CDL

Clustered Delay Line

Radio Access Network →
Introduced in Rel-14 Also in: Testing

CDL is a standardized 5G channel model that simulates radio propagation by representing the wireless environment with clusters of multipath components having defined delays, angles, and powers.

Category
Radio Access Network
Introduced
Rel-14
Where
Radio Access Network › NG-RAN (5G)
Also touches
1 segments
Specifications
10 specs
CDL Description Purpose Detected Changes Specifications

Description

The Clustered Delay Line (CDL) model is a statistical channel model defined within the 3GPP specifications for New Radio (NR). It is a geometry-based stochastic channel model (GSCM) that mathematically represents the radio propagation environment between a transmitter and a receiver. The core principle of CDL is to model the wireless channel as a collection of discrete multipath clusters. Each cluster corresponds to a group of scatterers in the physical environment that cause reflections, diffractions, or scattering of the radio signal. A cluster is characterized by a set of parameters including its absolute delay relative to the first arriving path, its average power, and its angular properties (azimuth and zenith angles of arrival and departure).

Within each cluster, the model further defines a number of subpaths. These subpaths have slight offsets in delay, angle, and power relative to the cluster's central values, providing a more detailed and realistic representation of the channel's fading characteristics. The model generates time-varying channel impulse responses by applying specific Doppler spectra to each cluster and subpath, simulating the effects of mobility. The CDL model supports both line-of-sight (LOS) and non-line-of-sight (NLOS) conditions, with different parameter sets (CDL-A, CDL-B, CDL-C, etc.) defined to represent specific environments like Urban Macro (UMa), Urban Micro (UMi), and Rural Macro (RMa).

The implementation of the CDL model involves generating complex channel coefficients for each antenna element, subpath, and cluster, which are then convolved with the transmitted signal to produce the received signal. This process accounts for large-scale parameters like pathloss and shadow fading, as well as small-scale fading due to multipath. The model is fully defined with tables of normalized delay and power profiles, angular spreads, and other statistical distributions, ensuring reproducibility across different simulations and testing laboratories. Its role is foundational in the Radio Access Network layer for performance evaluation, as it provides a common, agreed-upon reference for comparing link-level and system-level simulation results for 5G NR equipment, beamforming algorithms, and MIMO techniques under a wide range of standardized scenarios.

Purpose & Motivation

CDL was created to address the critical need for a standardized, accurate, and computationally efficient channel model for the development and performance verification of 5G New Radio systems. Prior to 5G, channel models like the ITU-R IMT-Advanced models or earlier 3GPP Spatial Channel Model (SCM) were used for 3G and 4G. However, 5G introduced new challenges including the use of millimeter-wave (mmWave) frequencies, massive MIMO with large antenna arrays, and advanced beamforming techniques. Existing models were insufficient as they did not accurately capture the unique propagation characteristics at higher frequencies, such as higher path loss, different atmospheric absorption, and the increased importance of blockage and spatial consistency.

The primary problem CDL solves is providing a common simulation framework that ensures fairness and comparability in performance assessments conducted by different vendors, operators, and standardization bodies. Without a standardized model, each entity might use proprietary or slightly different models, making it impossible to objectively compare the performance claims of different 5G solutions. The CDL model, along with the more complex Tapped Delay Line (TDL) and Integrated Access and Backhaul (IAB) channel models, forms a hierarchy of models for different testing purposes. CDL's clustered structure is particularly well-suited for evaluating spatial processing and beam management algorithms because it explicitly models the angular characteristics of multipath clusters, which is essential for simulating beam-based systems. Its creation was motivated by the requirement to support the full range of 5G use cases, from enhanced Mobile Broadband (eMBB) to massive Machine-Type Communications (mMTC) and Ultra-Reliable Low-Latency Communications (URLLC), across diverse frequency bands from below 6 GHz up to 100 GHz.

Detected Changes Across Releases

from 3GPP Change Requests

Specific changes extracted from the „Change history“ tables of 3GPP specifications (5 CRs across 2 releases). Complements the general historical overview above with the evidence-based evolution of this function.

Studied in Rel-14, normative work from Rel-17.

Rel-17 3 changes

In Release 17, the specification introduced specific Power Delay Profile (PDP) targets and a Temporal Correlation Function (TCF) test methodology for validating the FR2 CDL-C channel model. It also provided corrections for the scaling of angles within the CDL model and its associated figures. These updates defined precise validation procedures, including beam-specific measurement setups and pass/fail criteria, to ensure consistent over-the-air testing for user equipment.

  • Update on PDP Targets for FR2 CDL-C channel model TS 38.151CR0008
  • Update on TCF Test Methodology for FR2 CDL-C channel model TS 38.151CR0009
  • CR correcting scaling of angles for CDL model and a figure reference TS 38.901CR0025
Rel-18 2 changes

In Release 18, the CDL function was updated with new validation procedures and targets specifically for the FR2 Power Delay Profile (PDP). This included defining detailed, beam-specific PDP reference values and pass/fail criteria for both the CDL-C UMi and CDL-C UMa channel models. The enhancements also formalized the validation setup for a second beam in the CDL-C UMa model, which is used for 4x4 MIMO requirements.

  • On Annex I.3.2, FR2 Power Delay Profile (PDP) TS 38.551CR0044
  • CR to 38.761 on FR1 CDL-C UMa channel model validation results TS 38.761CR0005

Explore further

Broader topics and technologies where CDL plays a role.

Defining Specifications

3GPP specifications that define or reference CDL, with the latest known release. Sourced from the 3GPP document catalog — see methodology.

SpecificationTitleRelease
TS 38.151 vj00 NR UE MIMO OTA Performance Requirements Rel-19
TS 38.551 vi30 User Equipment (UE) Multiple Input Multiple Output (MIMO) Over-the-Air (OTA) performance Rel-18
TS 38.753 vj00 Spatial Channel Model Study for NR Demodulation Rel-19
TS 38.761 vj00 MIMO OTA Performance Measurements for UE Rel-19
TS 38.762 vj00 Dynamic MIMO OTA Test Methodology for NR FR1 Rel-19
TR 38.810 vg70 NR OTA Test Methods Study Rel-16
TS 38.811 vf40 Study on NR Support for Non-Terrestrial Networks Rel-15
TS 38.827 vg80 NR MIMO OTA Radiated Metrics & Test Methodology Rel-16
TR 38.900 vf00 Channel Model Study for >6 GHz Rel-15
TR 38.901 vj10 Channel Model for 0.5-100 GHz Rel-19