QoS based resource management for concurrent operation using MCTS

TL;DR

This paper proposes a novel resource management framework using QoS and Monte Carlo tree search to optimize concurrent RF system operations, validated through experimental verification in complex scenarios.

Contribution

It introduces a new cognitive resource management framework combining QoS and MCTS for RF systems performing multiple tasks concurrently.

Findings

Effective resource allocation improves system performance.

MCTS-based decision-making enhances operational efficiency.

Experimental results validate the framework's applicability.

Abstract

Modern 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.