Performance analysis of neural network-based unified physical layer for indoor hybrid LiFi–WiFi flying networks

DN Anwar, R Ahmad, H Bany Salameh… - Neural Computing and …, 2023 - Springer
The recent developments in unmanned aerial vehicles (UAVs) and indoor hybrid LiFi–WiFi
networks (HLWNs) present a significant opportunity for creating low-cost, power-efficient …

Deep Learning in Physical Layer: Review on Data Driven End-to-End Communication Systems and their Enabling Semantic Applications

N Islam, S Shin - arXiv preprint arXiv:2401.12800, 2024 - arxiv.org
Deep Learning (DL) has enabled a paradigm shift in wireless communication system with
data driven end-to-end (E2E) learning and optimization of the Physical Layer (PHY). By …

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 …

Physical layer authentication of MIMO-STBC systems based on constellation dithering

Y An, H Bai, S Zhang, Z Ji - Intelligent and Converged Networks, 2023 - ieeexplore.ieee.org
Most of the existing physical layer watermarking authentication schemes are based on a
single-input single-output system and require pre-issue of shared keys. To address these …

Impact of Optical-to-Electrical Conversion on the Design of an End-to-End Learning RGB-LED-Based Visible Light Communication System

JM Luna-Rivera, J Rabadan, J Rufo, CA Gutierrez… - Photonics, 2024 - mdpi.com
Visible Light Communication (VLC) is emerging as a promising technology to meet the
demands of fifth-generation (5G) networks and the Internet of Things (IoT). This study …

CNNs-based end-to-end asymmetric encrypted communication system

Y An, Z Hu, H Cai, Z Ji - Intelligent and Converged Networks, 2023 - ieeexplore.ieee.org
In this paper, we propose an asymmetric encrypted end-to-end communication system
based on convolutional neural networks to solve the problem of secure transmission in the …

Wireless channel modeling using generative machine learning models

J Juhava - 2023 - aaltodoc.aalto.fi
Generative models have been proposed for wireless channel modeling and they can be
trained using channel measurements to represent complicated channel distributions. One …

Performance Evaluation and Analysis of Deep Learning Autoencoder-Based Wireless Communication System

E Ismail, A Ali, OAM Aly… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Recent advancements in deep learning have led to the emergence of autoencoder-based
(AE) wireless communication systems, presenting a promising approach to tackle the …

[PDF][PDF] Machine Learning in IIoT Communication

AS Jadhav - researchgate.net
The Industrial Internet of Things (IIoT) is essential for improving productivity and security in
industrial settings. This study employs two strategies—holistic and step-by-step—to improve …