Intent Management using Explainable AI (xAI) and Large Language Models (LLMs)

As networks and digital systems become increasingly complex, managing user and system intents efficiently is critical for optimizing performance, resource allocation, and decision-making. This project explores the use of Large Language Models (LLMs) and Explainable AI (xAI) to enhance intent-based management in 5G/6G networks.
The goal is to develop an intelligent framework that can interpret, translate, and resolve conflicting intents from various stakeholders—such as users, applications, and network operators. By leveraging LLMs, the system will understand and process natural language-based intents, while xAI techniques will ensure transparency and trust in decision-making. The project will focus on seamless automation, conflict resolution, and real-time adaptability, providing an intuitive and interpretable approach to managing system behavior.