Durst, SebastianSebastianDurstMarquardt, PascalPascalMarquardtBrüggenwirth, StefanStefanBrüggenwirth2022-09-132022-09-132022https://publica.fraunhofer.de/handle/publica/42537210.1109/WiSNet53095.2022.97213742-s2.0-85127468261An intelligent radar resource management is an essential building block of any modern radar system. The quality of service based resource allocation model (Q-RAM) provides a framework for profound and quantifiable decision making but lacks the flexibility necessary for optimal mitigation strategies in the presence of interference. We define an extension of the Q-RAM based radar resource management framework with an intelligent interference handling capability using various mitigation methods. The approach incorporates virtual time resources and alternative task configurations to compute near-optimal solutions in the presence of interference. The provided experimental results demonstrate a significant improvement over traditional strategies.encognitive radarinterferencequality of serviceradarresource managementconference paper