Digital twin-assisted space-air-ground integrated networks for vehicular edge computing
In this paper, we present a framework that integrates digital twin (DT) technology into space-
air-ground integrated networks (SAGINs) to enhance vehicular edge computing (VEC). Our …
air-ground integrated networks (SAGINs) to enhance vehicular edge computing (VEC). Our …
Task offloading and resource allocation in vehicular networks: A Lyapunov-based deep reinforcement learning approach
AS Kumar, L Zhao, X Fernando - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) has gained popularity due to its ability to enhance
vehicular networks. VEC servers located at Roadside Units (RSUs) allow low-power …
vehicular networks. VEC servers located at Roadside Units (RSUs) allow low-power …
[PDF][PDF] Decentralized vehicular edge computing framework for energy-efficient task coordination
Vehicular edge computing (VEC) empowers realtime applications in the autonomous
vehicle (AV) domain by positioning edge servers closer to AVs. This proximity reduces …
vehicle (AV) domain by positioning edge servers closer to AVs. This proximity reduces …
Adaptive digital twin and multiagent deep reinforcement learning for vehicular edge computing and networks
Technological advancements of urban informatics and vehicular intelligence have enabled
connected smart vehicles as pervasive edge computing platforms for a plethora of powerful …
connected smart vehicles as pervasive edge computing platforms for a plethora of powerful …
Asynchronous federated deep reinforcement learning-based URLLC-aware computation offloading in space-assisted vehicular networks
Space-assisted vehicular networks (SAVN) provide seamless coverage and on-demand
data processing services for user vehicles (UVs). However, ultra-reliable and low-latency …
data processing services for user vehicles (UVs). However, ultra-reliable and low-latency …
Two-Stage Offloading for an Enhancing Distributed Vehicular Edge Computing and Networks: Model and Algorithm
Vehicular Edge Computing and Networks (VECoNs) have gained popularity for its
enhanced Internet of Vehicles (IoV) capabilities. To satisfy the needs of delay-sensitive and …
enhanced Internet of Vehicles (IoV) capabilities. To satisfy the needs of delay-sensitive and …
Augmented Intelligence of Things for Priority-Aware Task Offloading in Vehicular Edge Computing
Vehicular edge computing (VEC) systems face challenges in providing real-time intelligent
transportation services due to limited computing resources at VEC servers, which lead to …
transportation services due to limited computing resources at VEC servers, which lead to …
Learning-based load-aware heterogeneous vehicular edge computing
Vehicular edge computing is an emerging enabler to support vehicular-based computation-
intensive tasks. By reason of the time-varying vehicular wireless environments and the …
intensive tasks. By reason of the time-varying vehicular wireless environments and the …
HAP-assisted RSMA-enabled vehicular edge computing: A DRL-based optimization framework
In recent years, the demand for vehicular edge computing (VEC) has grown rapidly due to
the increasing need for low-latency and high-throughput applications such as autonomous …
the increasing need for low-latency and high-throughput applications such as autonomous …
Federated deep reinforcement learning based task offloading with power control in vehicular edge computing
S Moon, Y Lim - Sensors, 2022 - mdpi.com
Vehicular edge computing (VEC) is a promising technology for supporting computation-
intensive vehicular applications with low latency at the network edges. Vehicles offload their …
intensive vehicular applications with low latency at the network edges. Vehicles offload their …