Durst, SebastianSebastianDurstBarth, KilianKilianBarthMüller, Matthias TobiasMatthias TobiasMüllerMarquardt, PascalPascalMarquardt2025-04-292025-04-292025https://publica.fraunhofer.de/handle/publica/48709310.1109/WiSNeT63956.2025.109050192-s2.0-105000825456Modern AESA technology enables RF systems to not only perform various radar, communication and electronic warfare tasks on a single aperture, but even to execute multiple tasks concurrently. These capabilities increase system complexity and require intelligent or cognitive resource management. This paper introduces such a resource management framework based on quality of service based resource allocation and Monte Carlo tree search allowing for optimal system usage and profound decision-making. Furthermore, we present experimental verification in a complex application scenario.enfalsecognitive radarconcurrent operationMCTSMFRFSquality of serviceresource managementconference paper