With the deployment of 5G networks, performance monitoring becomes essential for ensuring reliability and quality of service. Key performance indicators (KPIs) such as throughput, latency, jitter, and packet loss rate are critical for industrial and mission-critical applications.
This thesis focuses on designing and implementing a demonstrator capable of capturing and analyzing 5G network performance in a laboratory environment. The system will collect measurement data, store it in a structured database, and present results visually, including heatmap-based representations.
Student Target Groups:
- Students of ICE/Telematics;
- Students of Computer Science;
- Students of Software Engineering.
Thesis Type:
- Bachelor Thesis / Master Project / Master Thesis
Goal and Tasks:
The primary goal of this thesis is to design and implement a 5G performance measurement demonstrator capable of capturing, storing, analyzing, and visualizing network KPIs.
- Conduct a state-of-the-art review of 5G performance analytics and visualization;
- Define a suitable data model for 5G performance metrics (throughput, packet loss rate, packet jitter, latency);
- Set up a 5G laboratory capture environment for controlled measurements;
- Design and implement a data pipeline for structured data acquisition and processing;
- Deploy a signal/performance database for storing measurement results;
- Research and implement data analysis and visualization methods, including heatmap-based performance presentation;
- Evaluate measurement accuracy and discuss limitations;
- Document the system design, implementation process, experimental results, and conclusions;
- Prepare and deliver an oral presentation summarizing the results.
Recommended Prior Knowledge:
- Basic networking knowledge (IP, TCP/UDP);
- Understanding of mobile communication systems (preferably 5G fundamentals);
- Programming skills for data processing and visualization;
- Interest in the topic.
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