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 …
Adaptive swarm intelligent offloading based on digital twin-assisted prediction in VEC
Vehicular Edge Computing (VEC) is the transportation version of Mobile Edge Computing
(MEC). In VEC, task offloading enables vehicles to offload computing tasks to nearby …
(MEC). In VEC, task offloading enables vehicles to offload computing tasks to nearby …
A Deep-Reinforcement-Learning-Based Computation Offloading With Mobile Vehicles in Vehicular Edge Computing
Vehicular edge networks involve edge servers that are close to mobile devices to provide
extra computation resource to complete the computation tasks of mobile devices with low …
extra computation resource to complete the computation tasks of mobile devices with low …
Consortium blockchain-based security and efficient resource trading in V2V-assisted intelligent transport systems
P Liu, W Jing, X Fu, Y Xiao, L Jia - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
As an effective method to increase the computing capability of vehicles, vehicle-to-vehicle
(V2V) assisted vehicular edge computing (VEC) has great potential to reduce infrastructure …
(V2V) assisted vehicular edge computing (VEC) has great potential to reduce infrastructure …
MADRL-based URLLC-aware task offloading for air-ground vehicular cooperative computing network
P Qin, Y Wang, Z Cai, J Liu, J Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the rapid development of 5G and Internet of Vehicles (IoV) technologies, vehicles have
evolved from mere transportation devices to mobile living spaces for humans. Thus, the …
evolved from mere transportation devices to mobile living spaces for humans. Thus, the …
Comprehensive analysis on vehicle-to-vehicle communication using intelligent transportation system
Nowadays, a high-speed communication process has been done by using Fifth generation
(5G) Long-Term Evolution (LTE) channel technology. When 5G communication process is …
(5G) Long-Term Evolution (LTE) channel technology. When 5G communication process is …
Cmp: Cooperative motion prediction with multi-agent communication
The confluence of the advancement of Autonomous Vehicles (AVs) and the maturity of
Vehicle-to-Everything (V2X) communication has enabled the capability of cooperative …
Vehicle-to-Everything (V2X) communication has enabled the capability of cooperative …
Identifier-Driven Resource Orchestration With Quantum Computing for Differentiated Services in IoT-MMEC Networks
The prevalence of Artificial Intelligence and Multi-access Mobile Edge Computing (MMEC)
technologies has laid a solid foundation for next-generation Internet of Things (IoT) …
technologies has laid a solid foundation for next-generation Internet of Things (IoT) …
Predictive Computation Offloading and Resource Allocation in DT-Empowered Vehicular Networks
To provide a better support for various vehicular applications, digital twin (DT), as an
emerging technology, can enable a virtual presentation of physical vehicular networks to …
emerging technology, can enable a virtual presentation of physical vehicular networks to …
[HTML][HTML] Cross-domain resources optimization for hybrid edge computing networks: federated DRL approach
X Song, Q Chen, S Wang, T Song - Digital Communications and Networks, 2024 - Elsevier
Due to the dynamic nature of service requests and the uneven distribution of services in the
Internet of Vehicles (IoV), Multi-access Edge Computing (MEC) networks with pre-installed …
Internet of Vehicles (IoV), Multi-access Edge Computing (MEC) networks with pre-installed …