Transfer learning promotes 6G wireless communications: Recent advances and future challenges
M Wang, Y Lin, Q Tian, G Si - IEEE Transactions on Reliability, 2021 - ieeexplore.ieee.org
In the coming 6G communications, network densification, high throughput, positioning
accuracy, energy efficiency, and many other key performance indicator requirements are …
accuracy, energy efficiency, and many other key performance indicator requirements are …
Transfer learning for wireless networks: A comprehensive survey
With outstanding features, machine learning (ML) has become the backbone of numerous
applications in wireless networks. However, the conventional ML approaches face many …
applications in wireless networks. However, the conventional ML approaches face many …
Transfer learning for future wireless networks: A comprehensive survey
With outstanding features, Machine Learning (ML) has been the backbone of numerous
applications in wireless networks. However, the conventional ML approaches have been …
applications in wireless networks. However, the conventional ML approaches have been …
[图书][B] White Paper on Machine Learning in 6G Wireless Communication Networks: 6G Research Visions, No. 7, 2020
This white paper discusses various topics, advances, and projections regarding machine
learning (ML) in wireless communications. Sixth generation (6G) wireless communications …
learning (ML) in wireless communications. Sixth generation (6G) wireless communications …
Machine learning techniques for 5G and beyond
Wireless communication systems play a very crucial role in modern society for
entertainment, business, commercial, health and safety applications. These systems keep …
entertainment, business, commercial, health and safety applications. These systems keep …
A survey of recent advances in transfer learning
H Liang, W Fu, F Yi - 2019 IEEE 19th international conference …, 2019 - ieeexplore.ieee.org
The integration of transfer learning methods and other machine learning branches can bring
a good improvement in speed and performance, it has become a good research topic in the …
a good improvement in speed and performance, it has become a good research topic in the …
Machine learning for 5G/B5G mobile and wireless communications: Potential, limitations, and future directions
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 …
a key enabler and a leading infrastructure provider in the information and communication …
Learning-driven wireless communications, towards 6G
MJ Piran, DY Suh - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
The fifth generation (5G) of wireless communication is in its infancy, and its evolving
versions will be launched over the coming years. However, according to exposing the …
versions will be launched over the coming years. However, according to exposing the …
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 …
Transfer learning for radio frequency machine learning: a taxonomy and survey
LJ Wong, AJ Michaels - Sensors, 2022 - mdpi.com
Transfer learning is a pervasive technology in computer vision and natural language
processing fields, yielding exponential performance improvements by leveraging prior …
processing fields, yielding exponential performance improvements by leveraging prior …