Decentralized power allocation for MIMO-NOMA vehicular edge computing based on deep reinforcement learning

H Zhu, Q Wu, XJ Wu, Q Fan, P Fan… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is envisioned as a promising approach to process the
explosive computation tasks of vehicular user (VU). In the VEC system, each VU allocates …

A power allocation scheme for MIMO-NOMA and D2D vehicular edge computing based on decentralized DRL

D Long, Q Wu, Q Fan, P Fan, Z Li, J Fan - Sensors, 2023 - mdpi.com
In vehicular edge computing (VEC), some tasks can be processed either locally or on the
mobile edge computing (MEC) server at a base station (BS) or a nearby vehicle. In fact …

EPtask: Deep reinforcement learning based energy-efficient and priority-aware task scheduling for dynamic vehicular edge computing

P Li, Z Xiao, X Wang, K Huang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …

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 …

Joint task offloading and resource optimization in noma-based vehicular edge computing: A game-theoretic drl approach

X Xu, K Liu, P Dai, F Jin, H Ren, C Zhan… - Journal of Systems …, 2023 - Elsevier
Vehicular edge computing (VEC) becomes a promising paradigm for the development of
emerging intelligent transportation systems. Nevertheless, the limited resources and …

Deep-reinforcement-learning-based offloading scheduling for vehicular edge computing

W Zhan, C Luo, J Wang, C Wang, G Min… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
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 …

Energy-efficient task offloading for vehicular edge computing: Joint optimization of offloading and bit allocation

Y Jang, J Na, S Jeong, J Kang - 2020 IEEE 91st vehicular …, 2020 - ieeexplore.ieee.org
With the rapid development of vehicular networks, various applications that require high
computation resources have emerged. To efficiently execute these applications, vehicular …

Deep-reinforcement-learning-based distributed computation offloading in vehicular edge computing networks

L Geng, H Zhao, J Wang, A Kaushik… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Vehicular edge computing has emerged as a promising paradigm by offloading computation-
intensive latency-sensitive tasks to mobile-edge computing (MEC) servers. However, it is …

IRS assisted NOMA aided mobile edge computing with queue stability: Heterogeneous multi-agent reinforcement learning

J Yu, Y Li, X Liu, B Sun, Y Wu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
By employing powerful edge servers for data processing, mobile edge computing (MEC) has
been recognized as a promising technology to support emerging computation-intensive …

A deep reinforcement learning-based resource management game in vehicular edge computing

X Zhu, Y Luo, A Liu, NN Xiong… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) is a promising paradigm that leverages the vehicles to
offload computation tasks to the nearby VEC server with the aim of supporting the low …