Recent Results of Machine Learning InspiredWireless Communications

H Hydher, P Tennakoon, NK Jayakody - 2019 - repo.sltc.ac.lk
t is expected that in the future, main core tech-demonologies will be based on machine
learning (ML) which is subsection of artificial intelligence (AI). So called intelligence will be …

Development of a fully data-driven artificial intelligence and deep learning for URLLC application in 6g wireless systems: a survey

A Salh, L Audah, Q Abdullah, N Abdullah… - AIP Conference …, 2023 - pubs.aip.org
The future of the sixth generation (6G) involves the development of a fully data-driven
method that provides terabit rate per second, and adopts over 1000 connections per person …

Towards artificial intelligence enabled 6G: State of the art, challenges, and opportunities

S Zhang, D Zhu - Computer Networks, 2020 - Elsevier
Abstract 6G is expected to support the unprecedented Internet of everything scenarios with
extremely diverse and challenging requirements. To fulfill such diverse requirements …

Machine learning for networking

S Boumerdassi, R Milocco, L Saidane… - Annals of …, 2022 - Springer
The recent development of big data, which aims to collect and store large amounts of data,
and cloud computing, which allows large amounts of data to be processed quickly and …

AI-assisted PHY technologies for 6G and beyond wireless networks

R Sattiraju, A Weinand, HD Schotten - arXiv preprint arXiv:1908.09523, 2019 - arxiv.org
Machine Learning (ML) and Artificial Intelligence (AI) have become alternative approaches
in wireless networksbeside conventional approaches such as model based …

Physical-Layer Technology Trend and Prospect for AI-based Mobile Communication

K Chang, YJ Ko, IG Kim - Electronics and Telecommunications …, 2020 - koreascience.kr
The 6G mobile communication system will become a backbone infrastructure around 2030
for the future digital world by providing distinctive services such as five-sense holograms …

Guest Editorial: AI‐enabled intelligent network for 5G and beyond.

FH Tseng, CY Chen, R Malekian… - IET …, 2022 - search.ebscohost.com
Artificial intelligence (AI), machine learning (ML) and deep learning (DL) techniques have
made a breakthrough in many different research fields, such as computer vision, natural …

Emerging techniques and applications for 5G networks and beyond

VD Nguyen, TQ Duong, QT Vien - Mobile Networks and Applications, 2020 - Springer
It is predicted that 50 billion devices will be connected to the Internet by 2020, and the
number of mobile-connected devices will exceed 11.5 billion by 2019. These growth …

Deep learning era for future 6G wireless communications—theory, applications, and challenges

SKB Sangeetha, R Dhaya - Artificial intelligent techniques for …, 2022 - Wiley Online Library
Over hundreds of years have passed since wireless communication technology was first
introduced. The developers have made remarkable strides since 1880, including setting up …

[PDF][PDF] Machine Learning in Beyond 5G/6G Networks—State-of-the-Art and Future Trends. Electronics 2021, 10, 2786

VP Rekkas, S Sotiroudis, P Sarigiannidis, S Wan… - 2021 - academia.edu
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 …