Machine learning for large-scale optimization in 6g wireless networks

Y Shi, L Lian, Y Shi, Z Wang, Y Zhou… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The sixth generation (6G) wireless systems are envisioned to enable the paradigm shift from
“connected things” to “connected intelligence”, featured by ultra high density, large-scale …

[HTML][HTML] A comprehensive survey on reinforcement-learning-based computation offloading techniques in edge computing systems

D Hortelano, I de Miguel, RJD Barroso… - Journal of Network and …, 2023 - Elsevier
In recent years, the number of embedded computing devices connected to the Internet has
exponentially increased. At the same time, new applications are becoming more complex …

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 …

[HTML][HTML] Internet of Vehicles and real-time optimization algorithms: Concepts for vehicle networking in smart cities

F Adelantado, M Ammouriova, E Herrera, AA Juan… - vehicles, 2022 - mdpi.com
Achieving sustainable freight transport and citizens' mobility operations in modern cities are
becoming critical issues for many governments. By analyzing big data streams generated …

Joint Optimization of Multiuser Computation Offloading and Wireless-Caching Resource Allocation With Linearly Related Requests in Vehicular Edge Computing …

L Liu, Z Chen - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Recently, vehicular edge computing (VEC) has become one of the hottest research fields in
Internet of Vehicles (IoV). It provides certain computing, storage, and caching resources at …

AI 算法在车联网通信与计算中的应用综述

康宇, 刘雅琼, 赵彤雨, 寿国础 - 电信科学, 2023 - infocomm-journal.com
在5G 时代, 车联网的通信和计算发展受到信息量急速增加的限制. 将AI 算法应用在车联网,
可以实现车联网通信和计算方面的新突破. 调研了AI 算法在通信安全, 通信资源分配 …

An offloading algorithm based on deep reinforcement learning for UAV-Aided vehicular edge computing networks

S Yuan, H Zhao, L Geng - 2022 IEEE 9th International …, 2022 - ieeexplore.ieee.org
In recent years, the number of vehicles connected to the Internet has increased explosively,
and those vehicles have produced a large number of computing-intensive and delay …

Multi-User Computation Offloading and Resource Allocation Algorithm in a Vehicular Edge Network

X Liu, J Zheng, M Zhang, Y Li, R Wang, Y He - Sensors, 2024 - mdpi.com
In Vehicular Edge Computing Network (VECN) scenarios, the mobility of vehicles causes the
uncertainty of channel state information, which makes it difficult to guarantee the Quality of …

A distributed vehicle-assisted computation offloading scheme based on drl in vehicular networks

J Wang, H Zhao, H Liu, L Geng… - 2022 22nd IEEE …, 2022 - ieeexplore.ieee.org
With the development of 5G and the Internet, the explosion of new mobile applications has
led to an increasing number of computation-intensive and latency-sensitive tasks, which …

Joint task scheduling and load balancing in computing power network-enabled edge computing systems

R Xie, H Zhu, Q Tang, Q Chen, S Qiao… - 2022 IEEE 8th …, 2022 - ieeexplore.ieee.org
Edge computing is a promising computing paradigm to enable next-generation delay-
sensitive services which are not conceivable in traditional cloud-based architectures. Due to …