Accordion: A communication-aware machine learning framework for next generation networks

F Ayed, A De Domenico… - IEEE …, 2023 - ieeexplore.ieee.org
In this article, we advocate for the design of ad hoc artificial intelligence (AI)/machine
learning (ML) models to facilitate their usage in future smart infrastructures based on …

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 …

Five facets of 6G: Research challenges and opportunities

LH Shen, KT Feng, L Hanzo - ACM Computing Surveys, 2023 - dl.acm.org
While the fifth-generation systems are being rolled out across the globe, researchers have
turned their attention to the exploration of radical next-generation solutions. At this early …

Usage of network simulators in machine-learning-assisted 5G/6G networks

F Wilhelmi, M Carrascosa, C Cano… - IEEE Wireless …, 2021 - ieeexplore.ieee.org
Without any doubt, Machine Learning (ML) will be an important driver of future
communications due to its foreseen performance when applied to complex problems …

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 …

Deep learning techniques for advancing 6G communications in the physical layer

S Zhang, J Liu, TK Rodrigues… - IEEE Wireless …, 2021 - ieeexplore.ieee.org
As current 5G communication systems cannot fulfill the stringent requirements brought by
emerging applications, 6G will innovatively employ deep learning (DL) techniques to …

Transfer learning for future wireless networks: A comprehensive survey

CT Nguyen, N Van Huynh, NH Chu, YM Saputra… - arXiv preprint arXiv …, 2021 - arxiv.org
With outstanding features, Machine Learning (ML) has been the backbone of numerous
applications in wireless networks. However, the conventional ML approaches have been …

Deep learning for wireless communications: An emerging interdisciplinary paradigm

L Dai, R Jiao, F Adachi, HV Poor… - IEEE Wireless …, 2020 - ieeexplore.ieee.org
Wireless communications are envisioned to bring about dramatic changes in the future, with
a variety of emerging applications, such as virtual reality, Internet of Things, and so on …

Artificial Intelligence in 6G Wireless Networks: Opportunities, Applications, and Challenges

A Alhammadi, I Shayea, AA El-Saleh… - … Journal of Intelligent …, 2024 - Wiley Online Library
Wireless technologies are growing unprecedentedly with the advent and increasing
popularity of wireless services worldwide. With the advancement in technology, profound …

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 …