Energy-efficient cooperative communication and computation for wireless powered mobile-edge computing

S Mao, J Wu, L Liu, D Lan… - IEEE Systems Journal, 2020 - ieeexplore.ieee.org
In this article, we present a wireless powered mobile-edge computing system consisting of a
hybrid access point and multiple cooperative fogs, where the users in each cooperative fog …

Joint deployment and trajectory optimization in UAV-assisted vehicular edge computing networks

Z Wu, Z Yang, C Yang, J Lin, Y Liu… - … of Communications and …, 2021 - ieeexplore.ieee.org
As the general mobile edge computing (MEC) scheme cannot adequately handle the
emergency communication requirements in vehicular networks, unmanned aerial vehicle …

V2V data offloading for cellular network based on the software defined network (SDN) inside mobile edge computing (MEC) architecture

CM Huang, MS Chiang, DT Dao, WL Su, S Xu… - IEEE …, 2018 - ieeexplore.ieee.org
Data offloading plays an important role for the mobile data explosion problem that occurs in
cellular networks. This paper proposed an idea and control scheme for offloading vehicular …

Minimizing the delay and cost of computation offloading for vehicular edge computing

Q Luo, C Li, TH Luan, W Shi - IEEE Transactions on Services …, 2021 - ieeexplore.ieee.org
The development of autonomous driving poses significant demands on computing resource,
which is challenging to resource-constrained vehicles. To alleviate the issue, Vehicular …

Latency minimization of reverse offloading in vehicular edge computing

W Feng, N Zhang, S Li, S Lin, R Ning… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Cooperative Vehicle-Infrastructure System (CVIS) can provide innovative services for traffic
management and enable trips to be safer, more coordinated, and smarter. In the CVIS, the …

A comprehensive survey of v2x cybersecurity mechanisms and future research paths

R Sedar, C Kalalas, F Vázquez-Gallego… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Recent advancements in vehicle-to-everything (V2X) communication have notably improved
existing transport systems by enabling increased connectivity and driving autonomy levels …

Intelligent reflecting surface in 6G vehicular communications: A survey

Y Zhu, B Mao, N Kato - IEEE Open Journal of Vehicular …, 2022 - ieeexplore.ieee.org
The applications of Intelligent Transportation System (ITS) and autonomous driving in the 6G
era heavily rely on the massive information exchange of ultra-wide bandwidth, high …

A dynamic task scheduling strategy for multi-access edge computing in IRS-aided vehicular networks

Y Zhu, B Mao, N Kato - IEEE Transactions on Emerging Topics …, 2022 - ieeexplore.ieee.org
Multi-access Edge Computing (MEC) has played an important role in realizing intelligent
beyond 5G (B5G) vehicular networks. The computation tasks of intelligent applications can …

Self-learning based computation offloading for internet of vehicles: Model and algorithm

Q Luo, C Li, TH Luan, W Shi… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the fast development of Internet of Vehicles (IoV), various types of computation-
intensive vehicular applications pose significant challenges to resource-constrained …

BDFL: A byzantine-fault-tolerance decentralized federated learning method for autonomous vehicle

JH Chen, MR Chen, GQ Zeng… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Autonomous Vehicles (s) take advantage of Machine Learning (ML) for yielding improved
experiences of self-driving. However, large-scale collection of s' data for training will …