Hybrid machine-learning-based spectrum sensing and allocation with adaptive congestion-aware modeling in CR-assisted IoV networks

R Ahmed, Y Chen, B Hassan, L Du… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Unlicensed cognitive-radio (CR)-assisted Internet of Vehicles (IoV) users can access
licensed providers' radio spectrum and concurrently utilize the dedicated channel for data …

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 …

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 …

Cognitive radio‐enabled Internet of Vehicles: a cooperative spectrum sensing and allocation for vehicular communication

J Eze, S Zhang, E Liu, E Eze - IET Networks, 2018 - Wiley Online Library
Internet of Things (IoTs) era is expected to empower all aspects of Intelligent Transportation
System (ITS) to improve transport safety and reduce road accidents. US Federal …

Machine learning-based cooperative spectrum sensing in dynamic segmentation enabled cognitive radio vehicular network

MA Hossain, R Md Noor, KLA Yau, SR Azzuhri… - Energies, 2021 - mdpi.com
A vehicle ad hoc network (VANET) is a solution for road safety, congestion management,
and infotainment services. Integration of cognitive radio (CR), known as CR-VANET, is …

CR-IoTNet: Machine learning based joint spectrum sensing and allocation for cognitive radio enabled IoT cellular networks

R Ahmed, Y Chen, B Hassan, L Du - Ad Hoc Networks, 2021 - Elsevier
In recent years, the Internet of Things (IoT) paradigm has gained much popularity due to its
potential ability to integrate the physical world with the digital world. However, this digital …

Artificial intelligence inspired transmission scheduling in cognitive vehicular communications and networks

K Zhang, S Leng, X Peng, L Pan… - IEEE internet of …, 2018 - ieeexplore.ieee.org
The Internet of Things (IoT) platform has played a significant role in improving road transport
safety and efficiency by ubiquitously connecting intelligent vehicles through wireless …

Cognitive carrier resource optimization for internet-of-vehicles in 5g-enhanced smart cities

F Li, KY Lam, Z Ni, D Niyato, X Liu, L Wang - IEEE Network, 2021 - ieeexplore.ieee.org
Internet-of-Vehicles (IoV), an important part of Intelligent Transportation Systems, is one of
the most strategic applications in smart cities initiatives. The mMTC and URLLC functions of …

On the performance of cognitive internet-of-vehicles with unlicensed user-mobility and licensed user-activity

DB Rawat, R Alsabet, C Bajracharya, M Song - Computer Networks, 2018 - Elsevier
Abstract Internet of Vehicles (IoV) is regarded as an emerging concept for intelligent
transportation cyber-physical systems. Due to the limited number of channels available in …

Deep reinforcement learning-based spectrum allocation algorithm in Internet of vehicles discriminating services

Z Guan, Y Wang, M He - Applied Sciences, 2022 - mdpi.com
With the rapid development of global automotive industry intelligence and networking, the
Internet of Vehicles (IoV) service, as a key communication technology, has been faced with …