3 papers
eess.SP2026
Radio Map Updating from Streaming Spectrum Measurements via Memory-Based Online Gaussian Processes
Yuanyuan Deng, Bo Zhou, Tian Chen +5
Radio maps, which estimate spatial radio-frequency characteristics from spectrum measurements, are essential for applications such as spectrum management and network planning. With…
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…