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 …

Machine learning for 5G/B5G mobile and wireless communications: Potential, limitations, and future directions

ME Morocho-Cayamcela, H Lee, W Lim - IEEE access, 2019 - ieeexplore.ieee.org
Driven by the demand to accommodate today's growing mobile traffic, 5G is designed to be
a key enabler and a leading infrastructure provider in the information and communication …

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 …

Big data enabled mobile network design for 5G and beyond

S Han, I Chih-Lin, G Li, S Wang… - IEEE Communications …, 2017 - ieeexplore.ieee.org
Mobile communication networks are more and more characterized by the integration of
distributed and centralized computing and storage resources. Big data capability thus …

Synergy of big data and 5G wireless networks: opportunities, approaches, and challenges

N Zhang, P Yang, J Ren, D Chen… - IEEE Wireless …, 2018 - ieeexplore.ieee.org
This article presents the synergistic and complementary features of big data and 5G wireless
networks. An overview of their interplay is provided first, including big-data-driven …

5G wireless networks meet big data challenges, trends, and applications

C Zhu, X Cheng, H Ye, J Yang, L Xu… - 2019 IEEE SmartWorld …, 2019 - ieeexplore.ieee.org
The next-generation (5G) wireless networks have been evolving into very complex systems
due to the diversified service requirements, heterogeneity in applications, devices, and …

Evolution toward intelligent communications: Impact of deep learning applications on the future of 6G technology

M Abd Elaziz, MAA Al‐qaness, A Dahou… - … : Data Mining and …, 2024 - Wiley Online Library
The sixth generation (6G) represents the next evolution in wireless communication
technology and is currently under research and development. It is expected to deliver faster …

A flexible machine-learning-aware architecture for future WLANs

F Wilhelmi, S Barrachina-Muñoz… - IEEE …, 2020 - ieeexplore.ieee.org
Lots of hopes have been placed on machine learning (ML) as a key enabler of future
wireless networks. By taking advantage of large volumes of data, ML is expected to deal with …

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 …

Machine learning for large-scale optimization in 6g wireless networks

Y Shi, L Lian, Y Shi, Z Wang, Y Zhou… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The sixth generation (6G) wireless systems are envisioned to enable the paradigm shift from
“connected things” to “connected intelligence”, featured by ultra high density, large-scale …