A deep reinforcement learning-based resource management game in vehicular edge computing

X Zhu, Y Luo, A Liu, NN Xiong… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) is a promising paradigm that leverages the vehicles to
offload computation tasks to the nearby VEC server with the aim of supporting the low …

Joint deployment and trajectory optimization in UAV-assisted vehicular edge computing networks

Z Wu, Z Yang, C Yang, J Lin, Y Liu… - … of Communications and …, 2021 - ieeexplore.ieee.org
As the general mobile edge computing (MEC) scheme cannot adequately handle the
emergency communication requirements in vehicular networks, unmanned aerial vehicle …

Toward response time minimization considering energy consumption in caching-assisted vehicular edge computing

C Tang, C Zhu, H Wu, Q Li… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The advent of vehicular edge computing (VEC) has generated enormous attention in recent
years. It pushes the computational resources in close proximity to the data sources and thus …

A comprehensive review of computing paradigms, enabling computation offloading and task execution in vehicular networks

A Waheed, MA Shah, SM Mohsin, A Khan… - IEEE …, 2022 - ieeexplore.ieee.org
Road safety, optimized traffic management, and passenger comfort have always been the
primary goals of the vehicle networking research community. Advances in computer and …

Applications of game theory in vehicular networks: A survey

Z Sun, Y Liu, J Wang, G Li, C Anil, K Li… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
In the Internet of Things (IoT) era, vehicles and other intelligent components in an intelligent
transportation system (ITS) are connected, forming vehicular networks (VNs) that provide …

Stochastic congestion game for load balancing in mobile-edge computing

F Zhang, MM Wang - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Mobile-edge computing can reduce task execution delay and improve the Quality of
Experience (QoE) for the network edge users. However, when there are multiple …

Learning driven NOMA assisted vehicular edge computing via underlay spectrum sharing

L Qian, Y Wu, N Yu, F Jiang, H Zhou… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Edge computing has been considered as one of the key paradigms in the fifth-generation
(5G) networks for enabling computation-intensive yet latency-sensitive vehicular Internet …

Learning based channel allocation and task offloading in temporary UAV-assisted vehicular edge computing networks

C Yang, B Liu, H Li, B Li, K Xie… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
High-level autonomous decision making system is one of the key technologies in intelligent
transportation networks, it requires the traffic information within a certain range of vehicles in …

Energy optimization in dual-RIS UAV-aided MEC-enabled internet of vehicles

ET Michailidis, NI Miridakis, A Michalas, E Skondras… - Sensors, 2021 - mdpi.com
Mobile edge computing (MEC) represents an enabling technology for prospective Internet of
Vehicles (IoV) networks. However, the complex vehicular propagation environment may …

Decentralized edge-to-cloud load balancing: Service placement for the Internet of Things

Z Nezami, K Zamanifar, K Djemame… - IEEE Access, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) requires a new processing paradigm that inherits the scalability
of the cloud while minimizing network latency using resources closer to the network edge …