27 citations · 28 across the 6 of their papers we have counts for
7 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…
A Constrained Deep Reinforcement Learning Optimization for Reliable Network Slicing in a Blockchain-Secured Low-Latency Wireless Network
Xin Hao, Phee Lep Yeoh, Changyang She +3
Network slicing (NS) is a promising technology that supports diverse requirements for next-generation low-latency wireless communication networks. However, the tampering attack is…
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,…
Graph Neural Network-Based Bandwidth Allocation for Secure Wireless Communications
Xin Hao, Phee Lep Yeoh, Yuhong Liu +3
This paper designs a graph neural network (GNN) to improve bandwidth allocations for multiple legitimate wireless users transmitting to a base station in the presence of an eavesdr…
Secure Deep Reinforcement Learning for Dynamic Resource Allocation in Wireless MEC Networks
Xin Hao, Phee Lep Yeoh, Changyang She +2
This paper proposes a blockchain-secured deep reinforcement learning (BC-DRL) optimization framework for {data management and} resource allocation in decentralized {wireless mobile…