User-oriented virtual mobile network resource management for vehicle communications

H Lu, Y Zhang, Y Li, C Jiang… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Currently, advanced communications and networks greatly enhance user experiences and
have a major impact on all aspects of people's lifestyles in terms of work, society, and the …

Intelligent resource allocation management for vehicles network: An A3C learning approach

M Chen, T Wang, K Ota, M Dong, M Zhao… - Computer Communications, 2020 - Elsevier
With the increasing demand of users for high-speed, low-delay and high-reliability services
in connected vehicles network, wireless networks with communication, caching and …

Multi-objective optimization for resource allocation in vehicular cloud computing networks

W Wei, R Yang, H Gu, W Zhao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Modern transportation is associated with considerable challenges related to safety, mobility,
the environment and space limitations. Vehicular networks are widely considered to be a …

Reinforcement learning enabled dynamic resource allocation in the internet of vehicles

H Liang, X Zhang, X Hong, Z Zhang… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
As an important application scenario of the industrial Internet of things, the Internet of
Vehicles can significantly improve road safety, improve traffic management efficiency, and …

Integrated networking, caching, and computing for connected vehicles: A deep reinforcement learning approach

Y He, N Zhao, H Yin - IEEE transactions on vehicular …, 2017 - ieeexplore.ieee.org
The developments of connected vehicles are heavily influenced by information and
communications technologies, which have fueled a plethora of innovations in various areas …

5G vehicular network resource management for improving radio access through machine learning

SK Tayyaba, HA Khattak, A Almogren, MA Shah… - IEEE …, 2020 - ieeexplore.ieee.org
The current cellular technology and vehicular networks cannot satisfy the mighty strides of
vehicular network demands. Resource management has become a complex and …

Big data analytics and network calculus enabling intelligent management of autonomous vehicles in a smart city

Q Cui, Y Wang, KC Chen, W Ni, IC Lin… - IEEE Internet of …, 2018 - ieeexplore.ieee.org
Artificial intelligence (AI) and big data analytics enable autonomous vehicles (AVs) to
dramatically change future intelligent transportation in smart cities. AVs are envisaged to …

Service-oriented dynamic connection management for software-defined internet of vehicles

J Chen, H Zhou, N Zhang, W Xu, Q Yu… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Internet of vehicles (IoV) is an emerging paradigm for accommodating the requirements of
future intelligent transportation systems (ITSs) with the overwhelming trend of equipping …

Quality of service optimization in an IoT-driven intelligent transportation system

AH Sodhro, MS Obaidat, QH Abbasi… - IEEE Wireless …, 2019 - ieeexplore.ieee.org
High mobility in ITS, especially V2V communication networks, allows increasing coverage
and quick assistance to users and neighboring networks, but also degrades the …

Offloading mobile data traffic for QoS-aware service provision in vehicular cyber-physical systems

S Wang, T Lei, L Zhang, CH Hsu, F Yang - Future Generation Computer …, 2016 - Elsevier
Owing to the increasing number of vehicles in vehicular cyber-physical systems (VCPSs)
and the growing popularity of various services or applications for vehicles, cellular networks …