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5G Numerologies Assessment for URLLC in Industrial Communications
David Segura1, Emil J Khatib1, Jorge Munilla1
1Department of Communications Engineering, University of Malaga, 29071 Málaga, Spain.
Sensors (Basel, Switzerland)
|April 30, 2021
Summary
Choosing the right 5G numerology is crucial for Industry 4.0. This study shows that faster 5G scheduling isn't always best for remote control in industrial settings, especially with poor radio conditions.
Area of Science:
- Telecommunications Engineering
- Industrial Automation
- Wireless Communication Systems
Background:
- Fifth-generation (5G) networks are key for Industry 4.0, offering Ultra-Reliable and Low Latency Communications (URLLC).
- Selecting appropriate 5G numerologies is vital for optimizing performance in challenging industrial radio environments.
- Industrial settings present unique challenges like interference and multipath propagation due to structures.
Purpose of the Study:
- To analyze the impact of 5G numerology selection on radio link level delay for remote-control services.
- To evaluate performance under various packet sizes and channel conditions in a simulated factory environment.
- To identify optimal numerology configurations for critical industrial applications.
Main Methods:
- Simulation of a cellular factory environment.
- Analysis of different 5G numerologies and their effect on slot duration.
- Testing with varying packet sizes and Non-Line-of-Sight (NLOS) channel conditions.
- Focus on evaluating outlier performance and delay.
Main Results:
- Not all higher numerologies (shorter slot durations) yield better results for remote-control services.
- Performance is significantly impacted by channel conditions, particularly Non-Line-of-Sight (NLOS).
- Suboptimal numerology choices can lead to unacceptable delays in industrial communication.
Conclusions:
- The choice of 5G numerology must be carefully considered based on specific industrial radio conditions.
- Optimizing numerology is essential for achieving reliable and low-latency URLLC in Industry 4.0.
- Further research is needed to develop adaptive numerology selection mechanisms for dynamic industrial environments.
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