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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★ 1 cited
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…
eess.SP2024★ 4 cited
Multi-Channel Multi-Step Spectrum Prediction Using Transformer and Stacked Bi-LSTM
Guangliang Pan, Jie Li, Minglei Li
Spectrum prediction is considered as a key technology to assist spectrum decision. Despite the great efforts that have been put on the construction of spectrum prediction, achievin…