G Wireless
G Wireless research centers on leveraging artificial intelligence (AI) and machine learning (ML) to optimize and enhance the performance of next-generation (5G and 6G) wireless networks. Current research focuses on applying various ML models, including deep neural networks, reinforcement learning, and generative adversarial networks, to address challenges such as resource allocation, beam management, anomaly detection, and semantic communication. These advancements aim to improve network efficiency, security, and user experience, impacting both the development of standardized AI frameworks for 6G and the practical deployment of AI-driven solutions in diverse applications like autonomous driving and the metaverse.
Papers
On-Demand Resource Management for 6G Wireless Networks Using Knowledge-Assisted Dynamic Neural Networks
Longfei Ma, Nan Cheng, Xiucheng Wang, Ruijin Sun, Ning Lu
Generative Adversarial Learning for Intelligent Trust Management in 6G Wireless Networks
Liu Yang, Yun Li, Simon X. Yang, Yinzhi Lu, Tan Guo, Keping Yu