5 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…
Agentic Open RAN: A Deterministic and Auditable Framework for Intent-Driven Radio Control
Hengxu Li, Dongkuan Xu, Mingzhe Chen +1
Large language models (LLMs) open new possibilities for agentic control in Open RAN, allowing operators to express intents in natural language while delegating low-level execution…
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…
Optimizing Communication and Device Clustering for Clustered Federated Learning with Differential Privacy
Dongyu Wei, Xiaoren Xu, Shiwen Mao +1
In this paper, a secure and communication-efficient clustered federated learning (CFL) design is proposed. In our model, several base stations (BSs) with heterogeneous task-handlin…