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control and reinforcement learning supported by an edge-cloud-based wireless communication environment. The doctoral student will work on data-driven theory and method development in simulation environments
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the following combined research areas. Previous experience in one or preferably more topics from these areas is considered a merit. - 5G reconfigurable Connectivity - 5G/6G QoS - Control of Communication networks
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- Control of Communication networks - Markovian Processes - Network Based Localisation / Radio based connectivity - Adaptive bandwidth - Mesh networking - Wireless Sensor Networks - Edge Computing - Time
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array antenna systems for imaging MIMO radar in autonomous driving applications. This work will advance the design and characterization of intelligent devices and environments for wireless communications
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of far-infrared electronics, with real-world impact in areas such as wireless systems, remote sensing, and space instrumentation. Information about the division and the department At the Department