Quality of service based radar resource management using deep reinforcement learning
Sebastian Durst, Stefan Brüggenwirth
Abstract
An intelligent radar resource management is an essential milestone in the development of a cognitive radar system. The quality of service based resource allocation model (Q-RAM) is a framework allowing for intelligent decision making but classical solutions seem insufficient for real-time application in a modern radar system. In this paper, we present a solution for the Q-RAM radar resource management problem using deep reinforcement learning considerably improving on runtime performance.
Topics & Concepts
RadarComputer scienceResource management (computing)MilestoneReinforcement learningQuality of serviceResource (disambiguation)Resource allocationService (business)Real-time computingArtificial intelligenceDistributed computingTelecommunicationsComputer networkBusinessArchaeologyMarketingHistoryRadar Systems and Signal ProcessingSatellite Communication SystemsAdvanced Adaptive Filtering Techniques