Cooperative Spectrum Sensing Approach in C-V2X based on Multi-Agent Reinforcement Learning

P Li, XL Huang - 2023 17th International Conference on …, 2023 - ieeexplore.ieee.org
In cellular vehicle-to-everything (C-V2X) Mode 4, the autonomous mode is based on
spectrum sensing for vehicles selecting spectrum resources, however, the spectrum sensing …

Multiband Cooperative Spectrum Sensing Meets Vehicular Network: Relying on CNN‐LSTM Approach

L Lu, X Li, G Wang, W Ni - Wireless Communications and …, 2023 - Wiley Online Library
A vehicular network is expected to empower all aspects of the intelligent transportation
system (ITS) and aim at improving road safety and traffic efficiency. In view of the fact that …

Quantized cooperative spectrum sensing in bandwidth-constrained cognitive V2X based on deep learning

J Li, BJ Hu - Electronics, 2021 - mdpi.com
The output of the network in a deep learning (DL) based single-user signal detector, which is
a normalized 2× 1 class score vector, needs to be transmitted to the fusion center (FC) by …

Dynamic spectrum access for C-V2X via imitating indian buffet process

P Li, XW Tang, XL Huang, F Hu - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
In dense traffic cases, the channels among vehicles and infrastructures in cellular vehicle-to-
everything (C-V2X) network are likely to be congested. Vehicles can select spectrum …

Machine Learning Based Cooperative Spectrum Sensing Using Regression Methods

SL Reddy, M Meena - 2023 3rd International Conference on …, 2023 - ieeexplore.ieee.org
New cooperative spectrum sensing (CSS), it encounters better spectrum efficiency, has
come into existence as a new strategy. In this study, techniques based on machine learning …

Cooperative Spectrum Sensing with Deep Q-Network for Multimedia Applications

Q Wu, BK Ng, H Zhu, CT Lam - Proceedings of the 2023 Workshop on …, 2023 - dl.acm.org
With the gradually stricter requirement for multimedia applications, spectrum inefficiencies
are urgent to be relieved by sensing and utilizing Spectrum Holes (SHs) over a wide …

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 …

Dynamic cooperative spectrum sensing based on deep multi-user reinforcement learning

S Liu, J He, J Wu - Applied Sciences, 2021 - mdpi.com
Dynamic spectrum access (DSA) has been considered as a promising technology to
address spectrum scarcity and improve spectrum utilization. Normally, the channels are …

Reinforcement learning for performance improvement in cooperative spectrum sensing

R Kumar, A Parmar, K Captain, J Patel - Physical Communication, 2023 - Elsevier
Cognitive radio (CR) can provide a promising solution to the spectrum scarcity issue for
upcoming wireless communication technologies. Cooperative spectrum sensing (CSS) is …

Joint collaborative big spectrum data sensing and reinforcement learning based dynamic spectrum access for cognitive internet of vehicles

X Liu, C Sun, KLA Yau, C Wu - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Cognitive Internet of Vehicles (CIoV) is an intelligent vehicle network envisioned to
opportunistically access spectrum licensed to primary users (PUs) on the premise of not …