3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.NI2024★ 1 cited
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,…
cs.IT2023
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…
eess.SP2022★ 3 cited
Interference-Limited Ultra-Reliable and Low-Latency Communications: Graph Neural Networks or Stochastic Geometry?
Yuhong Liu, Changyang She, Yi Zhong +3
In this paper, we aim to improve the Quality-of-Service (QoS) of Ultra-Reliability and Low-Latency Communications (URLLC) in interference-limited wireless networks. To obtain time…