Deep learning-based selective spectrum sensing and allocation in cognitive vehicular radio networks

A Paul, K Choi - Vehicular Communications, 2023 - Elsevier
The main challenge with Vehicular Ad-Hoc Networks (VANETs) for assisting Intelligent
Transportation Services (ITSs) is ensuring effective data delivery under various network …

An Effective Hybrid Spectrum Sensing Methodology in Cognitive Radio Network Using Deep Temporal Convolution Network

R KoteswaraRao, C Sharanya - 2023 4th International …, 2023 - ieeexplore.ieee.org
“Spectrum sensing is a crucial component in Cognitive Radio Networks (CRN)”. CRN
systems' capacity to reliably and quickly sense the principal signal is a vital requirement …

[PDF][PDF] Intelligent Traffic Light System using Deep Reinforcement Learning

R Yauri, F Silva, A Huaccho, O Llerena… - WSEAS Transactions on …, 2023 - wseas.com
Currently, population growth in cities results in an increase in urban vehicle traffic. That is
why it is necessary to improve the quality of life of citizens based on the improvement of …

Intelligent traffic light system using deep reinforcement learning

R Yauri Rodríguez, F Silva, A Huaccho, O Llerena - 2023 - repositorio.utp.edu.pe
Currently, population growth in cities results in an increase in urban vehicle traffic. That is
why it is necessary to improve the quality of life of citizens based on the improvement of …