Telecom Network

Telecom network research focuses on improving the efficiency, reliability, and security of increasingly complex communication systems. Current efforts concentrate on applying advanced machine learning techniques, such as large language models (LLMs), graph neural networks (GNNs), and genetic algorithms, to automate tasks like network design, anomaly detection, and root cause analysis. These advancements aim to optimize network performance, reduce operational costs, and enhance the user experience, impacting both the efficiency of network providers and the quality of service for end-users. The development of robust evaluation benchmarks for these AI-driven solutions is also a key area of ongoing research.