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Updated: Jun 3, 2025

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem
Published on: February 3, 2021
Cross-layer latency analysis for 5G NR in V2X communications.
Jorge Horta1, Mario Siller1, Salvador Villarreal-Reyes2
1CINVESTAV Unidad Guadalajara, Zapopan, Jalisco, Mexico.
A new analytical model evaluates 5G NR performance, focusing on throughput and latency. It confirms 5G can meet stringent delay requirements for applications like remote driving under optimal network conditions.
Area of Science:
- Wireless Communication Engineering
- Telecommunications Network Analysis
- Performance Modeling
Background:
- 5G networks aim for unprecedented performance: Gbps speeds, sub-millisecond latency, and massive device connectivity.
- Achieving 5G capabilities requires new spectrum (millimeter waves) and advanced techniques like Massive MIMO and beamforming.
- A novel radio interface, 5G New Radio (NR), was designed with enhanced physical components and protocols.
Purpose of the Study:
- To introduce an analytical model for evaluating the performance of 5G NR.
- To describe the behavior of Layer 1 and Layer 2 protocols within 5G radio communication.
- To enable performance assessment of 5G NR in terms of throughput and latency for Quality of Service (QoS) evaluation.
Main Methods:
- Development of an analytical model to simulate 5G NR protocol behavior.
- Layered protocol analysis to identify performance-critical elements.
- Performance evaluation using the model, exemplified by a Remote Driving scenario.
Main Results:
- The model accurately describes 5G NR Layer 1 and Layer 2 protocol interactions.
- Performance evaluation metrics include throughput and latency, crucial for QoS.
- The model demonstrates 5G's potential to meet stringent delay requirements for applications like Remote Driving, given adequate network conditions.
Conclusions:
- The developed analytical model provides a granular approach to understanding 5G NR performance.
- It aids in identifying critical protocol behaviors impacting network performance.
- The model serves as a foundation for evaluating end-to-end (E2E) communication performance in 5G applications.
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