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Content for  TR 38.838  Word version:  17.0.0

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1  ScopeWord‑p. 11

The present document captures the results and findings from the study item "Study on XR Evaluation for NR"[2].
The purpose of this TR is
  • to document the evaluation methodology for XR evaluation including XR applications, simulation scenarios, traffic models, KPIs, simulation parameters, etc,
  • to document the performance evaluation results of XR applications in NR for both FR1 and FR2 considering the scenarios and services of interest,
  • to document the identified problems/challenges in supporting XR applications of interest in various scenarios.
This activity involves the Radio Access work area of the 3GPP studies and has potential impacts both on the Mobile Equipment and Access Network of the 3GPP systems.
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2  ReferencesWord‑p. 11

The following documents contain provisions which, through reference in this text, constitute provisions of the present document.
  • References are either specific (identified by date of publication, edition number, version number, etc.) or non-specific.
  • For a specific reference, subsequent revisions do not apply.
  • For a non-specific reference, the latest version applies. In the case of a reference to a 3GPP document (including a GSM document), a non-specific reference implicitly refers to the latest version of that document in the same Release as the present document.
[1]
TR 21.905: "Vocabulary for 3GPP Specifications".
[2]
3GPP RP-201145: "Revised SI on XR Evaluations for XR".
[3]
3GPP R1-2104023: "LS on Status Update on XR Traffic".
[4]
3GPP S4-210614: "FS_XRTRaffic: Permanent document, v0.6.0".
[5]
TS 23.501: "System architecture for the 5G System (5GS) ".
[6]
TR 38.840: "Study on User Equipment (UE) power saving in NR".
[7]
3GPP R1-2101765: "LS on XR-Traffic Models".
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3  Definitions of terms, symbols and abbreviationsWord‑p. 11

3.1  TermsWord‑p. 11

For the purposes of the present document, the terms and definitions given in TR 21.905 apply.

3.2  AbbreviationsWord‑p. 12

For the purposes of the present document, the abbreviations given in TR 21.905 and the following apply. An abbreviation defined in the present document takes precedence over the definition of the same abbreviation, if any, in TR 21.905.
ACK
Acknowledgement
AR
Augmented Reality
BWP
Bandwidth Part
CDRX
Connected mode Discontinuous Reception
CG
Cloud Gaming
CSI
Channel State Information
DL
Downlink
DMRS
Dedicated Demodulation Reference Signals
DU
Dense Urban
FDD
Frequency Division Duplex
gNB
NR Node B
fps
Frames per second
FR1
Frequency Range 1
FR2
Frequency Range 2
HARQ
Hybrid Automatic Repeat reQuest
iBLER
initial BLock Error Rate
InH
Indoor Hotspot
MCS
Modulation and Coding Scheme
MU
Multi-User (MIMO)
MU-MIMO
Multi-User Multiple-Input Multiple-Output
MR
Mixed Reality
MIMO
Multiple-Input Multiple-Output
NACK
Negative Acknowledgement
PDCCH
Physical Downlink Control Channel
PDB
Packet Delay Budget
PDCCH
Physical Downlink Control Channel
PDSCH
Physical Downlink Shared Channel
PSG
Power Saving Gain
PSR
Packet Success Rate
PUCCH
Physical Uplink Control Channel
PUSCH
Physical Uplink Shared Channel
SR
Scheduling Request
SU
Single-User (MIMO)
SU-MIMO
Single-User Multiple-Input Multiple-Output
STD
STandard Deviation
TDD
Time Division Duplex
UE
User Equipment
UMa
Urban Macro
UL
Uplink
VR
Virtual Reality
XR
Extended Reality
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4  IntroductionWord‑p. 12

XR Applications
eXtended Reality(XR) is a term for different types of realities and refers to all real-and-virtual combined environments and human-machine interactions generated by computer technology and wearables. It includes following representative forms and the areas interpolated among them.
  • Augmented Reality (AR)
  • Mixed Reality (MR)
  • Virtual Reality (VR)
XR and Cloud Gaming (CG) are currently one of the most important 5G media applications under consideration in the industry [2].
System Architecture
One specific aspect to be considered is the role of Edge Computing as a network architecture to enable XR and Cloud Gaming. Edge Computing is a concept that enables cloud computing capabilities and service environments to be deployed close to the cellular network. It promises several benefits such as lower latency, higher bandwidth, reduced backhaul traffic and prospects for several new services as indicated in the SA6 Study on application architecture for enabling Edge Applications (TR 23.758). Edge Applications are expected to take advantage of the low latencies enabled by 5G and the Edge network architecture to reduce the end-to-end Application-level latencies. Edge Computing is a valuable enabler which should be considered to help 5G systems achieve the required performance to enable XR and Cloud Gaming [2].
Traffic Characteristics
5G NR is designed to support applications demanding high throughput and low latency in line with the requirements posed by the support of XR and Edge Computing applications in NR networks. XR and Edge Computing are services enabled by Rel-15 NR networks [2].
Objectives
The objectives of this study are as follows.
  • Confirm XR and Cloud Gaming applications of interest
  • Identify the traffic model for each application of interest taking outcome of SA WG4 work as input, including considering different upper layer assumptions, e.g. rendering latency, codec compression capability etc.
  • Identify evaluation methodology to assess XR and CG performance along with identification of KPIs of interest for relevant deployment scenarios
  • Once traffic model and evaluation methodologies are agreed, carry out performance evaluations towards characterization of identified KPIs
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