TR 37.901-5 – 5G NR UE App Layer Throughput Performance Study
3GPP TR 37.901-5 is the 3GPP Technical Report for 5G NR UE App Layer Throughput Performance Study. Its official 3GPP title is “Study on 5G NR User Equipment (UE) application layer data throughput performance”. It is part of 3GPP Rel-16 (version 16.13.0).
Study on 5G NR UE application layer data throughput performance measurement procedures and test configurations.
Releases and versions of TR 37.901-5
| Release | Latest version | Links |
|---|---|---|
| Rel-16 | 16.13.0 | Read · Download (3GPP) |
Scope of TR 37.901-5
Category: Testing (Performance Testing). Technology generation: 5G. Network layer: Testing.
Who should read this specification?
- Device manufacturers
- Network operators
- Researchers and academics
Implementation notes
Complexity level: Intermediate. Implementation difficulty: Medium.
Key technologies
Other specifications in the 37 series
- TR 37.890 Feasibility Study on 6 GHz for LTE/NR
- TR 37.898 Rel-19 HPUE for EN-DC Band Combinations
- TR 37.900 Multi-Standard Radio (MSR) Base Station Requirements
- TR 37.901 UE Application Layer Data Throughput Performance
- TR 37.902 OTA TRP/TRS Measurement for LTE Terminals
- TR 37.910 5G SRIT and NR RIT Self-Evaluation Report
- TR 37.911 3GPP 5G NTN Self-Evaluation Report
- TR 37.941 RF Conformance Testing Background for Radiated BS Requirements
Related glossary terms
Related topics
Related technologies
Frequently asked questions
What is 3GPP TR 37.901-5?
3GPP TR 37.901-5 is the 3GPP Technical Report for 5G NR UE App Layer Throughput Performance Study. Study on 5G NR UE application layer data throughput performance measurement procedures and test configurations.
Which 3GPP releases include TR 37.901-5?
TR 37.901-5 is part of 3GPP Rel-16. The latest version on 3GPP Explorer is 16.13.0 (Rel-16).
What category does TR 37.901-5 belong to?
TR 37.901-5 belongs to the Testing (Performance Testing) category of 3GPP specifications. It applies to 5G networks.
View the full specification with interactive table of contents, version history, and AI analysis.
Read Full Specification →