[HTML][HTML] A survey on vehicular task offloading: Classification, issues, and challenges
Emerging vehicular applications with strict latency and reliability requirements pose high
computing requirements, and current vehicles' computational resources are not adequate to …
computing requirements, and current vehicles' computational resources are not adequate to …
[HTML][HTML] Machine learning in vehicular networking: An overview
As vehicle complexity and road congestion increase, combined with the emergence of
electric vehicles, the need for intelligent transportation systems to improve on-road safety …
electric vehicles, the need for intelligent transportation systems to improve on-road safety …
RL/DRL meets vehicular task offloading using edge and vehicular cloudlet: A survey
The last two decades have seen a clear trend toward crafting intelligent vehicles based on
the significant advances in communication and computing paradigms, which provide a safer …
the significant advances in communication and computing paradigms, which provide a safer …
Joint task offloading and resource allocation for multi-access edge computing assisted by parked and moving vehicles
In the Internet of Vehicles (IoV) scenarios, vehicles are equipped with computing resources
to support vehicle-oriented IoV applications. Meanwhile, these computing resources can be …
to support vehicle-oriented IoV applications. Meanwhile, these computing resources can be …
Consortium blockchain-based computation offloading using mobile edge platoon cloud in internet of vehicles
The rapid advancement of intelligent vehicles is deemed crucial to the emergence of diverse
compute-intensive applications of assisted driving, which consist of automatic driving, speed …
compute-intensive applications of assisted driving, which consist of automatic driving, speed …
V2V task offloading algorithm with LSTM-based spatiotemporal trajectory prediction model in SVCNs
H Guo, L Rui, Z Gao - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
In this paper, in order to fully investigate the great potential of increasingly powerful vehicles
and their predictable mobility in improving dynamic network performance, we develop a V2V …
and their predictable mobility in improving dynamic network performance, we develop a V2V …
Fast adaptive task offloading and resource allocation via multiagent reinforcement learning in heterogeneous vehicular fog computing
Z Gao, L Yang, Y Dai - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
In vehicular fog computing, task offloading enables mobile vehicles (MVs) to offer ultralow
latency services for computation-intensive tasks. Nevertheless, the edge server (ES) may …
latency services for computation-intensive tasks. Nevertheless, the edge server (ES) may …
A comprehensive survey of spectrum sharing schemes from a standardization and implementation perspective
As the services and requirements of next-generation wireless networks become increasingly
diversified, it is estimated that the current frequency bands of mobile network operators …
diversified, it is estimated that the current frequency bands of mobile network operators …
A survey on intelligent computation offloading and pricing strategy in UAV-Enabled MEC network: Challenges and research directions
AA Baktayan, IA Al-Baltah - arXiv preprint arXiv:2208.10072, 2022 - arxiv.org
The Mobile Network Operator (MNO) must select how to delegate Mobile Device (MD)
queries to its Mobile Edge Computing (MEC) server in order to maximize the overall benefit …
queries to its Mobile Edge Computing (MEC) server in order to maximize the overall benefit …
Sac-based computation offloading and resource allocation in vehicular edge computing
The Vehicular Edge Computing (VEC) provides powerful computing resources for intelligent
terminals. However, the diversity of computing resources at edge nodes (ie, edge servers …
terminals. However, the diversity of computing resources at edge nodes (ie, edge servers …