Cooperative computational offloading in mobile edge computing for vehicles: A model-based dnn approach
Many advancements are being made in vehicular networks, such as self-driving, dynamic
route scheduling, real-time traffic condition monitoring, and on-board infotainment services …
route scheduling, real-time traffic condition monitoring, and on-board infotainment services …
A reinforcement learning based task offloading scheme for vehicular edge computing network
Recently, the trends of automation and intelligence in vehicular networks have led to the
emergence of intelligent connected vehicles (ICVs), and various intelligent applications like …
emergence of intelligent connected vehicles (ICVs), and various intelligent applications like …
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 …
Task offloading in vehicular edge computing networks: A load-balancing solution
Recently, the rapid advance of vehicular networks has led to the emergence of diverse delay-
sensitive vehicular applications such as automatic driving, auto navigation. Note that …
sensitive vehicular applications such as automatic driving, auto navigation. Note that …
DNN Partition and Offloading Strategy with Improved Particle Swarm Genetic Algorithm in VEC
C Li, L Chai, K Jiang, Y Zhang, J Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is a novel computing paradigm, which is designed to
satisfy the growing computation and communication needs of vehicle systems. With the …
satisfy the growing computation and communication needs of vehicle systems. With the …
Mcvco: Multi-mec cooperative vehicular computation offloading
J Liu, K Xue, Q Miao, S Li, X Cui… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Mobile edge computing (MEC) has been envisioned as a promising paradigm that provides
processing resources for vehicular computation-intensive tasks to accommodate the strict …
processing resources for vehicular computation-intensive tasks to accommodate the strict …
Collaborative computing in vehicular networks: A deep reinforcement learning approach
Mobile edge computing (MEC) has been recognized as a promising technology to support
various emerging services in vehicular networks. With MEC, vehicle users can offload their …
various emerging services in vehicular networks. With MEC, vehicle users can offload their …
Deep reinforcement learning for collaborative edge computing in vehicular networks
Mobile edge computing (MEC) is a promising technology to support mission-critical
vehicular applications, such as intelligent path planning and safety applications. In this …
vehicular applications, such as intelligent path planning and safety applications. In this …
Reinforcement learning based tasks offloading in vehicular edge computing networks
S Cao, D Liu, C Dai, C Wang, Y Yang, W Zhang… - Computer Networks, 2023 - Elsevier
With the rapid development of autonomous and intelligent techniques, vehicles are currently
equipped with computation and communication modules for satisfying clients' on-vehicle …
equipped with computation and communication modules for satisfying clients' on-vehicle …
Mobility-aware multi-hop task offloading for autonomous driving in vehicular edge computing and networks
Vehicular Edge Computing (VEC) has gained increasing interest due to its potential to
provide low latency and reduce the load in backhaul networks. In order to meet drastically …
provide low latency and reduce the load in backhaul networks. In order to meet drastically …