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 …

Massive MIMO detection techniques: A survey

MA Albreem, M Juntti… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) is a key technology to meet the user demands
in performance and quality of services (QoS) for next generation communication systems …

Machine learning based automatic modulation recognition for wireless communications: A comprehensive survey

B Jdid, K Hassan, I Dayoub, WH Lim, M Mokayef - IEEE Access, 2021 - ieeexplore.ieee.org
The rapid development of information and wireless communication technologies together
with the large increase in the number of end-users have made the radio spectrum more …

Fusion methods for CNN-based automatic modulation classification

S Zheng, P Qi, S Chen, X Yang - IEEE Access, 2019 - ieeexplore.ieee.org
An automatic modulation classification has a very broad application in wireless
communications. Recently, deep learning has been used to solve this problem and …

Application of reinforcement learning and deep learning in multiple-input and multiple-output (MIMO) systems

M Naeem, G De Pietro, A Coronato - Sensors, 2021 - mdpi.com
The current wireless communication infrastructure has to face exponential development in
mobile traffic size, which demands high data rate, reliability, and low latency. MIMO systems …

Power allocation in cell-free massive MIMO: A deep learning method

Y Zhao, IG Niemegeers, SH De Groot - IEEE Access, 2020 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) is a key technology in 5G. It enables multiple
users to be served in the same time-frequency block through precoding or beamforming …

Deep learning based channel estimation algorithm for fast time-varying MIMO-OFDM systems

Y Liao, Y Hua, Y Cai - IEEE Communications Letters, 2019 - ieeexplore.ieee.org
Channel estimation is very challenging for multiple-input and multiple-output orthogonal
frequency division multiplexing (MIMO-OFDM) systems in high mobility environments with …

Intelligent radio signal processing: A survey

QV Pham, NT Nguyen, T Huynh-The, LB Le… - IEEE …, 2021 - ieeexplore.ieee.org
Intelligent signal processing for wireless communications is a vital task in modern wireless
systems, but it faces new challenges because of network heterogeneity, diverse service …

Learning to search for MIMO detection

J Sun, Y Zhang, J Xue, Z Xu - IEEE Transactions on Wireless …, 2020 - ieeexplore.ieee.org
This paper proposes a novel learning to learn method, called learning to learn iterative
search algorithm (LISA), for signal detection in a multi-input multi-output (MIMO) system. The …

Data stream classification based on extreme learning machine: a review

X Zheng, P Li, X Wu - Big Data Research, 2022 - Elsevier
Many daily applications are generating massive amount of data in the form of stream at an
ever higher speed, such as medical data, clicking stream, internet record and banking …