4 citations · 5 across the 4 of their papers we have counts for
5 papers
Spectrum Prediction in the Fractional Fourier Domain with Adaptive Filtering
Yanghao Qin, Bo Zhou, Guangliang Pan +2
Accurate spectrum prediction is crucial for dynamic spectrum access (DSA) and resource allocation. However, due to the unique characteristics of spectrum data, existing methods bas…
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…
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…
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…
A Signal Detection Scheme Based on Deep Learning in OFDM Systems
Guangliang Pan, Zitong Liu, Wei Wang +1
Channel estimation and signal detection are essential steps to ensure the quality of end-to-end communication in orthogonal frequency-division multiplexing (OFDM) systems. In this…