4 papers
Sample-Efficient Misconfiguration Classification for Network Resilience in Wireless Communications
Xin Hao, Massimo Piccardi, Chenhan Zhang +4
As modern wireless communication networks grow increasingly complex, network outages driven by the inconsistency between dynamic topologies and protocol configurations have become…
Enhancing Network Resilience via Graph-Based Anomaly Detection in Sovereign Functions
Xin Hao, Wei Ni, Chenhan Zhang +2
Sovereign network functions, e.g., routing protocols, are becoming increasingly complex and susceptible to failures arising from protocol configuration anomalies and anomalous conf…
Distributed Optimization-Learning with Graph Transformers for Terahertz Cell-Free Integrated Sensing and Communication Systems
Guangchen Wang, Zhifeng Tang, Nan Yang +2
In this paper, we propose a distributed optimization-learning framework for terahertz (THz) cell-free integrated sensing and communication (CF-ISAC) systems, termed Distributed Opt…
Hybrid-Task Meta-Learning: A GNN Approach for Scalable and Transferable Bandwidth Allocation
Xin Hao, Changyang She, Phee Lep Yeoh +3
In this paper, we develop a deep learning-based bandwidth allocation policy that is: 1) scalable with the number of users and 2) transferable to different communication scenarios,…