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The group headed by Prof. Eduard Jorswieck studies novel methods and tools from applied information theory, which are applied to analyse, optimize and design modern communications systems.
State-of-the-art and cutting-edge mathematical methods and tools are applied to systematically model, analyse and design modern communication systems, including cellular beyond 5G and 6G, wireless local and body area networks, molecular communications, and information-theoretic secure communications.
Cellular Communications Systems: Analysis and design of beyond 5G and 6G wireless communications, massive MIMO, mmWave, full duplex, dense heterogeneous interference networks. System architecture from PHY, MAC to network layer including network slicing, network function virtualization, scheduling, resource allocation, power control, beamforming, channel coding. Multimedia broadcast technologies in 5G and beyond. Novel technologies for higher reliability and coverage: multi-connectivity, relay-assisted communications, reconfigurable intelligent surfaces, optimization and reliability theory-based resource allocation.
Fundamental understanding of communications theoretic principles for massive multiple access in WiFi networks, resource allocation, power control, multi-user multi-armed bandits. Distributed non-convex optimization and game theoretic approaches. Statistical signal processing in wireless sensor networks, molecular and massive machine type communications.
Alternative scalable and infrastructure-less approaches for securing internet of things (IoT), optical multi-mode fiber and multi-hop networks: confidentiality by wiretap coding, secret key generation, authentication, differential privacy, anonymity, jamming attacks. Information-theoretic channel models include compound and arbitrarily varying wiretap and multi-user channels.
