Survey on digital twin edge networks (DITEN) toward 6G

F Tang, X Chen, TK Rodrigues… - IEEE Open Journal of …, 2022 - ieeexplore.ieee.org
The next generation (6G) wireless systems aim to cater to the Internet of Everything (IoE)
and revolutionize customer services and applications to a fully intelligent and autonomous …

Edge intelligence for energy-efficient computation offloading and resource allocation in 5G beyond

Y Dai, K Zhang, S Maharjan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
5G beyond is an end-edge-cloud orchestrated network that can exploit heterogeneous
capabilities of the end devices, edge servers, and the cloud and thus has the potential to …

Integration of blockchain and edge computing in internet of things: A survey

H Xue, D Chen, N Zhang, HN Dai, K Yu - Future Generation Computer …, 2023 - Elsevier
As an important technology to ensure data security, consistency, traceability, etc., blockchain
has been increasingly used in Internet of Things (IoT) applications. The integration of …

[HTML][HTML] Machine learning in beyond 5G/6G networks—State-of-the-art and future trends

VP Rekkas, S Sotiroudis, P Sarigiannidis, S Wan… - Electronics, 2021 - mdpi.com
Artificial Intelligence (AI) and especially Machine Learning (ML) can play a very important
role in realizing and optimizing 6G network applications. In this paper, we present a brief …

A survey of collaborative machine learning using 5G vehicular communications

SV Balkus, H Wang, BD Cornet… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
By enabling autonomous vehicles (AVs) to share data while driving, 5G vehicular
communications allow AVs to collaborate on solving common autonomous driving tasks …

Reinforcement learning-based physical cross-layer security and privacy in 6G

X Lu, L Xiao, P Li, X Ji, C Xu, S Yu… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Sixth-generation (6G) cellular systems will have an inherent vulnerability to physical (PHY)-
layer attacks and privacy leakage, due to the large-scale heterogeneous networks with …

A survey of blockchain and artificial intelligence for 6G wireless communications

Y Zuo, J Guo, N Gao, Y Zhu, S Jin… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The research on the sixth-generation (6G) wireless communications for the development of
future mobile communication networks has been officially launched around the world. 6G …

Distributed deep multi-agent reinforcement learning for cooperative edge caching in internet-of-vehicles

H Zhou, K Jiang, S He, G Min… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Edge caching is a promising approach to reduce duplicate content transmission in Internet-
of-Vehicles (IoVs). Several Reinforcement Learning (RL) based edge caching methods have …

Digital twin empowered content caching in social-aware vehicular edge networks

K Zhang, J Cao, S Maharjan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The rapid proliferation of smart vehicles along with the advent of powerful applications bring
stringent requirements on massive content delivery. Although vehicular edge caching can …

Digital twin-driven vehicular task offloading and irs configuration in the internet of vehicles

X Yuan, J Chen, N Zhang, J Ni, FR Yu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Digital mymargin Twin (DT) and Intelligent Reflective Surface (IRS), the most two promising
technologies of 6G make the Internet of Vehicles (IoV) more adaptive. However, future …