[图书][B] White Paper on Machine Learning in 6G Wireless Communication Networks: 6G Research Visions, No. 7, 2020

A Samad, W Saad, R Nandana, C Kapseok… - 2020 - diva-portal.org
This white paper discusses various topics, advances, and projections regarding machine
learning (ML) in wireless communications. Sixth generation (6G) wireless communications …

Artificial neural networks-based machine learning for wireless networks: A tutorial

M Chen, U Challita, W Saad, C Yin… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
In order to effectively provide ultra reliable low latency communications and pervasive
connectivity for Internet of Things (IoT) devices, next-generation wireless networks can …

Distributed intelligence at the edge on IoT networks

T Alam, B Rababah, A Ali, S Qamar - Annals of Emerging …, 2020 - aetic.theiaer.org
The Internet of Things (IoT) has revolutionized innovation to collect and store the information
received from physical objects or sensors. The smart devices are linked to a repository that …

Satellite-based computing networks with federated learning

H Chen, M Xiao, Z Pang - IEEE Wireless Communications, 2022 - ieeexplore.ieee.org
Driven by the ever increasing penetration and proliferation of data-driven applications, a
new generation of wireless communication, the sixth generation (6G) mobile system …

Transfer learning for disruptive 5G-enabled industrial internet of things

RWL Coutinho, A Boukerche - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
Internet of things (IoT) and 5G network are fundamental building blocks for industrial IoT
(IIoT). IoT has enabled real-time monitoring and actuation in industrial floors and machinery …

Federated learning over wireless networks: Challenges and solutions

M Beitollahi, N Lu - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Motivated by ever-increasing computational resources at edge devices and increasing
privacy concerns, a new machine learning (ML) framework called federated learning (FL) …

A survey on machine learning in Internet of Things: Algorithms, strategies, and applications

S Messaoud, A Bradai, SHR Bukhari, PTA Quang… - Internet of Things, 2020 - Elsevier
In the IoT and WSN era, large number of connected objects and sensing devices are
dedicated to collect, transfer, and generate a huge amount of data for a wide variety of fields …

Big data analytics, machine learning, and artificial intelligence in next-generation wireless networks

MG Kibria, K Nguyen, GP Villardi, O Zhao… - IEEE …, 2018 - ieeexplore.ieee.org
The next-generation wireless networks are evolving into very complex systems because of
the very diversified service requirements, heterogeneity in applications, devices, and …

Guest editorial introduction to the special section on AI-powered Internet of everything (IoE) services in next-generation wireless networks

B Brik, K Dev, Y Xiao, G Han… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The papers in this special section focus on artificial intelligence (AI)-powered Internet of
Everything services in next generation wireless networks. These networks are undergoing a …

Energy‐aware smart connectivity for IoT networks: enabling smart ports

M Ozturk, M Jaber, MA Imran - Wireless communications and …, 2018 - Wiley Online Library
The Internet of Things (IoT) is spreading much faster than the speed at which the supporting
technology is maturing. Today, there are tens of wireless technologies competing for IoT and …