Future Networks & AI

Generation of new and optimization of existing networks based on artificial intelligence methods.

In the research area “Future Networks and AI” we at T-Labs conduct long-term research in fields such as Open RAN, cybersecurity, quantum computing and radio network technology of the next generation (“6G”). Hereby we consider artificial intelligence as an essential building block for mastering the upcoming challenges of an interconnected world. By artificial intelligence, we at T-Labs mean in particular machine learning methods that are capable of recognizing complex information in large volumes of data and optimizing the automated decision-making process based on this information.

In this context, we look at both sides of the corresponding research world: on the one hand, we consider current developments in research with regard to new algorithms as well as novel computing architectures required for this. Here, some of our activities in the field of quantum computing are derived, where we evaluate implementation capabilities and merge innovations from quantum technologies into communication networks. This also encompasses cryptography in the quantum era but extends to application beyond security.

On the other hand, our focus is on the application of AI for future telecommunication technologies. With 5G, the requirements on security as well as performance in terms of data rates and latency are high. This trend is likely to continue, if not intensify, in future telecommunication standards. Thus, we continuously monitor state-of-the-art research on next generation wireless technologies and provide AI-based innovations to shape the future of telecommunication networks. In particular, we develop cybersecurity solutions to protect future network operation and customer services by machine learning. In addition, we focus on recent infrastructure trends such as cloudification, platform-thinking and network disaggregation.

Claudia Pohlink
Claudia Pohlink