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

J Park, S Samarakoon, A Elgabli, J Kim… - arXiv preprint arXiv …, 2020 - arxiv.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 …

[PDF][PDF] Thirty years of machine learning: The road to pareto-optimal next-generation wireless networks

J Wang, C Jiang, H Zhang, Y Ren… - arXiv preprint arXiv …, 2019 - researchgate.net
Next-generation wireless networks (NGWN) have a substantial potential in terms of
supporting a broad range of complex compelling applications both in military and civilian …

Unveiling the Potential of Artificial Intelligence and Machine Learning in the 5G Network Landscape: A Comprehensive Review

S Rizvi - Asian Journal of Research in Computer …, 2023 - publications.article4sub.com
Exploring successful case studies, scholars and industry experts concur that artificial
intelligence (AI) and 5G technology, as holistic solutions, exhibit remarkable efficiency. The …

At the Dawn of Generative AI Era: A tutorial-cum-survey on new frontiers in 6G wireless intelligence

A Celik, AM Eltawil - IEEE Open Journal of the …, 2024 - ieeexplore.ieee.org
As we transition from the 5G epoch, a new horizon beckons with the advent of 6G, seeking a
profound fusion with novel communication paradigms and emerging technological trends …

Thirty years of machine learning: The road to Pareto-optimal wireless networks

J Wang, C Jiang, H Zhang, Y Ren… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Future wireless networks have a substantial potential in terms of supporting a broad range of
complex compelling applications both in military and civilian fields, where the users are able …

Overview of distributed machine learning techniques for 6G networks

E Muscinelli, SS Shinde, D Tarchi - Algorithms, 2022 - mdpi.com
The main goal of this paper is to survey the influential research of distributed learning
technologies playing a key role in the 6G world. Upcoming 6G technology is expected to …

Deep learning-aided 6G wireless networks: A comprehensive survey of revolutionary PHY architectures

B Ozpoyraz, AT Dogukan, Y Gevez… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
Deep learning (DL) has proven its unprecedented success in diverse fields such as
computer vision, natural language processing, and speech recognition by its strong …

Machine learning in the air

D Gündüz, P De Kerret, ND Sidiropoulos… - IEEE Journal on …, 2019 - ieeexplore.ieee.org
Thanks to the recent advances in processing speed, data acquisition and storage, machine
learning (ML) is penetrating every facet of our lives, and transforming research in many …

The convergence of machine learning and communications

W Samek, S Stanczak, T Wiegand - arXiv preprint arXiv:1708.08299, 2017 - arxiv.org
The areas of machine learning and communication technology are converging. Today's
communications systems generate a huge amount of traffic data, which can help to …

Emerging techniques and applications for 5G networks and beyond

VD Nguyen, TQ Duong, QT Vien - Mobile Networks and Applications, 2020 - Springer
It is predicted that 50 billion devices will be connected to the Internet by 2020, and the
number of mobile-connected devices will exceed 11.5 billion by 2019. These growth …