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A review of deep learning techniques for enhancing spectrum sensing and prediction in cognitive radio systems: approaches, datasets, and challenges
Cognitive radio (CR) is an emerging wireless technology designed to optimize frequency
band usage and address spectrum shortages. Spectrum sensing and prediction are crucial …
band usage and address spectrum shortages. Spectrum sensing and prediction are crucial …
Robust channel invariant deep noncooperative spectrum sensing
Deep learning (DL) has been introduced to cognitive radio network to solve the problem of
spectrum scarcity and further enhance the spectrum utilization. However, many DL-based …
spectrum scarcity and further enhance the spectrum utilization. However, many DL-based …
[HTML][HTML] OFDM sensing based on deep learning
S Zheng, F Wei, X Zhou, F Gu, K Yue, C Lou… - Physical …, 2023 - Elsevier
Detection of OFDM signals has received paramount interest especially for spectrum sensing
in cognitive radios. We present a deep learning-based OFDM signal detection method …
in cognitive radios. We present a deep learning-based OFDM signal detection method …
SCM-GNN: A Graph Neural Network-Based Multi-Antenna Spectrum Sensing in Cognitive Radio
Y Dong, M Zhang, X Cheng… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Spectrum Sensing plays a crucial role in cognitive radio and serves as a fundamental
requirement for achieving dynamic spectrum access. This work investigates a novel multi …
requirement for achieving dynamic spectrum access. This work investigates a novel multi …