5 papers
Artificial Intelligence for Spatially Reconfigurable Antennas: Movable, Fluid, and Pinching Antenna Systems
Nguyen Cong Luong, Zeping Sui, Thai-Hoc Vu +10
Recently, sixth-generation (6G) wireless networks have moved beyond fixed-array designs toward antenna architectures that can adapt their spatial configuration to specific environm…
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…
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…
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…
Incentive Mechanism Design for Resource Management in Satellite Networks: A Comprehensive Survey
Nguyen Cong Luong, Zeping Sui, Duc Van Le +7
Resource management is one of the challenges in satellite networks due to their high mobility, wide coverage, long propagation distances, and stringent constraints on energy, commu…