3 papers
eess.SP2024
Deep Learning for Spectrum Prediction in Cognitive Radio Networks: State-of-the-Art, New Opportunities, and Challenges
Guangliang Pan, David K. Y. Yau, Bo Zhou +1
Spectrum prediction is considered to be a promising technology that enhances spectrum efficiency by assisting dynamic spectrum access (DSA) in cognitive radio networks (CRN). Nonet…
eess.SP2024
Spectrum Prediction With Deep 3D Pyramid Vision Transformer Learning
Guangliang Pan, Qihui Wu, Bo Zhou +4
In this paper, we propose a deep learning (DL)-based task-driven spectrum prediction framework, named DeepSPred. The DeepSPred comprises a feature encoder and a task predictor, whe…
cs.LG2024
Unleashing the Power of Unlabeled Data: A Self-supervised Learning Framework for Cyber Attack Detection in Smart Grids
Hanyu Zeng, Pengfei Zhou, Xin Lou +3
Modern power grids are undergoing significant changes driven by information and communication technologies (ICTs), and evolving into smart grids with higher efficiency and lower op…