Big data analytics deep learning techniques and applications: A survey
HA Selmy, HK Mohamed, W Medhat - Information Systems, 2023 - Elsevier
Deep learning (DL), as one of the most active machine learning research fields, has
achieved great success in numerous scientific and technological disciplines, including …
achieved great success in numerous scientific and technological disciplines, including …
[HTML][HTML] RNN-BIRNN-LSTM based spectrum sensing for proficient data transmission in cognitive radio
EV Vijay, K Aparna - e-Prime-Advances in Electrical Engineering …, 2023 - Elsevier
With the advancements that are taking place in the wireless communications field, the
number of users who are utilizing resources is also increasing; as a result, the wireless …
number of users who are utilizing resources is also increasing; as a result, the wireless …
A Deep Long-Term Joint Temporal–Spectral Network for Spectrum Prediction
L Wang, J Hu, R Jiang, Z Chen - Sensors, 2024 - mdpi.com
Spectrum prediction is a promising technique to release spectrum resources and plays an
essential role in cognitive radio networks and spectrum situation generating. Traditional …
essential role in cognitive radio networks and spectrum situation generating. Traditional …
On the performance of outage probability in cognitive NOMA random networks with hardware impairments
P Thi Dan Ngoc, TT Duy, N Luong Nhat… - Journal of Information …, 2023 - Taylor & Francis
The performance of the cognitive non-orthogonal multiple access (NOMA) systems with
random locations is examined in the present paper. More precisely, the positions of the …
random locations is examined in the present paper. More precisely, the positions of the …
Context-Aware Spectrum Decision and Prediction Using Crowd-Sensing
H Shirvani, BS Ghahfarokhi - Wireless Personal Communications, 2024 - Springer
The ever-increasing demand for the wireless communications specially in sub-6 GHz
frequency ranges has led to radio resource scarcity where opportunistic spectrum access is …
frequency ranges has led to radio resource scarcity where opportunistic spectrum access is …
[HTML][HTML] Improved Spectrum Prediction Model for Cognitive Radio Networks Using Hybrid Deep Learning Technique
MG Sumithra, M Suriya - International Journal of Intelligent Networks, 2024 - Elsevier
Cognitive Radio (CR) technology has been highlighted as one of the most likely answers to
the issue of spectrum shortage with the rise of fifth generation and beyond communication …
the issue of spectrum shortage with the rise of fifth generation and beyond communication …
Spectrum Sensing Using SVM Based Energy Detection in Cognitive Radio Systems
Cognitive Radio (CR) is an intelligent wireless communication system, capable of improving
the spectral environment utilization. Spectrum sensing is one of the most important phases …
the spectral environment utilization. Spectrum sensing is one of the most important phases …
Energy Harvesting Overlay Networks: Performance Evaluation
VK Ho - … on Advanced Technologies for Communications (ATC), 2023 - ieeexplore.ieee.org
Our work exploits multiple antennas to ameliorate communication reliability and energy
harvesting efficiency for energy harvesting overlay networks (EHONs). The performance of …
harvesting efficiency for energy harvesting overlay networks (EHONs). The performance of …