Deep Convolutional and Recurrent Neural-Network-Based Optimal Decoding for RIS-Assisted MIMO Communication

MH Rahman, MAS Sejan, MA Aziz, DS Kim, YH You… - Mathematics, 2023 - mdpi.com
The reconfigurable intelligent surface (RIS) is one of the most innovative and revolutionary
technologies for increasing the effectiveness of wireless systems. Deep learning (DL) is a …

Deep Learning for Channel Estimation in Physical Layer Wireless Communications: Fundamental, Methods, and Challenges

C Lv, Z Luo - Electronics, 2023 - mdpi.com
With the rapid development of wireless communication technology, intelligent
communication has become one of the mainstream research directions after the fifth …

Deep learning peephole LSTM neural network-based channel state estimators for OFDM 5G and beyond networks

MH Essai Ali, AR Abdellah, HA Atallah, GS Ahmed… - Mathematics, 2023 - mdpi.com
This study uses deep learning (DL) techniques for pilot-based channel estimation in
orthogonal frequency division multiplexing (OFDM). Conventional channel estimators in pilot …

Deep learning-assisted OFDM channel estimation and signal detection technology

J Li, Z Zhang, Y Wang, B He… - IEEE Communications …, 2023 - ieeexplore.ieee.org
The orthogonal frequency division multiplexing (OFDM) technique has received wide
attention because of its high spectrum utilization. However, the drawback of inter-subcarrier …

Deep Recurrent Neural Network Based Detector for OFDM with Index Modulation

MA Aziz, MH Rahman, MAS Sejan, R Tabassum… - IEEE …, 2024 - ieeexplore.ieee.org
Index modulation (IM) leads to a decrease in power consumption and transmitter complexity
compared to classical orthogonal frequency division multiplexing (OFDM) systems. The …

Deep learning-based sequential models for multi-user detection with M-PSK for downlink NOMA wireless communication systems

B Panda, P Singh - Annals of Telecommunications, 2023 - Springer
Non-orthogonal multiple access (NOMA) techniques have the potential to achieve large
connectivity requirements for future-generation wireless communication. NOMA detection …

An efficient and reliable OFDM channel state estimator using deep learning convolutional neural networks

HA Hassan, MA Mohamed, MH Essai… - JES. Journal of …, 2023 - journals.ekb.eg
Orthogonal frequency division multiplexing (OFDM) wireless systems rely heavily on
channel state estimation (CSE) to mitigate the effects of multipath channel fading. Achieving …

[PDF][PDF] Relationship between Marine Resources growth and Marine Economy Based on Neural Network

G Onesmus - Frontiers in Ocean Engineering, 2022 - scholar-press.com
With the rapid growth of China's economy, people pay more and more attention to marine
resources. In the process of growth and utilization, how to deal with the relationship with the …

Predictive Analytics of Bitcoin Cryptocurrency Price Prediction: A Recurrent Neural Network Approach

A Muniasamy, SAS Alquhtani, LEG Alsid - AI in Business: Opportunities …, 2024 - Springer
Bitcoin is currently the most well-known cryptocurrency, and its market is extremely volatile.
The evolution of the financial system is influenced by the growing popularity and commercial …

[PDF][PDF] LSTM projected layer neural network-based signal estimation and channel state estimator for OFDM wireless communication systems.

SJ Olickal, R Jose - AIMS Electronics & Electrical Engineering, 2023 - aimspress.com
Advanced wireless communication technologies, such as 5G, are faced with significant
challenges in accurately estimating the transmitted signal and characterizing the channel …