6 papers
Robust Beam Prediction for V2X Networks with Multi-Modal Sensing
Chen Shang, Dinh Thai Hoang, Diep N. Nguyen +1
Integrated sensing and communication (ISAC) provides a promising foundation for beam prediction in future vehicle-to-everything (V2X) networks. However, existing sensing-assisted b…
Spiking Personalized Federated Learning for Brain-Computer Interface-Enabled Immersive Communication
Chen Shang, Dinh Thai Hoang, Diep N. Nguyen +1
This work proposes a novel immersive communication framework that leverages brain-computer interface (BCI) to acquire brain signals for inferring user-centric states (e.g., intenti…
Energy-Efficient Learning-Based Beamforming for ISAC-Enabled V2X Networks
Chen Shang, Jiadong Yu, Dinh Thai Hoang
This work proposes an energy-efficient, learning-based beamforming scheme for integrated sensing and communication (ISAC)-enabled V2X networks. Specifically, we first model the dyn…
Multi-Modal Beamforming with Model Compression and Modality Generation for V2X Networks
Chen Shang, Dinh Thai Hoang, Jiadong Yu
Integrating sensing and communication (ISAC) is a promising technology for predictive beamforming in 6G vehicle-to-everything (V2X) networks. However, current ISAC paradigms rely s…
Energy-Efficient and Intelligent ISAC in V2X Networks with Spiking Neural Networks-Driven DRL
Chen Shang, Jiadong Yu, Dinh Thai Hoang
Integrated sensing and communication (ISAC) is emerging as a key enabler for vehicle-to-everything (V2X) systems. However, designing efficient beamforming schemes for ISAC signals…
Integrating Brain-Computer Interface and Neuromorphic Computing for Human Digital Twins
Chen Shang, Jiadong Yu, Dinh Thai Hoang
The integration of immersive communication into a human-centric ecosystem has intensified the demand for sophisticated Human Digital Twins (HDTs) driven by multifaceted human data.…