Wireless Network

Wireless networks are undergoing a transformation driven by the integration of artificial intelligence, aiming to improve efficiency, reliability, and security in increasingly complex and resource-constrained environments. Current research focuses on optimizing network performance through techniques like federated learning (with adaptive quantization and client sampling), reinforcement learning (for resource allocation and UAV path planning), and the application of large language models and graph neural networks for intelligent network management and resource optimization. These advancements are crucial for enabling next-generation applications like the Metaverse and supporting the demands of the Internet of Things, impacting both the theoretical understanding of wireless systems and their practical deployment.