Multi-user reinforcement learning based multi-reward for spectrum access in cognitive vehicular networks

L Chen, Q Zhao, K Fu, X Zhao, H Sun - Telecommunication Systems, 2023 - Springer
Abstract Cognitive Vehicular Networks (CVNs) can improve spectrum utilization by
intelligently using idle spectrum, so as to fulfill the needs of communication. The previous …

A multi-channel and multi-user dynamic spectrum access algorithm based on deep reinforcement learning in Cognitive Vehicular Networks with sensing error

L Chen, K Fu, Q Zhao, X Zhao - Physical Communication, 2022 - Elsevier
In this paper, a spectrum access problem is proposed to improve the spectrum access rates
of secondary vehicles in Cognitive Vehicular Networks, where the channel capacity …

Reinforcement learning based dynamic spectrum access in cognitive internet of vehicles

X Liu, C Sun, M Zhou, B Lin, Y Lim - China Communications, 2021 - ieeexplore.ieee.org
Cognitive Internet of Vehicles (CIoV) can improve spectrum utilization by accessing the
spectrum licensed to primary user (PU) under the premise of not disturbing the PU's …

Federated Deep Reinforcement Learning-Based Spectrum Access Algorithm With Warranty Contract in Intelligent Transportation Systems

R Zhu, M Li, H Liu, L Liu, M Ma - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Cognitive radio (CR) provides an effective solution to meet the huge bandwidth
requirements in intelligent transportation systems (ITS), which enables secondary users …

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 …

Deep Reinforcement Learning-based Distributed Dynamic Spectrum Access in Multi-User Multi-channel Cognitive Radio Internet of Things Networks

X Zhang, Z Chen, Y Zhang, Y Liu… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Integrating cognitive radio into Internet of Things (IoT) is conducive to reducing spectrum
scarcity for large-scale IoT deployment, where a core technology is the design of spectrum …

[Retracted] Finder‐MCTS: A Cognitive Spectrum Allocation Based on Traveling State Priority and Scenario Simulation in IoV

Z Li, H Shao - Wireless Communications and Mobile …, 2021 - Wiley Online Library
With the increasing number of intelligent connected vehicles, the problem of scarcity of
communication resources has become increasingly obvious. It is a practical issue with …

Spectrum allocation strategies based on QoS in cognitive vehicle networks

R Li, P Zhu - IEEE Access, 2020 - ieeexplore.ieee.org
The vehicular ad hoc network (VANET) is an important part of modern intelligent
transportation systems (ITS), and its emergence has provided support for improving traffic …

Cooperative cognitive intelligence for internet of vehicles

A Paul, A Daniel, A Ahmad, S Rho - IEEE Systems Journal, 2015 - ieeexplore.ieee.org
To resolve the contradictions between the increasing demand of vehicular wireless
applications and the shortage of spectrum resources, high mobility, short link lifetime, and …

Cooperative multi-agent reinforcement-learning-based distributed dynamic spectrum access in cognitive radio networks

X Tan, L Zhou, H Wang, Y Sun, H Zhao… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
With the development of wireless communication and Internet of Things (IoT), there are
massive wireless devices that need to share the limited spectrum resources. Dynamic …