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Content for
TR 38.838
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7
XR capacity evaluation
7.1
Purpose of study
7.2
KPI
7.3
Capacity results
...
7
XR capacity evaluation
p. 22
7.1
Purpose of study
p. 22
7.2
KPI
p. 22
7.2.1
UE satisfaction
p. 22
7.2.2
System capacity
p. 22
7.3
Capacity results
p. 22
7.3.1
Capacity baseline performance
p. 22
7.3.1.1
FR1 DL
p. 22
7.3.1.1.1
DU scenario
p. 26
7.3.1.1.1.1
VR/AR
p. 26
7.3.1.1.1.1.1
Single-stream traffic model
p. 26
7.3.1.1.1.1.2
Multi-stream traffic model
p. 27
7.3.1.1.1.2
CG
p. 27
7.3.1.1.2
InH scenario
p. 28
7.3.1.1.2.1
VR/AR
p. 28
7.3.1.1.2.1.1
Single stream traffic model
p. 28
7.3.1.1.2.1.2
Multi-stream traffic model
p. 28
7.3.1.1.2.2
CG
p. 29
7.3.1.1.3
UMa scenario
p. 29
7.3.1.1.3.1
VR/AR
p. 29
7.3.1.1.3.1.1
Single stream traffic model
p. 29
7.3.1.1.3.1.2
Multi-stream traffic model
p. 29
7.3.1.1.3.2
CG
p. 29
7.3.1.2
FR1 UL
p. 30
7.3.1.2.1
DU scenario
p. 32
7.3.1.2.1.1
VR/CG (Pose/control-stream)
p. 32
7.3.1.2.1.2
AR (1 stream: scene/video/data/voice-stream)
p. 32
7.3.1.2.1.3
AR (2 streams: pose/control-stream + scene/video/data/voice-stream)
p. 32
7.3.1.2.1.4
AR (3 streams: video stream+data/audio stream+pose/control stream)
p. 33
7.3.1.2.1.5
AR (3 streams: pose/control-stream + I/P-stream)
p. 33
7.3.1.2.2
InH scenario
p. 33
7.3.1.2.2.1
VR/CG (pose/control-stream)
p. 33
7.3.1.2.2.2
AR (1 stream: scene/video/data/voice-stream)
p. 33
7.3.1.2.2.3
AR (2 streams: pose/control-stream + scene/video/data/voice-stream)
p. 34
7.3.1.2.2.4
AR (3 streams: video stream+data/audio stream+pose/control stream)
p. 34
7.3.1.2.3
UMa scenario
p. 34
7.3.1.2.3.1
VR/CG (pose/control-stream)
p. 34
7.3.1.2.3.2
AR (1 stream: scene/video/data/voice-stream)
p. 34
7.3.1.2.3.3
AR (2 streams: pose/control-stream + scene/video/data/voice-stream)
p. 35
7.3.1.3
FR2 DL
p. 35
7.3.1.3.1
DU scenario
p. 37
7.3.1.3.1.1
VR/AR
p. 37
7.3.1.3.1.1.1
Single stream traffic model
p. 37
7.3.1.3.1.1.2
Multi-stream traffic model
p. 38
7.3.1.3.1.2
CG
p. 38
7.3.1.3.2
InH scenario
p. 39
7.3.1.3.2.1
VR/AR
p. 39
7.3.1.3.2.1.1
Single-stream traffic model
p. 39
7.3.1.3.2.1.2
Multi-stream traffic model
p. 40
7.3.1.3.2.2
CG
p. 40
7.3.1.4
FR2 UL
p. 41
7.3.1.4.1
DU scenario
p. 42
7.3.1.4.1.1
VR/CG (pose/control-stream)
p. 42
7.3.1.4.1.2
AR (1 stream: scene/video/data/voice-stream)
p. 42
7.3.1.4.1.3
AR (2 streams: pose/control-stream + scene/video/data/voice-stream)
p. 43
7.3.1.4.2
InH scenario
p. 43
7.3.1.4.2.1
VR/CG (pose/control-stream)
p. 43
7.3.1.4.2.2
AR (1 stream: scene/video/data/voice-stream)
p. 43
7.3.1.4.2.3
AR (2 streams: pose/control-stream + scene/video/data/voice-stream)
p. 44
7.3.2
Capacity comparison for different parameters/configurations
p. 44
7.3.2.1
Capacity comparison for different data-rate
p. 44
7.3.2.2
Capacity comparison for different PDB/PER values
p. 47
7.3.2.2.1
Single-stream traffic model
p. 49
7.3.2.2.2
Multi-stream traffic model
p. 50
7.3.2.3
Impact of jitter on capacity
p. 55
7.3.2.4
Impact of dual-eye buffers staggering
p. 56
7.3.2.5
Impact of TDD frame format
p. 58
7.3.2.6
Impact of bandwidth
p. 61
7.3.2.7
Impact of FDM/SDM and mini-slot
p. 63
7.3.3
Potential capacity enhancements
p. 63
7.3.3.1
Staggering of packet arrivals at gNB among UEs
p. 64
7.3.3.2
Delay aware scheduler
p. 68
7.3.3.3
Frame level integrated transmission scheduler
p. 70
7.3.3.4
Cooperative MIMO/precoding via bi-directional training (BiT)
p. 70
7.3.3.5
Network coding (NC)/outer coding (OC)
p. 77
7.3.3.6
gNB scheduling awareness UE playout buffer
p. 78
7.3.3.7
Impact of carrier aggregation
p. 78
7.3.3.8
Prioritizing important stream
p. 79
7.3.3.9
Adaptive inter-UE/intra-UE multiplexing techniques
p. 83
7.3.3.10
HARQ-ACK enhancement for DG scheduling
p. 85
7.3.3.11
Enhanced buffer status reporting for UL transmission
p. 87
7.3.3.12
Application data unit (ADU) dropping
p. 88