Mobile Network

Mobile network research currently focuses on optimizing performance, efficiency, and security through advanced data analytics and artificial intelligence. Key areas include developing AI-driven solutions for anomaly detection, resource allocation (spectrum and energy), and predictive modeling of network behavior using techniques like deep learning (convolutional LSTMs, graph neural networks), reinforcement learning, and generative AI (including large language models). These advancements aim to improve network management, enhance user experience, and enable more efficient and sustainable mobile communication systems.