figure 6.5.2-2VR2-4 Statistics
Table 6.5.3.1-1Statistical parameter values for dual eye buffer frame size (TR 38.838)
Table 6.5.3.1-2Frame size distribution deriving from the P-trace files
Figure 6.5.3.1-1The statistic of packet size by using the P-trace data from SA4
Table 6.5.3.2-1Jitter distribution deriving from the P-trace files
Figure 6.5.3.2-1The statistic of jitter from the P-trace files
Table 6.6-1Traces and configuration for P-file generation
Table 6.6-2Traces and configuration for P-file generation
Figure 7.2.1-1Cloud Gaming Reference Architecture
Table 7.2.2.7-1Online Gaming source properties
Figure 7.3-1Cloud Gaming Simulation System
Table 7.4-1Online Gaming source properties
Figure 8.2.1-1AR Conversational reference system as XR distributed compute system
Figure 8.2.1-2AR Conversational reference system
Figure 8.2.2-1Content formats for AR conversational
Table 8.2.2-1Considered content formats and properties
Figure 9.1-1Viewport-dependent Streaming defined in TR 26.928
Figure 9.2.5-1Overview of latency factors in a Tiled VR Streaming system
Figure 9.2.5-2Caching Process for VR Streaming
Table A.2.1-1Bitrates and resulting quality for different configurations
Table A.2.1-2Bitrate decrease per CRF/QP increase
Table A.2.1-3Bitrate decrease per CRF/QP increase
Table A.2.1-4Bitrate increase for 60 fps vs. 30fps
Listing A.2.4-1Content Encoding per frame
Listing A.2.5-1Rate Control Modelling
Figure A.3.1-1Content Delivery, decoding and quality modeling
Figure A.3.1-2Potential evaluation graph for different configurations
Listing A.3.3-1Quality Measurement Algorithm
Figure A.3.4.1-1Video Decoding Model
Figure A.3.4.3-1Probability for wrong CU propagation inter
Figure A.3.4.3-2Probability for wrong CU propagation intra
Figure B.2-1Illustration of Traffic model
Figure B.2-2Statistics for different games and platforms: Throughput, packet size, burst length
Figure B.2-3Statistics for different games and platforms: Inter arrival times (IAT), jitter, burst IAT
Figure B.3.2-1recommended parameters for cloud-gaming traffic

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