Bachelor and Master Theses

The introduction of 5G technology has opened new avenues for the digital transformation of our world. This thesis project delves into the exciting realm of Network Digital Twins, aiming to understand how these dynamic digital replicas can be leveraged to shape the future of 5G and beyond. Network Digital Twins hold immense potential for optimizing network performance, ensuring reliability, and providing real-time insights into complex systems.  In the pursuit of flawless wireless communication, Massive MIMO stands as a pivotal technology. This thesis dives deep into the intriguing world of Massive MIMO and its beamforming capabilities, specifically addressing optimization challenges. In the evolving landscape of 5G and beyond, achieving efficient and reliable wireless communication is paramount.

Research Objectives:

·         To explore the principles of beamforming in the context of Massive MIMO (Multiple-Input Multiple-Output) technology.

·         To investigate the specific optimization challenges in implementing beamforming techniques for future 5G and beyond wireless communication systems.

·         To develop efficient algorithms and solutions for maximizing connectivity and signal quality in Massive MIMO setups.

By applying advanced optimization techniques, we aim to unveil the full potential of Massive MIMO, thereby transforming the wireless experience.

This thesis is an excellent fit for students with the following qualifications:

•         Solid foundation in electrical engineering with a focus on telecommunications.
•          In-depth knowledge of optimization methods, algorithms, and mathematical modelling.
•          Familiarity with wireless communication systems and their principles.
•          Proficiency in programming languages used in optimization, such as MATLAB, Python, C, C++, Ubuntu or similar.
•          Strong problem-solving skills and the desire to tackle intricate optimization challenges in the context of 5G and beyond wireless technologies.

We are seeking two students passionate about reshaping our digital future, with a strong foundation in computer science, network engineering, optimization techniques, and wireless communication.