Artificial intelligence applications and self-learning 6G networks for smart cities digital ecosystems: Taxonomy, challenges, and future directions

L Ismail, R Buyya - Sensors, 2022 - mdpi.com
The recent upsurge of smart cities' applications and their building blocks in terms of the
Internet of Things (IoT), Artificial Intelligence (AI), federated and distributed learning, big data …

AI-Enhanced Cloud-Edge-Terminal Collaborative Network: Survey, Applications, and Future Directions

H Gu, L Zhao, Z Han, G Zheng… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The cloud-edge-terminal collaborative network (CETCN) is considered as a novel paradigm
for emerging applications owing to its huge potential in providing low-latency and ultra …

Machine learning for service migration: a survey

N Toumi, M Bagaa, A Ksentini - IEEE Communications Surveys …, 2023 - ieeexplore.ieee.org
Future communication networks are envisioned to satisfy increasingly granular and dynamic
requirements to accommodate the application and user demands. Indeed, novel immersive …

Dynamic allocation of computing and communication resources in multi-access edge computing for mobile users

J Plachy, Z Becvar, EC Strinati… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The Multi-Access Edge Computing (MEC) constitutes computing over virtualized resources
distributed at the edge of mobile network. For mobile users, an optimal allocation of …

Predictive UAV base station deployment and service offloading with distributed edge learning

Z Zhao, L Pacheco, H Santos, M Liu… - … on Network and …, 2021 - ieeexplore.ieee.org
In modern networks, edge computing will be responsible for processing and learning from
the critical network-and user-generated data, such as wireless link usage, mobility …

Mathematical modeling and simulation of table tennis trajectory based on digital video image processing

C He, X Zhang, Y Gui, Y Liu… - Advances in Mathematical …, 2021 - Wiley Online Library
Digital sports training based on digital video image processing promises to reduce the
reliance on the experience of coaches in the table tennis training process and to achieve a …

ECHO: Enhanced conditional handover boosted by trajectory prediction

A Prado, H Vijayaraghavan… - 2021 IEEE Global …, 2021 - ieeexplore.ieee.org
Conditional handover (CHO) has been introduced in 5G to improve mobility robustness,
namely, to reduce the number of handover failures by preparing target Base Stations (BSs) …

[HTML][HTML] The Role of 6G Technologies in Advancing Smart City Applications: Opportunities and Challenges

S Sharma, R Popli, S Singh, G Chhabra, GS Saini… - Sustainability, 2024 - mdpi.com
The deployment of fifth-generation (5G) wireless networks has already laid the ground-work
for futuristic smart cities but along with this, it has also triggered the rapid growth of a wide …

Proactive migration for dynamic computation load in edge computing

AM Zaki, S Sorour - ICC 2022-IEEE International Conference …, 2022 - ieeexplore.ieee.org
The advent of the Internet-of-Things (IoT), which streams a wide range of computation-
intensive applications with strict Quality of Service (QoS) requirements, has caused a …

Intelligent terrestrial and non-terrestrial vehicular networks with green ai and red ai perspectives

H Kim, J Ben-Othman, L Mokdad - Sensors, 2023 - mdpi.com
In this paper, we aim to envision 6G convergent terrestrial and non-terrestrial infrastructure
of virtual emotion and epidemic prevention with two differential perspectives: Green AI and …