Radio Environment Reconfiguration View: Resource-efficient and Transition-capable Reconfiguration of Intelligent Surfaces (C08#)

• Subject Area: Communication Technology and Networks, High-Frequency Technology and Photonic Systems, Signal Processing and Machine Learning for Information Technology ; Security and Dependability, Operating-, Communication- and Distributed Systems
• Term: since 2023
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 210487104

Guaranteeing a uniformly high quality-of-service, needed for applications with mission-critical requirements, is particularly challenging over inherently stochastic and unreliable wireless channels. The solution to this issue can be found in the newly emerging concept of reconfigurable radio environment, where the wireless channel is no longer treated as a given uncontrollable entity but can be programmed via reconfigurable intelligent surfaces (RISs) to facilitate communication. This subproject borrows the concepts of multi-mechanism adaption and transitions introduced in the CRC MAKI to address a fundamental open challenge in realizing reconfigurable radio environments, that is the resource-efficient reconfiguration of extremely large RISs in highly dynamic communication systems.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1053: MAKI - Multi-Mechanism-Adaptation for the Future Internet
• Applicant Institution: Technische Universität Darmstadt
• Project Head: Professor Dr.-Ing. Vahid Jamali