  An 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.
