Policy on Intellectual Property Right (IPR)
1 Introduction
2 Scope
3 Structure of the Report
4 Related ITU-R documents
5 Evaluation guidelines
6 Overview of characteristics for evaluation
7 Evaluation methodology
7.1 System simulation procedures
7.1.1 Average spectral efficiency
7.1.2 5th percentile user spectral efficiency
7.1.3 Connection density
7.1.4 Mobility
7.1.5 Reliability
7.2 Analytical approach
7.2.1 Peak spectral efficiency calculation
7.2.2 Peak data rate calculation
7.2.3 User experienced data rate calculation
7.2.4 Area traffic capacity calculation
7.2.5 Control plane latency calculation
7.2.6 User plane latency calculation
7.2.7 Mobility interruption time calculation
7.3 Inspection approach
7.3.1 Bandwidth
7.3.2 Energy efficiency
7.3.3 Support of wide range of services
7.3.4 Supported spectrum band(s)/range(s)
8 Test environments and evaluation configurations
8.1 Usage scenarios
8.2 Test environments
8.3 Network layout
8.3.1 Indoor Hotspot-eMBB
8.3.2 Dense Urban-eMBB
8.3.3 Rural-eMBB
8.3.4 Urban Macro-mMTC and Urban Macro-URLLC
8.4 Evaluation configurations
8.5 Antenna characteristics
8.5.1 BS antenna
8.5.2 UE antenna
9 Evaluation model approach
9.1 Channel model approach
10 List of acronyms and abbreviations
Annex 1 Test Environments and Channel Models
1 Test environments and mapping to channel model scenario
2 Overview of IMT-2020 channel modelling
2.1 Introduction
2.2 Advances in channel modelling
3 Path loss models, LOS probability, shadow fading
3.1 Path loss model
3.1.1 InH_x
3.1.2 UMa_x
3.1.3 UMi_x
3.1.4 RMa_x
3.2 Outdoor to indoor (O-to-I) building penetration loss
3.3 Car penetration loss
3.4 LOS probability
4 Fast fading model
4.1 General parameter generation
4.2 Large scale parameter generation
4.3 Small scale parameter generation
4.4 Channel coefficient generation
4.5 Fast fading parameters
4.5.1 InH_x
4.5.2 UMa_x
4.5.3 UMi_x
4.5.4 RMa_x
5 Advanced Modelling Components for IMT-2020 Channel Model
5.1 Oxygen absorption
5.2 Large bandwidth and large antenna array
5.2.1 Modelling of the propagation delay
5.2.2 Modelling of intra-cluster angular and delay
spreads
5.3 Spatial consistency
5.3.1 Spatial consistency procedure
5.3.2 Spatially-consistent UT mobility modelling
5.3.3 LOS/NLOS, indoor states and O-I parameters
5.4 Blockage
5.4.1 Blockage Model I (BL-I)
5.4.2 Blockage Model II (BL-II)
5.5 Modeling of inter-frequency correlation of large scale
parameters
5.5.1 Correlation modelling for multi-frequency
simulations
5.5.2 Correlation model for shadow fading
5.6 Time-varying Doppler shift
5.7 UT rotation
5.8 Modelling of Ground Reflection
5.9 Random cluster number
6 Channel models for link-level evaluations
6.1 Clustered Delay Line (CDL) models
6.2 Tapped Delay Line (TDL) models
6.3 Scaling of delays
6.4 Spatial filter for generating TDL channel model
6.4.1 Exemplary filters/antenna patterns
6.4.2 Generation procedure
6.5 Extension for MIMO simulations
6.5.1 CDL extension: Scaling of angles
6.5.2 TDL extension: Applying a correlation matrix
6.5.3 Calculation of angular spread
6.6 K-factor for LOS channel models
Attachment 1 to Annex 1 Map-based hybrid channel model (alternative channel
model methodology)
For azimuth angles of the n-th random cluster:
For zenith angles of the n-th random cluster:
Attachment 2 to Annex 1 Extension module below 6 GHz (alternative method of
generating the channel parameters)
1 Large scale parameters
1.1 NLOS scenarios
1.2 LOS scenarios
1.3 XPD
1.4 Building penetration loss
1.5 Short-term variation
1.6 Spreads and their variations of PDP, AOD and AOA in large scale
parameters
1.7 Threshold parameter
1.8 Time-spatial profile in cluster
2 Generation of reduced variability models based on TSP model
2.1 NLOS scenario
2.2 LOS scenario
3 K-factor
4 Cross polarization
5 Generation of small scale parameters in clusters
Attachment 3 to Annex 1 Channel impulse response generation when using antenna
arrays
Annex 2 Linear cell layout configuration for high speed vehicular mobility at
500 km/h under Rural-eMBB test environment
1 Network layout
2 Additional configuration parameters