Publikation
A Context-Aware Retrieval Framework for Dynamic Network Management
Franc Pouhela; Hans Dieter Schotten
In: Connected World for Sustainable Future. IEEE International Conference on Communications (ICC-2026), located at IEEE ICC, May 24-28, Glasgow, Scotland, United Kingdom, IEEE, 5/2026.
Zusammenfassung
Artificial Intelligence (AI) is increasingly recognized as a transformative technology across industries, and the mobile communication community is actively investigating its potential impact for the future of mobile communication. A central challenge in mobile network management is the effective utilization of contextual data to enable adaptive behavior, context-aware service provisioning, dynamic resource allocation, and resilience. This paper introduces a context-aware retrieval framework that leverages the Natural Language Processing (NLP) capabilities of Large Language Models (LLMs) to deliver precise, context-specific network information for enhanced decision-making. The proposed framework is evaluated in a virtual network simulation, demonstrating its effectiveness and strong performance in adaptive network management scenarios.