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. By taking advantage of large volumes of data, ML is expected to deal with …
6G white paper on machine learning in wireless communication networks
The focus of this white paper is on machine learning (ML) in wireless communications. 6G
wireless communication networks will be the backbone of the digital transformation of …
wireless communication networks will be the backbone of the digital transformation of …
Deep learning-driven wireless communication for edge-cloud computing: opportunities and challenges
Future wireless communications are becoming increasingly complex with different radio
access technologies, transmission backhauls, and network slices, and they play an …
access technologies, transmission backhauls, and network slices, and they play an …
Communication-efficient and distributed learning over wireless networks: Principles and applications
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 …
systems and beyond. By imbuing intelligence into the network edge, edge nodes can …
Machine learning for physical layer in 5G and beyond wireless networks: A survey
Fifth-generation (5G) technology will play a vital role in future wireless networks. The
breakthrough 5G technology will unleash a massive Internet of Everything (IoE), where …
breakthrough 5G technology will unleash a massive Internet of Everything (IoE), where …
A study on the adoption of Wireless Communication in Big Data Analytics Using Neural Networks and Deep Learning
P Rohini, S Tripathi, CM Preeti… - 2022 2nd …, 2022 - ieeexplore.ieee.org
The study explores about the Wireless communication which is one of the most rapidly
evolving and active technology fields in the communication world. Wireless communication …
evolving and active technology fields in the communication world. Wireless communication …
Emerging techniques and applications for 5G networks and beyond
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 …
number of mobile-connected devices will exceed 11.5 billion by 2019. These growth …
Wireless network intelligence at the edge
Fueled by the availability of more data and computing power, recent breakthroughs in cloud-
based machine learning (ML) have transformed every aspect of our lives from face …
based machine learning (ML) have transformed every aspect of our lives from face …
A very brief introduction to machine learning with applications to communication systems
O Simeone - IEEE Transactions on Cognitive Communications …, 2018 - ieeexplore.ieee.org
Given the unprecedented availability of data and computing resources, there is widespread
renewed interest in applying data-driven machine learning methods to problems for which …
renewed interest in applying data-driven machine learning methods to problems for which …
How neural architectures affect deep learning for communication networks?
Y Shen, J Zhang, KB Letaief - ICC 2022-IEEE international …, 2022 - ieeexplore.ieee.org
In recent years, there has been a surge in applying deep learning to various challenging
design problems in communication networks. The early attempts adopt neural architectures …
design problems in communication networks. The early attempts adopt neural architectures …