Content for TR 38.838 Word version: 17.0.0
7 XR capacity evaluation Word‑p. 22
7.1 Purpose of study Word‑p. 22
7.2 KPI Word‑p. 22
7.2.1 UE satisfaction Word‑p. 22
7.2.2 System capacity Word‑p. 22
7.3 Capacity results Word‑p. 22
7.3.1 Capacity baseline performance Word‑p. 22
7.3.1.1 FR1 DL Word‑p. 22
7.3.1.1.1 DU scenario Word‑p. 26
7.3.1.1.1.1 VR/AR Word‑p. 26
7.3.1.1.1.2 CG Word‑p. 27
7.3.1.1.2 InH scenario Word‑p. 28
7.3.1.1.2.1 VR/AR Word‑p. 28
7.3.1.1.2.2 CG Word‑p. 29
7.3.1.1.3 UMa scenario Word‑p. 29
7.3.1.1.3.1 VR/AR Word‑p. 29
7.3.1.1.3.2 CG Word‑p. 29
7.3.1.2 FR1 UL Word‑p. 30
7.3.1.2.1 DU scenario Word‑p. 32
7.3.1.2.1.1 VR/CG (Pose/control-stream) Word‑p. 32
7.3.1.2.1.2 AR (1 stream: scene/video/data/voice-stream) Word‑p. 32
7.3.1.2.1.3 AR (2 streams: pose/control-stream + scene/video/data/voice-stream) Word‑p. 32
7.3.1.2.1.4 AR (3 streams: video stream+data/audio stream+pose/control stream) Word‑p. 33
7.3.1.2.1.5 AR (3 streams: pose/control-stream + I/P-stream) Word‑p. 33
7.3.1.2.2 InH scenario Word‑p. 33
7.3.1.2.2.1 VR/CG (pose/control-stream) Word‑p. 33
7.3.1.2.2.2 AR (1 stream: scene/video/data/voice-stream) Word‑p. 33
7.3.1.2.2.3 AR (2 streams: pose/control-stream + scene/video/data/voice-stream) Word‑p. 34
7.3.1.2.2.4 AR (3 streams: video stream+data/audio stream+pose/control stream) Word‑p. 34
7.3.1.2.3 UMa scenario Word‑p. 34
7.3.1.3 FR2 DL Word‑p. 35
7.3.1.3.1 DU scenario Word‑p. 37
7.3.1.3.1.1 VR/AR Word‑p. 37
7.3.1.3.1.2 CG Word‑p. 38
7.3.1.3.2 InH scenario Word‑p. 39
7.3.1.3.2.1 VR/AR Word‑p. 39
7.3.1.3.2.2 CG Word‑p. 40
7.3.1.4 FR2 UL Word‑p. 41
7.3.1.4.1 DU scenario Word‑p. 42
7.3.1.4.1.1 VR/CG (pose/control-stream) Word‑p. 42
7.3.1.4.1.2 AR (1 stream: scene/video/data/voice-stream) Word‑p. 42
7.3.1.4.1.3 AR (2 streams: pose/control-stream + scene/video/data/voice-stream) Word‑p. 43
7.3.1.4.2 InH scenario Word‑p. 43
7.3.2 Capacity comparison for different parameters/configurations Word‑p. 44
7.3.2.1 Capacity comparison for different data-rate Word‑p. 44
7.3.2.2 Capacity comparison for different PDB/PER values Word‑p. 47
7.3.2.2.1 Single-stream traffic model Word‑p. 49
7.3.2.2.2 Multi-stream traffic model Word‑p. 50
7.3.2.3 Impact of jitter on capacity Word‑p. 55
7.3.2.4 Impact of dual-eye buffers staggering Word‑p. 56
7.3.2.5 Impact of TDD frame format Word‑p. 58
7.3.2.6 Impact of bandwidth Word‑p. 61
7.3.2.7 Impact of FDM/SDM and mini-slot Word‑p. 63
7.3.3 Potential capacity enhancements Word‑p. 63
7.3.3.1 Staggering of packet arrivals at gNB among UEs Word‑p. 64
7.3.3.2 Delay aware scheduler Word‑p. 68
7.3.3.3 Frame level integrated transmission scheduler Word‑p. 70
7.3.3.4 Cooperative MIMO/precoding via bi-directional training (BiT) Word‑p. 70
7.3.3.5 Network coding (NC)/outer coding (OC) Word‑p. 77
7.3.3.6 gNB scheduling awareness UE playout buffer Word‑p. 78
7.3.3.7 Impact of carrier aggregation Word‑p. 78
7.3.3.8 Prioritizing important stream Word‑p. 79
7.3.3.9 Adaptive inter-UE/intra-UE multiplexing techniques Word‑p. 83
7.3.3.10 HARQ-ACK enhancement for DG scheduling Word‑p. 85
7.3.3.11 Enhanced buffer status reporting for UL transmission Word‑p. 87
7.3.3.12 Application data unit (ADU) dropping Word‑p. 88
