Role of deep learning in wireless communications

W Yu, F Sohrabi, T Jiang - IEEE BITS the Information Theory …, 2022 - ieeexplore.ieee.org
Traditional communication system design has always been based on the paradigm of first
establishing a mathematical model of the communication channel, then designing and …

Deep learning in mobile and wireless networking: A survey

C Zhang, P Patras, H Haddadi - IEEE Communications surveys …, 2019 - ieeexplore.ieee.org
The rapid uptake of mobile devices and the rising popularity of mobile applications and
services pose unprecedented demands on mobile and wireless networking infrastructure …

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 …

[引用][C] Applications of machine learning in wireless communications

R He, Z Ding - 2019 - Telecommunications

Machine learning for wireless communications in the Internet of Things: A comprehensive survey

J Jagannath, N Polosky, A Jagannath, F Restuccia… - Ad Hoc Networks, 2019 - Elsevier
Abstract The Internet of Things (IoT) is expected to require more effective and efficient
wireless communications than ever before. For this reason, techniques such as spectrum …

[HTML][HTML] Machine learning and intelligent communications

XL Huang, X Ma, F Hu - Mobile Networks and Applications, 2018 - Springer
Along with the fast developing of mobile communications technologies, the amount of high
quality wireless services is required and increasing exponentially. According to the …

[HTML][HTML] Toward intelligent wireless communications: Deep learning-based physical layer technologies

S Liu, T Wang, S Wang - Digital Communications and Networks, 2021 - Elsevier
Advanced technologies are required in future mobile wireless networks to support services
with highly diverse requirements in terms of high data rate and reliability, low latency, and …

[图书][B] White Paper on Machine Learning in 6G Wireless Communication Networks: 6G Research Visions, No. 7, 2020

A Samad, W Saad, R Nandana, C Kapseok… - 2020 - diva-portal.org
This white paper discusses various topics, advances, and projections regarding machine
learning (ML) in wireless communications. Sixth generation (6G) wireless communications …

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 …

Communicate to learn at the edge

D Gündüz, DB Kurka, M Jankowski… - IEEE …, 2020 - ieeexplore.ieee.org
Bringing the success of modern machine learning (ML) techniques to mobile devices can
enable many new services and businesses, but also poses significant technical and …