Publications (20)
From Denoising to Decision Making: A Survey on Diffusion Model-Enabled Deep Reinforcement Learning for Wireless Networks
Nguyen Cong Luong, Zeping Sui, Jie Cao +9
Deep reinforcement learning (DRL) has long been a promising solution for sequential resource management in wireless networks. However, conventional DRL methods are fundamentally li…
Toward Robust Semantic Communications: Proactive Importance-Ordered Restructuring for Enhanced Unequal Error Protection
Xunyang Zhan, Jie Cao, Xu Zhu +3
Semantic communications (SemCom) is a promising task-oriented paradigm in which semantic features exhibit non-uniform importance. Consequently, unequal error protection (UEP), whic…
A Dynamic Hierarchical Framework for IoT-assisted Metaverse Synchronization
Yue Han, Dusit Niyato, Cyril Leung +5
Metaverse has recently attracted much attention from both academia and industry. Virtual services, ranging from virtual driver training to online route optimization for smart goods…
Transformer-Enhanced Reinforcement Learning: Fundamentals and Applications in Communication Networks
Nguyen Cong Luong, Shaohan Feng, Nguyen Duc Hai +10
Reinforcement Learning (RL) has long been a powerful solution to various problems in communication networks. However, traditional RL models still face with several limitations. Not…
Profit Maximization Auction and Data Management in Big Data Markets
Yutao Jiao, Ping Wang, Dusit Niyato +2
A big data service is any data-originated resource that is offered over the Internet. The performance of a big data service depends on the data bought from the data collectors. How…
Joint Service Pricing and Cooperative Relay Communication for Federated Learning
Shaohan Feng, Dusit Niyato, Ping Wang +2
For the sake of protecting data privacy and due to the rapid development of mobile devices, e.g., powerful central processing unit (CPU) and nascent neural processing unit (NPU), c…