1 citations · 1 across the 5 of their papers we have counts for
5 papers
DRL Optimization Trajectory Generation via Wireless Network Intent-Guided Diffusion Models for Optimizing Resource Allocation
Junjie Wu, Xuming Fang, Dusit Niyato +2
With the rapid advancements in wireless communication fields, including low-altitude economies, 6G, and Wi-Fi, the scale of wireless networks continues to expand, accompanied by in…
Federated Deep Reinforcement Learning-Based Intelligent Channel Access in Dense Wi-Fi Deployments
Xinyang Du, Xuming Fang, Rong He +3
The IEEE 802.11 MAC layer utilizes the Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) mechanism for channel contention, but dense Wi-Fi deployments often cause hi…
Next-Generation Wi-Fi Networks with Generative AI: Design and Insights
Jingyu Wang, Xuming Fang, Dusit Niyato +1
Generative artificial intelligence (GAI), known for its powerful capabilities in image and text processing, also holds significant promise for the design and performance enhancemen…
An Integrated Communication and Computing Scheme for Wi-Fi Networks based on Generative AI and Reinforcement Learning
Xinyang Du, Xuming Fang
The continuous evolution of future mobile communication systems is heading towards the integration of communication and computing, with Mobile Edge Computing (MEC) emerging as a cr…
Collaborative Optimization of Wireless Communication and Computing Resource Allocation based on Multi-Agent Federated Weighting Deep Reinforcement Learning
Junjie Wu, Xuming Fang
As artificial intelligence (AI)-enabled wireless communication systems continue their evolution, distributed learning has gained widespread attention for its ability to offer enhan…