Reinforcement learning methods for computation offloading: a systematic review

Z Zabihi, AM Eftekhari Moghadam… - ACM Computing …, 2023 - dl.acm.org
Today, cloud computation offloading may not be an appropriate solution for delay-sensitive
applications due to the long distance between end-devices and remote datacenters. In …

[HTML][HTML] A survey on vehicular task offloading: Classification, issues, and challenges

M Ahmed, S Raza, MA Mirza, A Aziz, MA Khan… - Journal of King Saud …, 2022 - Elsevier
Emerging vehicular applications with strict latency and reliability requirements pose high
computing requirements, and current vehicles' computational resources are not adequate to …

RL/DRL meets vehicular task offloading using edge and vehicular cloudlet: A survey

J Liu, M Ahmed, MA Mirza, WU Khan… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
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 …

Joint task offloading and resource allocation for vehicular edge computing based on V2I and V2V modes

W Fan, Y Su, J Liu, S Li, W Huang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In an internet of vehicle (IoV) scenario, vehicular edge computing (VEC) exploits the
computing capabilities of the vehicles and roadside unit (RSU) to enhance the task …

Joint task offloading and resource allocation for multi-access edge computing assisted by parked and moving vehicles

W Fan, J Liu, M Hua, F Wu, Y Liu - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …

[HTML][HTML] Machine learning in vehicular networking: An overview

K Tan, D Bremner, J Le Kernec, L Zhang… - Digital Communications …, 2022 - Elsevier
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 …

Consortium blockchain-based computation offloading using mobile edge platoon cloud in internet of vehicles

T Xiao, C Chen, Q Pei, HH Song - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …

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 …

Spectrum sharing schemes from 4G to 5G and beyond: Protocol flow, regulation, ecosystem, economic

M Parvini, AH Zarif, A Nouruzi, N Mokari… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
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 …

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 …