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 …

A new deep-Q-learning-based transmission scheduling mechanism for the cognitive Internet of Things

J Zhu, Y Song, D Jiang, H Song - IEEE Internet of Things …, 2017 - ieeexplore.ieee.org
Cognitive networks (CNs) are one of the key enablers for the Internet of Things (IoT), where
CNs will play an important role in the future Internet in several application scenarios, such as …

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 …

Historical spectrum sensing data mining for cognitive radio enabled vehicular ad-hoc networks

XL Huang, J Wu, W Li, Z Zhang… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
In vehicular ad-hoc network (VANET), the reliability of communication is associated with
driving safety. However, research shows that the safety-message transmission in VANET …

Cognitive radio for vehicular ad hoc networks (CR-VANETs): approaches and challenges

KD Singh, P Rawat, JM Bonnin - EURASIP journal on wireless …, 2014 - Springer
With growing interest in using cognitive radio (CR) technology in wireless communication
systems for vehicles, it is envisioned that future vehicles will be CR-enabled. This paper …

Advances in Machine Learning-Driven Cognitive Radio for Wireless Networks: A Survey

NA Khalek, DH Tashman… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The next frontier in wireless connectivity lies at the intersection of cognitive radio (CR)
technology and machine learning (ML), where intelligent networks can provide pervasive …

Cooperative communication aware link scheduling for cognitive vehicular networks

M Pan, P Li, Y Fang - IEEE Journal on Selected Areas in …, 2012 - ieeexplore.ieee.org
Throughput maximization is a key challenge for wireless applications in cognitive Vehicular
Ad-hoc Networks (C-VANETs). As a potential solution, cooperative communications, which …

Comprehensive survey of machine learning approaches in cognitive radio-based vehicular ad hoc networks

MA Hossain, RM Noor, KLA Yau, SR Azzuhri… - IEEE …, 2020 - ieeexplore.ieee.org
Nowadays, machine learning (ML), which is one of the most rapidly growing technical tools,
is extensively used to solve critical challenges in various domains. Vehicular ad hoc network …

RL-IoT: Reinforcement learning-based routing approach for cognitive radio-enabled IoT communications

TS Malik, KR Malik, A Afzal, M Ibrar… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Internet of Things (IoT) devices are widely being used in various smart applications and
being equipped with cognitive radio (CR) capabilities for dynamic spectrum allocation. Our …

Optimal channel access management with QoS support for cognitive vehicular networks

D Niyato, E Hossain, P Wang - IEEE Transactions on Mobile …, 2010 - ieeexplore.ieee.org
We consider the problem of optimal channel access to provide quality of service (QoS) for
data transmission in cognitive vehicular networks. In such a network, the vehicular nodes …