Dynamic QoS Management for a Flexible 5G/6G Network Core: A Step toward a Higher Programmability.

Area of Science:

• Telecommunications Engineering
• Computer Networking

Background:

• The evolution towards 6G networks necessitates advancements in core infrastructure to meet complex Quality of Service (QoS) requirements.
• Current 5G solutions often rely on predefined queues, limiting flexibility for dynamic service demands.

Purpose of the Study:

• To enhance the flexibility of 5G and 6G core networks through customized network slices and increased programmability.
• To develop and validate a dynamic QoS management model for optimizing network performance.

Main Methods:

• Customizing and optimizing network slices by grouping similar services.
• Implementing a highly flexible, dynamic queue management software at the application layer.
• Emulating a realistic testbed environment to verify the proposed model.

Main Results:

• The proposed dynamic QoS management model effectively configures queue parameters based on service requirements.
• The solution demonstrates validity in enhancing network slice programmability for dynamic QoS.
• The developed model shows efficient applicability to 5G core networks.

Conclusions:

• The research provides a flexible and programmable core infrastructure for future 5G and 6G networks.
• Dynamic queue management at the application layer offers a viable solution for complex service requirements.
• The proposed model enhances the adaptability of current and future mobile networks.