9 papers
SparsePilot: Belief-Guided Network Planning under Sparse Wireless Measurements
Xuanhao Luo, Jiayuan Huang, Longyu Zhou +2
Unmanned aerial vehicles (UAVs) have emerged as a promising solution for on-demand wireless coverage planning in urban environments. Existing learning-based UAV control methods, ho…
Network Digital Untwinning: Towards Backward Optimization of Digital Twins
Zifan Zhang, Dianwei Chen, Anjun Gao +5
Network digital twins (NDTs) are transforming network management by offering precise virtual replicas of physical network systems. However, their reliance on diverse and sensitive…
On Transferring, Merging, and Splitting Task-Oriented Network Digital Twins
Zifan Zhang, Minghong Fang, Mingzhe Chen +1
The integration of digital twinning technologies is driving next-generation networks toward new capabilities, allowing operators to thoroughly understand network conditions, effici…
Digital Network Twins for Next-generation Wireless: Creation, Optimization, and Challenges
Zifan Zhang, Zhiyuan Peng, Hanzhi Yu +2
Digital network twins (DNTs), by representing a physical network using a virtual model, offer significant benefits such as streamlined network development, enhanced productivity, a…
Contrastive Language-Image Pre-Training Model based Semantic Communication Performance Optimization
Shaoran Yang, Dongyu Wei, Hanzhi Yu +3
In this paper, a novel contrastive language-image pre-training (CLIP) model based semantic communication framework is designed. Compared to standard neural network (e.g.,convolutio…
Continual Reinforcement Learning for Digital Twin Synchronization Optimization
Haonan Tong, Mingzhe Chen, Jun Zhao +4
This article investigates the adaptive resource allocation scheme for digital twin (DT) synchronization optimization over dynamic wireless networks. In our considered model, a base…