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 …

Machine learning techniques and a case study for intelligent wireless networks

H Yang, X Xie, M Kadoch - IEEE Network, 2020 - ieeexplore.ieee.org
With the widespread deployment of wireless technologies and IoT, 5G wireless networks will
support various communication connectivity and services for the huge number of wireless …

Machine learning-based antenna selection in wireless communications

J Joung - IEEE Communications Letters, 2016 - ieeexplore.ieee.org
This letter is the first attempt to conflate a machine learning technique with wireless
communications. Through interpreting the antenna selection (AS) in wireless …

[HTML][HTML] Machine Learning in Communication Systems and Networks

Y Sun, H Lee, O Simpson - Sensors, 2024 - mdpi.com
The landscape of communication environments is undergoing a revolutionary
transformation, driven by the relentless evolution of technology and the growing demands of …

[图书][B] Machine learning and wireless communications

YC Eldar, A Goldsmith, D Gündüz, HV Poor - 2022 - books.google.com
How can machine learning help the design of future communication networks-and how can
future networks meet the demands of emerging machine learning applications? Discover the …

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 …

Scalable learning paradigms for data-driven wireless communication

Y Xu, F Yin, W Xu, CH Lee, J Lin… - IEEE Communications …, 2020 - ieeexplore.ieee.org
The marriage of wireless big data and machine learning techniques revolutionizes wireless
systems by introducing data-driven philosophy. However, the ever exploding data volume …

Machine learning remakes radio

J Downey, B Hilburn, T O'Shea, N West - IEEE Spectrum, 2020 - ieeexplore.ieee.org
Machine learning remakes radio Page 1 PHOTOGRAPH BY Firstname Lastname 34 | MAY
2020 | SPECTRUM.IEEE.ORG GUTTER CREDIT GOES HERE Page 2 ILLUSTRATION BY …

Application of machine learning to antenna design and radar signal processing: A review

Y Kim - 2018 International Symposium on Antennas and …, 2018 - ieeexplore.ieee.org
Recently, machine learning has received a great deal of attention thanks to its success in a
range of applications in engineering science, medicine, and economics. The new …

Federated learning for wireless communications: Motivation, opportunities, and challenges

S Niknam, HS Dhillon, JH Reed - IEEE Communications …, 2020 - ieeexplore.ieee.org
There is a growing interest in the wireless communications community to complement the
traditional model-driven design approaches with data-driven machine learning (ML)-based …