Machine learning techniques for 5G and beyond

J Kaur, MA Khan, M Iftikhar, M Imran, QEU Haq - IEEE Access, 2021 - ieeexplore.ieee.org
Wireless communication systems play a very crucial role in modern society for
entertainment, business, commercial, health and safety applications. These systems keep …

FML: Fast machine learning for 5G mmWave vehicular communications

A Asadi, S Müller, GH Sim, A Klein… - IEEE INFOCOM 2018 …, 2018 - ieeexplore.ieee.org
Millimeter-Wave (mmWave) bands have become the de-facto candidate for 5G vehicle-to-
everything (V2X) since future vehicular systems demand Gbps links to acquire the …

Communication-efficient and distributed learning over wireless networks: Principles and applications

J Park, S Samarakoon, A Elgabli, J Kim… - Proceedings of the …, 2021 - ieeexplore.ieee.org
Machine learning (ML) is a promising enabler for the fifth-generation (5G) communication
systems and beyond. By imbuing intelligence into the network edge, edge nodes can …

Lumos5G: Mapping and predicting commercial mmWave 5G throughput

A Narayanan, E Ramadan, R Mehta, X Hu… - Proceedings of the …, 2020 - dl.acm.org
The emerging 5G services offer numerous new opportunities for networked applications. In
this study, we seek to answer two key questions: i) is the throughput of mmWave 5G …

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 …

Machine learning for networking: Workflow, advances and opportunities

M Wang, Y Cui, X Wang, S Xiao, J Jiang - Ieee Network, 2017 - ieeexplore.ieee.org
Recently, machine learning has been used in every possible field to leverage its amazing
power. For a long time, the networking and distributed computing system is the key …

A Modular, End-to-End Next-Generation Network Testbed: Towards a Fully Automated Network Management Platform

A Chouman, DM Manias, A Shami - arXiv preprint arXiv:2403.15376, 2024 - arxiv.org
Experimentation in practical, end-to-end (E2E) next-generation networks deployments is
becoming increasingly prevalent and significant in the realm of modern networking and …

A survey of 5G network systems: challenges and machine learning approaches

H Fourati, R Maaloul, L Chaari - International Journal of Machine Learning …, 2021 - Springer
Abstract 5G cellular networks are expected to be the key infrastructure to deliver the
emerging services. These services bring new requirements and challenges that obstruct the …

The disruptions of 5G on data-driven technologies and applications

D Loghin, S Cai, G Chen, TTA Dinh… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
With 5G on the verge of being adopted as the next mobile network, there is a need to
analyze its impact on the landscape of computing and data management. In this paper, we …

Artificial intelligence for elastic management and orchestration of 5G networks

DM Gutierrez-Estevez, M Gramaglia… - IEEE wireless …, 2019 - ieeexplore.ieee.org
The emergence of 5G enables a broad set of diversified and heterogeneous services with
complex and potentially conflicting demands. For networks to be able to satisfy those needs …