| dc.description.abstract | The introduction of 5G technology has transformed the telecoms sector by enabling diverse use cases and applications with varying quality of service requirements. Network slicing is a major element of 5G, allowing the creation of multiple virtual networks tailored to specific service requirements. As the deployment of 5G networks develops, ensuring the quality and performance of these network slices becomes increasingly important. This thesis presents a comprehensive study on the quality testing of 5G slicing using a simulator-based approach.
The primary objective of this research is to evaluate the performance and effectiveness of network slicing in meeting the service level agreements (SLAs) defined for different applications. A simulator is employed to emulate the 5G network environment and enable controlled experiments. The thesis focuses on three major aspects: throughput testing, scheduler algorithm evaluation, and slice isolation assessment.
The first part of the thesis investigates throughput testing in network slicing. Various scenarios with different numbers of users and traffic loads are simulated to measure the throughput performance of the network slices. The results provide valuable insights into the capacity and efficiency of the slices under different conditions.
The second part of the thesis evaluates different scheduler algorithms employed in network slicing. Through systematic simulations and performance analysis, the effectiveness of these algorithms in resource allocation and ensuring fairness among slices is assessed. This evaluation aids in identifying the most suitable scheduler algorithm for specific use cases.
The third part of the thesis addresses the critical issue of slice isolation. By conducting experiments and analyzing the data, the extent of isolation between network slices is examined. This assessment helps in identifying potential leakages or interference between slices, which can impact the overall performance and reliability of the network.
Although the thesis acknowledges the limitations in testing latency, mMTC (massive Machine Type Communications), and URLLC (Ultra-Reliable Low Latency Communications) use cases, it highlights these as avenues for future research and development. Additionally, recommendations for further enhancements in the simulator-based testing approach are provided.
In conclusion, this thesis contributes to the understanding and assessment of 5G slicing quality. The findings and insights derived from this research provide valuable knowledge for network operators, service providers, and researchers working on 5G deployments and optimizations. | |