Autonomous Vehicles in 5G and beyond: A Survey
Fifth Generation (5G) mobile technology is the latest generation of mobile networks that is
being deployed to facilitate emerging applications and services. 5G offers enhanced mobile …
being deployed to facilitate emerging applications and services. 5G offers enhanced mobile …
On 5G-V2X use cases and enabling technologies: A comprehensive survey
5G technologies promise faster connections, lower latency, higher reliability, more capacity
and wider coverage. We are looking to rely on these technologies to achieve Vehicle-to …
and wider coverage. We are looking to rely on these technologies to achieve Vehicle-to …
From smart parking towards autonomous valet parking: A survey, challenges and future Works
Recently, we see an increasing number of vehicles coming into our lives, which makes
finding car parks a difficult task. To overcome this challenge, efficient and advanced parking …
finding car parks a difficult task. To overcome this challenge, efficient and advanced parking …
Network slicing with MEC and deep reinforcement learning for the Internet of Vehicles
Z Mlika, S Cherkaoui - IEEE Network, 2021 - ieeexplore.ieee.org
The interconnection of vehicles in the future fifth generation (5G) wireless ecosystem forms
the so-called Internet of Vehicles (IoV). IoV offers new kinds of applications requiring delay …
the so-called Internet of Vehicles (IoV). IoV offers new kinds of applications requiring delay …
Vetaverse: A survey on the intersection of Metaverse, vehicles, and transportation systems
Since 2021, the term" Metaverse" has been the most popular one, garnering a lot of interest.
Because of its contained environment and built-in computing and networking capabilities, a …
Because of its contained environment and built-in computing and networking capabilities, a …
A deep reinforcement learning approach for service migration in mec-enabled vehicular networks
A Abouaomar, Z Mlika, A Filali… - 2021 IEEE 46th …, 2021 - ieeexplore.ieee.org
Multi-access edge computing (MEC) is a key enabler to reduce the latency of vehicular
network. Due to the vehicles mobility, their requested services (eg, infotainment services) …
network. Due to the vehicles mobility, their requested services (eg, infotainment services) …
智能网联车路云协同系统架构与关键技术研究综述
丁飞， 张楠， 李升波， 边有钢， 童恩， 李克强 - 自动化学报, 2022 - aas.net.cn
随着汽车产业电动化, 智能化, 网联化, 共享化的发展驱动, 全球主要强国均将智能网联汽车列为
国家战略发展方向. 蜂窝车联网, 边缘计算网络和高精度定位系统的技术发展, 为车车, 车路 …
国家战略发展方向. 蜂窝车联网, 边缘计算网络和高精度定位系统的技术发展, 为车车, 车路 …
Role of machine learning in resource allocation strategy over vehicular networks: a survey
I Nurcahyani, JW Lee - Sensors, 2021 - mdpi.com
The increasing demand for smart vehicles with many sensing capabilities will escalate data
traffic in vehicular networks. Meanwhile, available network resources are limited. The …
traffic in vehicular networks. Meanwhile, available network resources are limited. The …
Network slicing based learning techniques for iov in 5g and beyond networks
The effects of transport development on people's lives are diverse, ranging from economy to
tourism, health care, etc. Great progress has been made in this area, which has led to the …
tourism, health care, etc. Great progress has been made in this area, which has led to the …
Enhancing the fuel-economy of V2I-assisted autonomous driving: A reinforcement learning approach
A novel framework is proposed for enhancing the driving safety and fuel economy of
autonomous vehicles (AVs) with the aid of vehicle-to-infrastructure (V2I) communication …
autonomous vehicles (AVs) with the aid of vehicle-to-infrastructure (V2I) communication …