6G wireless communications networks: A comprehensive survey

M Alsabah, MA Naser, BM Mahmmod… - Ieee …, 2021 - ieeexplore.ieee.org
The commercial fifth-generation (5G) wireless communications networks have already been
deployed with the aim of providing high data rates. However, the rapid growth in the number …

[HTML][HTML] Towards 6G wireless communication networks: Vision, enabling technologies, and new paradigm shifts

X You, CX Wang, J Huang, X Gao, Z Zhang… - Science China …, 2021 - Springer
The fifth generation (5G) wireless communication networks are being deployed worldwide
from 2020 and more capabilities are in the process of being standardized, such as mass …

[PDF][PDF] 6G 移动通信网络: 愿景, 挑战与关键技术

赵亚军, 郁光辉, 徐汉青 - 中国科学: 信息科学, 2019 - scis.scichina.com
摘要随着5G 网络开启规模商业部署, 越来越多的研究机构及相关人员开始对下一代移动通信
系统进行研究. 本文将探讨10 年后(2030 年∼) 的6G 概念. 本文首先用4 个关键词概括未来6G …

Wireless networks design in the era of deep learning: Model-based, AI-based, or both?

A Zappone, M Di Renzo… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper deals with the use of emerging deep learning techniques in future wireless
communication networks. It will be shown that the data-driven approaches should not …

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 …

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 …

A survey of machine learning techniques applied to self-organizing cellular networks

PV Klaine, MA Imran, O Onireti… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
In this paper, a survey of the literature of the past 15 years involving machine learning (ML)
algorithms applied to self-organizing cellular networks is performed. In order for future …

Learning rate optimization for federated learning exploiting over-the-air computation

C Xu, S Liu, Z Yang, Y Huang… - IEEE Journal on Selected …, 2021 - ieeexplore.ieee.org
Federated learning (FL) as a promising edge-learning framework can effectively address the
latency and privacy issues by featuring distributed learning at the devices and model …

Artificial intelligence enabled wireless networking for 5G and beyond: Recent advances and future challenges

CX Wang, M Di Renzo, S Stanczak… - IEEE Wireless …, 2020 - ieeexplore.ieee.org
5G wireless communication networks are currently being deployed, and B5G networks are
expected to be developed over the next decade. AI technologies and, in particular, ML have …

Spatiotemporal modeling and prediction in cellular networks: A big data enabled deep learning approach

J Wang, J Tang, Z Xu, Y Wang, G Xue… - … -IEEE conference on …, 2017 - ieeexplore.ieee.org
In this paper, we propose to leverage the emerging deep learning techniques for
spatiotemporal modeling and prediction in cellular networks, based on big system data …