A review of deep learning techniques for enhancing spectrum sensing and prediction in cognitive radio systems: approaches, datasets, and challenges

N El-haryqy, Z Madini, Y Zouine - International Journal of …, 2024 - Taylor & Francis
Cognitive radio (CR) is an emerging wireless technology designed to optimize frequency
band usage and address spectrum shortages. Spectrum sensing and prediction are crucial …

Deep Learning-assisted Automatic Modulation Classification using Spectrograms

H Ouamna, A Kharbouche, Z Madini… - … , Technology & Applied …, 2025 - etasr.com
With the increasing demand for reliable and efficient V2X (Vehicle-to-Everything)
communications in cognitive radio environments, spectrum sharing becomes imperative. In …

Deep Learning for Future: Advancements and Prospects in Signal Denoising for Cognitive Radio

N El-haryqy, A Bousrout, Z Madini… - 2024 10th International …, 2024 - ieeexplore.ieee.org
Within communication systems, the challenge of noise and interference presents a
formidable barrier to reliable data transmission. While classical denoising methods have …

Robust Modulation Classification in the Presence of Realistic Propagation in Rural Environment

MA Anis, SA Elgamel, MA Elshafey… - 2024 International …, 2024 - ieeexplore.ieee.org
Automatic Modulation Classification (AMC) is crucial for optimizing spectrum resources in
contemporary communication systems by determining the modulation type of received …

[PDF][PDF] RADIO FREQUENCY INTERFERENCE DETECTION AND AUTOMATIC MODULATION RECOGNITION BASED ON MASK RCNN

N El-haryqy, Z Madini, Y Zouine - researchgate.net
The increasing complexity of wireless communication conditions presents noteworthy
obstacles to the adaptability and flexibility of cognitive radio systems. The latter can alleviate …

[PDF][PDF] RFSTC-HIL: Generating Dataset of Relevant Features Signal Type Classification Based on Hardware–in–the-Loop

MA Aboelazm, MA Anis, SA Elgamel, MA Elshafey - bit.kuas.edu.tw
Wireless communication systems heavily depend on signal classification for applications
including spectrum monitoring, cognitive radio, and signal intelligence. Accuracy of artificial …