Artificial intelligence for channel estimation in multicarrier systems for B5G/6G communications: a survey

EC Vilas Boas, JDS e Silva, FAP de Figueiredo… - EURASIP Journal on …, 2022 - Springer
Multicarrier modulation allows for deploying wideband systems resilient to multipath fading
channels, impulsive noise, and intersymbol interference compared to single-carrier systems …

Deep learning-based signal detection for underwater acoustic otfs communication

Y Zhang, S Zhang, B Wang, Y Liu, W Bai… - Journal of Marine …, 2022 - mdpi.com
Orthogonal time frequency space (OTFS) is a novel two-dimensional (2D) modulation
technique that provides reliable communications over time-and frequency-selective …

Deep learning channel estimation for OFDM 5G systems with different channel models

ASM Mohammed, AIA Taman, AM Hassan… - Wireless Personal …, 2023 - Springer
At cellular wireless communication systems, channel estimation (CE) is one of the key
techniques that are used in Orthogonal Frequency Division Multiplexing modulation …

A novel concatenate feature fusion RCNN architecture for sEMG-based hand gesture recognition

P Xu, F Li, H Wang - PloS one, 2022 - journals.plos.org
Hand gesture recognition tasks based on surface electromyography (sEMG) are vital in
human-computer interaction, speech detection, robot control, and rehabilitation applications …

Malicious URL detection based on improved multilayer recurrent convolutional neural network model

Z Chen, Y Liu, C Chen, M Lu… - Security and …, 2021 - Wiley Online Library
The traditional malicious uniform resource locator (URL) detection method excessively relies
on the matching rules formulated by the network security personnel, which is hard to fully …

[HTML][HTML] Deep bidirectional LSTM for the signal detection of universal filtered multicarrier systems

MF Ahammed, AA Molla, R Kadir, MI Kadir - Machine Learning with …, 2022 - Elsevier
Universal filtered multicarrier (UFMC) has emerged as a potential waveform contender of
orthogonal frequency division multiplexing (OFDM) for the fifth generation (5G) and beyond …

Designing Constant Modulus Approximate Binary Phase Waveforms for Multi-Target Detection in MIMO Radar using LSTM Networks

Z Qiu, K Duan, Y Wang, Z Liao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Multiple-input–multiple-output (MIMO) radar can improve target detection capability due to
its increased spatial degrees of freedom compared with traditional phased array radar …

[PDF][PDF] Effective deep learning-based channel state estimation and signal detection for OFDM wireless systems

HA Hassan, MA Mohamed, MH Essai… - Journal of Electrical …, 2023 - sciendo.com
Deep learning (DL) algorithms can enhance wireless communication system efficiency and
address numerous physical layer challenges. Channel state estimation (CSE) and signal …

Examination of the non-orthogonal multiple access system using long short memory based deep neural network

R Shankar, TV Ramana, P Singh… - Journal of Mobile …, 2022 - journals.riverpublishers.com
This paper investigates deep learning (DL) non-orthogonal multiple access (NOMA)
receivers based on long short-term memory (LSTM) under Rayleigh fading channel …

Towards the Intelligent OFDM Receiving Method With Hybrid Knowledge and Data Driven in IoT

B Wang, H Dai, H Zhou, Z Yuan - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Orthogonal frequency-division multiplexing (OFDM) is regarded as one of the key
technologies in wireless communications, particularly in the integration of space and ground …