Future Wireless Network

Future wireless networks aim to deliver significantly improved performance and efficiency, focusing on low latency, high reliability, and intelligent resource management. Current research heavily utilizes artificial intelligence, particularly deep reinforcement learning and generative AI models, along with digital twin technology for network optimization and prediction of quality of service (QoS). These advancements are crucial for enabling emerging applications like autonomous driving and the Internet of Things, impacting both the scientific understanding of complex network systems and the practical deployment of next-generation wireless infrastructure. Federated learning is also gaining traction to address privacy concerns while leveraging the computational power of edge devices.