7 citations · 21 across the 6 of their papers we have counts for
6 papers
Adaptive Federated Pruning in Hierarchical Wireless Networks
Xiaonan Liu, Shiqiang Wang, Yansha Deng +1
Federated Learning (FL) is a promising privacy-preserving distributed learning framework where a server aggregates models updated by multiple devices without accessing their privat…
Goal-Oriented Semantic Communications for 6G Networks
Hui Zhou, Yansha Deng, Xiaonan Liu +2
Upon the arrival of emerging devices, including Extended Reality (XR) and Unmanned Aerial Vehicles (UAVs), the traditional communication framework is approaching Shannon's physical…
Learning-based Prediction, Rendering and Transmission for Interactive Virtual Reality in RIS-Assisted Terahertz Networks
Xiaonan Liu, Yansha Deng, Chong Han +1
The quality of experience (QoE) requirements of wireless Virtual Reality (VR) can only be satisfied with high data rate, high reliability, and low VR interaction latency. This high…
QoE Optimization for Live Video Streaming in UAV-to-UAV Communications via Deep Reinforcement Learning
Liyana Adilla binti Burhanuddin, Xiaonan Liu, Yansha Deng +2
A challenge for rescue teams when fighting against wildfire in remote areas is the lack of information, such as the size and images of fire areas. As such, live streaming from Unma…
Learning-based Prediction and Uplink Retransmission for Wireless Virtual Reality (VR) Network
Xiaonan Liu, Xinyu Li, Yansha Deng
Wireless Virtual Reality (VR) users are able to enjoy immersive experience from anywhere at anytime. However, providing full spherical VR video with high quality under limited VR i…
Learning-based Prediction, Rendering and Association Optimization for MEC-enabled Wireless Virtual Reality (VR) Network
Xiaonan Liu, Yansha Deng
Wireless-connected Virtual Reality (VR) provides immersive experience for VR users from any-where at anytime. However, providing wireless VR users with seamless connectivity and re…