Halvtidsseminarium om 5G med Maxim Friesen

Välkommen till ett halvtidsseminarium med Maxim Friesen, doktorand i ett samarbete mellan TW-OWL, Tyskland och Mittuniversitetet. 

Handledare: Prof. Mikael Gidlund, Dr. Sarder Fakhrul Abedin och Prof. Juergen Jasperneite.

Extern opponent vid halvtidsseminarium: Dr Filip Barac, expert på 6G-radiostandardisering på Ericsson AB

Seminar Title: Towards Sustainable 5G Backhauling: A Deep Reinforcement Learning Framework for Energy-Efficient Mobile IAB Operation

Seminar Abstract:

The deployment of 5G and beyond (5G+) networks relies heavily on densification, where Integrated Access and Backhaul (IAB) offers a flexible wireless solution to traditional backhauling challenges. However, energy consumption in the Radio Access Network remains a significant operational cost, particularly in emerging mobile and battery-operated IAB systems. These systems are designed for dynamic environments such as industrial automation, mining, or emergency response, where fixed power infrastructure is unavailable or impractical. To address the challenge of energy efficiency in these mobile IAB networks, this research focuses on minimizing power consumption through the dynamic management of node power states. A Deep Reinforcement Learning (DRL) framework is proposed to learn optimal node activation policies that adapt to changing network conditions, including traffic loads and link quality. The approach is integrated using a comprehensive system-level simulator, leveraging the Sionna library for modeling the physical layer wireless channels and a rule-based low-level scheduler to manage backhaul transmissions. The platform is designed for training DRL agents and evaluating their ability to balance energy savings with network Quality of Service in realistic mobile IAB scenarios.