Project summary:
This project aims to improve wireless communication systems, such as those used in smartphones or the Internet, through the use of modern artificial intelligence (AI). It focuses on a specific method called self-supervised learning (SSL). This approach enables AI systems to learn independently from existing data, without requiring humans to prepare or label each example. In wireless networks, large amounts of data are constantly generated, for example about the quality of the radio connection or the condition of transmission channels. Much of this data is currently not being used. In this project, we aim to make use of this unused information to train AI models that make networks smarter and more adaptable. This will allow systems to automatically respond to changing conditions and optimize themselves. These developments will make an important contribution to the next generation of mobile communication, known as 6G. They will help make networks faster, more reliable, and more energy-efficient, thereby contributing to sustainable technological progress and meeting the growing demands of our connected society.