Delay-aware edge-terminal collaboration in green Internet of Vehicles: A multi-agent soft actor-critic approach
The high performance requirement of task processing and low energy consumption
requirement of network operation result in a contradiction for the Internet of Vehicles (IoV) …
requirement of network operation result in a contradiction for the Internet of Vehicles (IoV) …
Multi-Agent Reinforcement Learning Based Cooperative Multitype Task Offloading Strategy for Internet of Vehicles in B5G/6G Network
Y Cui, H Li, D Zhang, A Zhu, Y Li… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
With the development of intelligent transportation, various computation intensive and delay
sensitive applications are emerging in the Internet of Vehicles (IoV). The B5G/6G (Beyond …
sensitive applications are emerging in the Internet of Vehicles (IoV). The B5G/6G (Beyond …
Intelligent resource management based on reinforcement learning for ultra-reliable and low-latency IoV communication networks
Internet of Vehicles (IoV) has attracted much interest recently due to its ubiquitous message
exchange and content sharing among smart vehicles with the development of the mobile …
exchange and content sharing among smart vehicles with the development of the mobile …
Green Internet of vehicles: Architecture, enabling technologies, and applications
H Chen, T Zhao, C Li, Y Guo - IEEE Access, 2019 - ieeexplore.ieee.org
With the development of Internet of Vehicles (IoV) and the gradual maturity of 5th Generation
Mobile Networks (5G) technology, the further development of the IoV highly relies on …
Mobile Networks (5G) technology, the further development of the IoV highly relies on …
RADiT: Resource allocation in digital twin-driven UAV-aided internet of vehicle networks
B Hazarika, K Singh, CP Li… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
Digital twin (DT) has emerged as a promising technology for improving resource allocation
decisions in Internet of Vehicles (IoV) networks. In this paper, we consider an IoV network …
decisions in Internet of Vehicles (IoV) networks. In this paper, we consider an IoV network …
SAC-based resource allocation for computation offloading in IoV networks
Due to the dynamic nature of a vehicular fog computing environment, efficient real-time
resource allocation in an internet of vehicles (IoV) network without affecting the quality of …
resource allocation in an internet of vehicles (IoV) network without affecting the quality of …
Delay constrained hybrid task offloading of internet of vehicle: a deep reinforcement learning method
The rapid development of the Internet of Things (IoTs) has driven the progress of intelligent
transportation systems (ITS), which provides basic elements, such as vehicles, traffic lights …
transportation systems (ITS), which provides basic elements, such as vehicles, traffic lights …
Green heterogeneous computing powers allocation using reinforcement learning in sdn-iov
In the era of 6G-driven Internet of Vehicles (IoV), the form of services centered on computing
power has promoted the development of applications such as In-Vehicle Infotainment (IVI) …
power has promoted the development of applications such as In-Vehicle Infotainment (IVI) …
Resource allocation in dt-assisted internet of vehicles via edge intelligent cooperation
Applications in the Internet of Vehicles (IoV) are usually accompanied by ultralow network
response latency requirement. A promising approach to meet this demand is combining the …
response latency requirement. A promising approach to meet this demand is combining the …
DRL-based resource allocation for computation offloading in IoV networks
Due to the dynamic nature of a vehicular fog computing environment, efficient real-time
resource allocation in an Internet of Vehicles (IoV) network without affecting the quality of …
resource allocation in an Internet of Vehicles (IoV) network without affecting the quality of …