A resource management approach for concurrent operation of RF functionalities

TL;DR

The paper addresses the challenge of executing multiple RF functionalities concurrently on a single aperture by introducing a cognitive resource management framework, Q-RAM, extended with Monte Carlo Tree Search (MCTS) to explore thousands of task configurations. It develops concrete performance models and a utility-based objective to select configurations under resource constraints, and defines three concurrent operation modes (interleaved, multifunction, and multioperation) with a tree-search approach to concurrency. The approach is validated in a high-fidelity simulator, showing that concurrent modes—especially multioperation—provide significant improvements in tracking accuracy and overall mission utility under realistic EMCON and operational conditions. The work offers a scalable pathway toward real-world deployment of multifunction RF systems capable of concurrent radar, communications, and EW functionalities.

Abstract

Future multifunction RF systems will be able to not only perform various different radar, communication and electronic warfare functionalities but also to perform them simultaneously on the same aperture. This ability of concurrent operations requires new, cognitive approaches of resource management compared to classical methods. This paper presents such a new approach using a combination of quality of service based resource management and Monte Carlo tree search.

Figures (9)

• Figure 1: Tree approach for best utility. A single colour corresponds to a single mode configuration. Two colours refer to a combination of two tasks.
• Figure 2: CoRaSi user interface.
• Figure 3: The scenario in top view with all trajectories and positions. The resource management takes place in UCAV 1.
• Figure 4: Graphical representation of the storyboard.
• Figure 5: Track error over time.