딥러닝을활용한무선전송및접속기술동향

김근영, 명정호, 서지훈 - 전자통신동향분석, 2018 - scholar.kyobobook.co.kr
Deep learning is a promising solution to a number of complex problems based on its
inherent capability to approximate almost all types of functions without the demand for …

Research Trends on Wireless Transmission and Access Technologies Using Deep Learning

K Kim, J Myung, J Seo - Electronics and Telecommunications …, 2018 - koreascience.kr
Deep learning is a promising solution to a number of complex problems based on its
inherent capability to approximate almost all types of functions without the demand for …

Research progress and trends of deep learning based wireless communication receiving method.

LI Panpan, XIE Zhengxia… - Telecommunications …, 2022 - search.ebscohost.com
With the continues expansion of the application boundary for wireless communications, the
application environment of wireless communications is becoming increasingly complex and …

[PDF][PDF] Deep learning techniques for next generation wireless networks

M Al Awad - 2023 - research.manchester.ac.uk
Thesis Title Page 1 Deep Learning Techniques for Next Generation Wireless Networks A thesis
submitted to The University of Manchester for the degree of Doctor of Philosophy in the Faculty …

Deep learning for intelligent wireless networks: A comprehensive survey

Q Mao, F Hu, Q Hao - IEEE Communications Surveys & …, 2018 - ieeexplore.ieee.org
As a promising machine learning tool to handle the accurate pattern recognition from
complex raw data, deep learning (DL) is becoming a powerful method to add intelligence to …

Review on Deep Learning in Wireless Communication Networks

Shewangi, R Garg - International Conference on Next Generation Systems …, 2022 - Springer
Internet-connected mobile devices are increasing day by day in almost every domain which
created a surge in mobile data traffic so an advanced system is highly needed that can …

[PDF][PDF] Iterative deep learning receiver

R Niemi, M Honkala - 2022 - helda.helsinki.fi
Deep learning offers an opportunity to address various problems. In wireless networks, deep
learning has been proposed to be used for various tasks, such as resource management …

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 …

Machine learning for future wireless communications

FL Luo - 2020 - books.google.com
A comprehensive review to the theory, application and research of machine learning for
future wireless communications In one single volume, Machine Learning for Future Wireless …

Deep Learning in Wireless Communications for Physical Layer

J Zhao, C Liu, J Liao, D Wang - Available at SSRN 4821023 - papers.ssrn.com
Current wireless communication faces challenges of spectrum congestion, interference, and
accommodating Internet of Things and 5G demands. Artificial intelligence (AI) has recently …