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 …
Deep Reinforcement Learning-Based Task Offloading for Vehicular Edge Computing With Flexible RSU-RSU Cooperation
W Fan, Y Zhang, G Zhou, Y Liu - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Vehicle edge computing (VEC) acts as an enhancement to provide low latency and low
energy consumption for internet of vehicles (IoV) applications. Mobility of vehicles and load …
energy consumption for internet of vehicles (IoV) applications. Mobility of vehicles and load …
Asynchronous deep reinforcement learning for collaborative task computing and on-demand resource allocation in vehicular edge computing
Vehicular Edge Computing (VEC) is enjoying a surge in research interest due to the
remarkable potential to reduce response delay and alleviate bandwidth pressure. Facing the …
remarkable potential to reduce response delay and alleviate bandwidth pressure. Facing the …
Deep-reinforcement-learning-based offloading scheduling for vehicular edge computing
Vehicular edge computing (VEC) is a new computing paradigm that has great potential to
enhance the capability of vehicle terminals (VTs) to support resource-hungry in-vehicle …
enhance the capability of vehicle terminals (VTs) to support resource-hungry in-vehicle …
Revenue and energy efficiency-driven delay-constrained computing task offloading and resource allocation in a vehicular edge computing network: A deep …
X Huang, L He, X Chen, L Wang… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
For in-vehicle application, task type and vehicle state information, ie, vehicle speed, bear a
significant impact on the task delay requirement. However, the joint impact of task type and …
significant impact on the task delay requirement. However, the joint impact of task type and …
Latency-energy tradeoff in connected autonomous vehicles: A deep reinforcement learning scheme
Vehicle Edge Computing (VEC)-assisted computational offloading brings cloud computing
closer to user equipment (UEs) at the edge of the access network by delivering various …
closer to user equipment (UEs) at the edge of the access network by delivering various …
[HTML][HTML] Research on task offloading optimization strategies for vehicular networks based on game theory and deep reinforcement learning
L Wang, W Zhou, H Xu, L Li, L Cai, X Zhou - Frontiers in Physics, 2023 - frontiersin.org
With the continuous development of the 6G mobile network, computing-intensive and delay-
sensitive onboard applications generate task data traffic more frequently. Particularly, when …
sensitive onboard applications generate task data traffic more frequently. Particularly, when …
Resource allocation in MEC-enabled vehicular networks: A deep reinforcement learning approach
Mobile edge computing (MEC) is a promising technique to liberate mobile vehicles from
increasingly intensive computation workloads and improve the quality of computation …
increasingly intensive computation workloads and improve the quality of computation …
EPtask: Deep reinforcement learning based energy-efficient and priority-aware task scheduling for dynamic vehicular edge computing
The increasing complexity of vehicles has led to a growing demand for in-vehicle services
that rely on multiple sensors. In the Vehicular Edge Computing (VEC) paradigm, energy …
that rely on multiple sensors. In the Vehicular Edge Computing (VEC) paradigm, energy …
Vehicle speed aware computing task offloading and resource allocation based on multi-agent reinforcement learning in a vehicular edge computing network
X Huang, L He, W Zhang - 2020 IEEE International Conference …, 2020 - ieeexplore.ieee.org
For in-vehicle application, the vehicles with different speeds have different delay
requirements. However, vehicle speeds have not been extensively explored, which may …
requirements. However, vehicle speeds have not been extensively explored, which may …
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