Evolution of non-terrestrial networks from 5G to 6G: A survey

MM Azari, S Solanki, S Chatzinotas… - … surveys & tutorials, 2022 - ieeexplore.ieee.org
Non-terrestrial networks (NTNs) traditionally have certain limited applications. However, the
recent technological advancements and manufacturing cost reduction opened up myriad …

AI models for green communications towards 6G

B Mao, F Tang, Y Kawamoto… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Green communications have always been a target for the information industry to alleviate
energy overhead and reduce fossil fuel usage. In the current 5G and future 6G eras, there is …

Future intelligent and secure vehicular network toward 6G: Machine-learning approaches

F Tang, Y Kawamoto, N Kato, J Liu - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
As a powerful tool, the vehicular network has been built to connect human communication
and transportation around the world for many years to come. However, with the rapid growth …

In-edge ai: Intelligentizing mobile edge computing, caching and communication by federated learning

X Wang, Y Han, C Wang, Q Zhao, X Chen… - Ieee …, 2019 - ieeexplore.ieee.org
Recently, along with the rapid development of mobile communication technology, edge
computing theory and techniques have been attracting more and more attention from global …

Ten challenges in advancing machine learning technologies toward 6G

N Kato, B Mao, F Tang, Y Kawamoto… - IEEE Wireless …, 2020 - ieeexplore.ieee.org
As the 5G standard is being completed, academia and industry have begun to consider a
more developed cellular communication technique, 6G, which is expected to achieve high …

Deep learning in mobile and wireless networking: A survey

C Zhang, P Patras, H Haddadi - IEEE Communications surveys …, 2019 - ieeexplore.ieee.org
The rapid uptake of mobile devices and the rising popularity of mobile applications and
services pose unprecedented demands on mobile and wireless networking infrastructure …

Comprehensive survey on machine learning in vehicular network: Technology, applications and challenges

F Tang, B Mao, N Kato, G Gui - IEEE Communications Surveys …, 2021 - ieeexplore.ieee.org
Towards future intelligent vehicular network, the machine learning as the promising artificial
intelligence tool is widely researched to intelligentize communication and networking …

Deep learning for super-resolution channel estimation and DOA estimation based massive MIMO system

H Huang, J Yang, H Huang, Y Song… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The recent concept of massive multiple-input multiple-output (MIMO) can significantly
improve the capacity of the communication network, and it has been regarded as a …

A very brief introduction to machine learning with applications to communication systems

O Simeone - IEEE Transactions on Cognitive Communications …, 2018 - ieeexplore.ieee.org
Given the unprecedented availability of data and computing resources, there is widespread
renewed interest in applying data-driven machine learning methods to problems for which …

Application of machine learning in wireless networks: Key techniques and open issues

Y Sun, M Peng, Y Zhou, Y Huang… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
As a key technique for enabling artificial intelligence, machine learning (ML) is capable of
solving complex problems without explicit programming. Motivated by its successful …