Vehicular edge computing: Architecture, resource management, security, and challenges

R Meneguette, R De Grande, J Ueyama… - ACM Computing …, 2021 - dl.acm.org
Vehicular Edge Computing (VEC), based on the Edge Computing motivation and
fundamentals, is a promising technology supporting Intelligent Transport Systems services …

[HTML][HTML] Deep reinforcement learning for resource management on network slicing: A survey

JA Hurtado Sánchez, K Casilimas… - Sensors, 2022 - mdpi.com
Network Slicing and Deep Reinforcement Learning (DRL) are vital enablers for achieving
5G and 6G networks. A 5G/6G network can comprise various network slices from unique or …

Multi-agent reinforcement learning based resource management in MEC-and UAV-assisted vehicular networks

H Peng, X Shen - IEEE Journal on Selected Areas in …, 2020 - ieeexplore.ieee.org
In this paper, we investigate multi-dimensional resource management for unmanned aerial
vehicles (UAVs) assisted vehicular networks. To efficiently provide on-demand resource …

AI-assisted network-slicing based next-generation wireless networks

X Shen, J Gao, W Wu, K Lyu, M Li… - IEEE Open Journal …, 2020 - ieeexplore.ieee.org
The integration of communications with different scales, diverse radio access technologies,
and various network resources renders next-generation wireless networks (NGWNs) highly …

SDN/NFV-empowered future IoV with enhanced communication, computing, and caching

W Zhuang, Q Ye, F Lyu, N Cheng… - Proceedings of the …, 2019 - ieeexplore.ieee.org
Internet-of-Vehicles (IoV) connects vehicles, sensors, pedestrians, mobile devices, and the
Internet with advanced communication and networking technologies, which can enhance …

[HTML][HTML] Survey on intelligence edge computing in 6G: Characteristics, challenges, potential use cases, and market drivers

A Al-Ansi, AM Al-Ansi, A Muthanna, IA Elgendy… - Future Internet, 2021 - mdpi.com
Intelligence Edge Computing (IEC) is the key enabler of emerging 5G technologies networks
and beyond. IEC is considered to be a promising backbone of future services and wireless …

Collaborative learning of communication routes in edge-enabled multi-access vehicular environment

C Wu, Z Liu, F Liu, T Yoshinaga, Y Ji… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Some Internet-of-Things (IoT) applications have a strict requirement on the end-to-end delay
where edge computing can be used to provide a short delay for end-users by conducing …

Deep reinforcement learning based resource management for multi-access edge computing in vehicular networks

H Peng, X Shen - IEEE Transactions on Network Science and …, 2020 - ieeexplore.ieee.org
In this paper, we study joint allocation of the spectrum, computing, and storing resources in a
multi-access edge computing (MEC)-based vehicular network. To support different vehicular …

[HTML][HTML] 6G service-oriented space-air-ground integrated network: A survey

N Cheng, HE Jingchao, YIN Zhisheng… - Chinese Journal of …, 2022 - Elsevier
As an indispensable component of the emerging 6G networks, Space-Air-Ground Integrated
Networks (SAGINs) are envisioned to provide ubiquitous network connectivity and services …

Service-oriented energy-latency tradeoff for IoT task partial offloading in MEC-enhanced multi-RAT networks

M Qin, N Cheng, Z Jing, T Yang, W Xu… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
The development of the 5G network is envisioned to offer various types of services like
virtual reality/augmented reality and autonomous vehicles applications with low-latency …