Towards 6G wireless communication networks: Vision, enabling technologies, and new paradigm shifts
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 …
from 2020 and more capabilities are in the process of being standardized, such as mass …
Towards the deployment of machine learning solutions in network traffic classification: A systematic survey
F Pacheco, E Exposito, M Gineste… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
Traffic analysis is a compound of strategies intended to find relationships, patterns,
anomalies, and misconfigurations, among others things, in Internet traffic. In particular, traffic …
anomalies, and misconfigurations, among others things, in Internet traffic. In particular, traffic …
The role of millimeter-wave technologies in 5G/6G wireless communications
Ever since the deployment of the first-generation of mobile telecommunications, wireless
communication technology has evolved at a dramatically fast pace over the past four …
communication technology has evolved at a dramatically fast pace over the past four …
Machine learning meets computation and communication control in evolving edge and cloud: Challenges and future perspective
Mobile Edge Computing (MEC) is considered an essential future service for the
implementation of 5G networks and the Internet of Things, as it is the best method of …
implementation of 5G networks and the Internet of Things, as it is the best method of …
Machine learning for wireless communication channel modeling: An overview
SM Aldossari, KC Chen - Wireless Personal Communications, 2019 - Springer
Channel modeling is fundamental to design wireless communication systems. A common
practice is to conduct tremendous amount of channel measurement data and then to derive …
practice is to conduct tremendous amount of channel measurement data and then to derive …
Federated learning-empowered mobile network management for 5G and beyond networks: From access to core
The fifth generation (5G) and beyond wireless networks are envisioned to provide an
integrated communication and computing platform that will enable multipurpose and …
integrated communication and computing platform that will enable multipurpose and …
A survey of online data-driven proactive 5G network optimisation using machine learning
In the fifth-generation (5G) mobile networks, proactive network optimisation plays an
important role in meeting the exponential traffic growth, more stringent service requirements …
important role in meeting the exponential traffic growth, more stringent service requirements …
Towards cooperative data rate prediction for future mobile and vehicular 6G networks
B Sliwa, R Falkenberg… - 2020 2nd 6G Wireless …, 2020 - ieeexplore.ieee.org
Machine learning-based data rate prediction is one of the key drivers for anticipatory mobile
networking with applications such as dynamic Radio Access Technology (RAT) selection …
networking with applications such as dynamic Radio Access Technology (RAT) selection …
Smart zero-touch management of uav-based edge network
C Grasso, R Raftopoulos… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The next generation of wireless communications networks, namely 6G, will be aimed at
realizing a fully connected world, and at providing ubiquitous connectivity to people and …
realizing a fully connected world, and at providing ubiquitous connectivity to people and …
Predicting the path loss of wireless channel models using machine learning techniques in mmwave urban communications
S Aldossari, KC Chen - 2019 22nd International Symposium on …, 2019 - ieeexplore.ieee.org
The classic wireless communication channel modeling is performed using Deterministic and
Stochastic channel methodologies. Machine learning (ML) emerges to revolutionize system …
Stochastic channel methodologies. Machine learning (ML) emerges to revolutionize system …