Survey on artificial intelligence (AI) techniques for vehicular ad-hoc networks (VANETs)
A Mchergui, T Moulahi, S Zeadally - Vehicular Communications, 2022 - Elsevier
Advances in communications, smart transportation systems, and computer systems have
recently opened up vast possibilities of intelligent solutions for traffic safety, convenience …
recently opened up vast possibilities of intelligent solutions for traffic safety, convenience …
Smart electric vehicle charging in the era of internet of vehicles, emerging trends, and open issues
The Internet of Vehicles (IoV), where people, fleets of electric vehicles (EVs), utility, power
grids, distributed renewable energy, and communications and computing infrastructures are …
grids, distributed renewable energy, and communications and computing infrastructures are …
Machine learning aided air traffic flow analysis based on aviation big data
Timely and efficient air traffic flow management (ATFM) is a key issue in future dense air
traffic. The emerging demands for unmanned aerial vehicles and general aviation aircraft …
traffic. The emerging demands for unmanned aerial vehicles and general aviation aircraft …
Machine learning-based handovers for sub-6 GHz and mmWave integrated vehicular networks
The integration of sub-6 GHz and millimeter wave (mmWave) bands has a great potential to
enable both reliable coverage and high data rate in future vehicular networks. Nevertheless …
enable both reliable coverage and high data rate in future vehicular networks. Nevertheless …
A low-latency content dissemination scheme for mmWave vehicular networks
Y Wu, L Yan, X Fang - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
In future vehicular networks, to satisfy the ever-increasing capacity requirements, ultrahigh-
speed directional millimeter-wave (mmWave) communications will be used as vehicle-to …
speed directional millimeter-wave (mmWave) communications will be used as vehicle-to …
Proactive mobility management with trajectory prediction based on virtual cells in ultra-dense networks
Ultra-dense networking (UDN) is a promising technology to improve the network capacity in
the next-generation mobile communication system. The virtualization paradigm is tightly …
the next-generation mobile communication system. The virtualization paradigm is tightly …
Deep reinforcement learning-based optimization for end-to-end network slicing with control-and user-plane separation
Control-and user-plane separation (CUPS) and network slicing are two key technologies to
support increasing network traffic and diverse wireless services. However, the benefit of …
support increasing network traffic and diverse wireless services. However, the benefit of …
Determinants of users' attitude and intention to intelligent connected vehicle infotainment in the 5G-V2X mobile ecosystem
Z Yu, D Jin - International journal of environmental research and …, 2021 - mdpi.com
With the accelerating industrialization of 5G-V2X and smart automobiles, the intelligent
connected vehicle (ICV) integrated with sophisticated communication, caching, computing …
connected vehicle (ICV) integrated with sophisticated communication, caching, computing …
Performance analysis and adaptive DRX scheme for dual connectivity
L Sharma, BB Kumar, SL Wu - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
The 3GPP (Rel. 12 and Rel. 16) introduces and explores the dual connectivity (DC). It is one
of the most important future technologies adopted by 5G. It enhances the throughput and …
of the most important future technologies adopted by 5G. It enhances the throughput and …
An efficient and privacy-preserving query scheme in intelligent transportation systems
L Tang, M He, L Xiong, N Xiong, Q Luo - Information Sciences, 2023 - Elsevier
Privacy preservation is a crucial aspect of intelligent transportation systems, particularly in
queries involving sensitive data stored in the Cloud. However, resource-constrained …
queries involving sensitive data stored in the Cloud. However, resource-constrained …