Intelligent Computation Offloading for Joint Communication and Sensing-Based Vehicular Networks

H Yang, Z Feng, Z Wei, Q Zhang, X Yuan… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
To realize an intelligent cooperative vehicle infrastructure system and high-level
autonomous driving, the introduction of the joint communication and sensing (JCS) …

Intelligent computation offloading for MEC-based cooperative vehicle infrastructure system: A deep reinforcement learning approach

H Yang, Z Wei, Z Feng, X Chen, Y Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In the cooperative vehicle infrastructure system, the road side unit (RSU) equipped with a
mobile edge computing (MEC) server and sensors could provide vehicle infrastructure …

Federated-reinforcement-learning-enabled joint communication, sensing, and computing resources allocation in connected automated vehicles networks

Q Zhang, H Wen, Y Liu, S Chang… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
For future connected automated vehicles (CAVs) networks, the joint optimization of
communication, sensing, and computing resources is crucial to guarantee the performance …

Joint Routing and Scheduling for In-Vehicle Networks: A Deterministic Perspective

W Wang, W Wang, H Yu, B Wu, S Zou… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Deterministic transmission refers to the guaranteed delivery of data to its destination within a
specific time frame along an optimal route, making it an indispensable prerequisite for the …

Intelligent task offloading for heterogeneous V2X communications

K Xiong, S Leng, C Huang, C Yuen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the rapid development of autonomous driving technologies, it becomes difficult to
reconcile the conflict between ever-increasing demands for high process rate in the …

Distributed V2V computation offloading based on dynamic pricing using deep reinforcement learning

J Shi, J Du, J Wang, J Yuan - 2020 IEEE Wireless …, 2020 - ieeexplore.ieee.org
Vehicular computation offloading is a promising paradigm that improves the computing
capability of vehicles to support autonomous driving and various on-board infotainment …

Computation offloading and resource allocation in MEC-enabled integrated aerial-terrestrial vehicular networks: A reinforcement learning approach

N Waqar, SA Hassan, A Mahmood… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
As important services of the future sixth-generation (6G) wireless networks, vehicular
communication and mobile edge computing (MEC) have received considerable interest in …

Reverse offloading for latency minimization in vehicular edge computing

W Feng, S Yang, Y Gao, N Zhang… - ICC 2021-IEEE …, 2021 - ieeexplore.ieee.org
The safety of autonomous driving can be improved with the support of Cooperative Vehicle-
Infrastructure System (CVIS) and Vehicular Edge Computing (VEC), which benefit greatly …

Resource allocation in V2X communications based on multi-agent reinforcement learning with attention mechanism

Y Ding, Y Huang, L Tang, X Qin, Z Jia - Mathematics, 2022 - mdpi.com
In this paper, we study the joint optimization problem of the spectrum and power allocation
for multiple vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) users in cellular …

Federated multi-agent deep reinforcement learning for resource allocation of vehicle-to-vehicle communications

X Li, L Lu, W Ni, A Jamalipour… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Dynamic topology, fast-changing channels and the time sensitivity of safety-related services
present challenges to the status quo of resource allocation for cellular-underlaying vehicle …