most citedSpectrum Prediction With Deep 3D Pyramid Vision Transformer Learning

1 citations · 1 across the 2 of their papers we have counts for

collaborators

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★ 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…