VLCMnet-Based Modulation Format Recognition for Indoor Visible Light Communication Systems
X Zheng, Y He, C Zhang, P Miao - Photonics, 2024 - mdpi.com
In indoor visible light communication (VLC), the received signals are subject to severe
interference due to factors such as high-brightness backgrounds, long-distance …
interference due to factors such as high-brightness backgrounds, long-distance …
Deep Learning-Based Automatic Modulation Format Identification For I2V Visible Light Communication
The performance of Infrastructure-to-vehicle (I2V) visible light communication (VLC) links is
influenced by multiple elements, rendering fixed modulation order inadequate for data …
influenced by multiple elements, rendering fixed modulation order inadequate for data …
Modulation format recognition based on transfer learning for visible light communication systems
We demonstrate a novel modulation format recognition method using transfer learning for
OFDM-VLC systems. The proposed AlexNet/GoogLeNet-TL-based scheme significantly …
OFDM-VLC systems. The proposed AlexNet/GoogLeNet-TL-based scheme significantly …
Deep learning approach for automatic modulation format identification in vehicular visible light communications
Abstract Automatic Modulation Format Identification (AMFI) is an important issue in Visible
Light Communication (VLC). There are several factors that affect the performance of …
Light Communication (VLC). There are several factors that affect the performance of …
Application and comparison of active and transfer learning approaches for modulation format classification in visible light communication systems
Automatic modulation classification (AMC) is a crucial part of adaptive modulation schemes
for visible light communication (VLC) systems. However, most of the deep learning (DL) …
for visible light communication (VLC) systems. However, most of the deep learning (DL) …
ViRSMALNet: A Twin-Tier LSTM-Based Deep Learning Network for Indoor MIMO RSMA VLC Systems
AK Kowshik, S Gurugopinath… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
In this article, we present a twin-tiered deep learning (DL) symbol detector architecture for a
multi-user multiple-input multiple-output (MIMO) visible light communication (VLC) system …
multi-user multiple-input multiple-output (MIMO) visible light communication (VLC) system …
A Machine Learning based M-ary Amplitude Modulated Visible Light Communication System
Visible Light Communication (VLC), which operates in the Terahertz band, is theoretically
capable of terabits/second data speeds. However, traditional state-of-the-art VLC has largely …
capable of terabits/second data speeds. However, traditional state-of-the-art VLC has largely …
Symmetry of constellation diagram-based intelligent SNR estimation for visible light communications
M Wang, Z Zhang, H Zhang, Z Ghassemlooy… - Optics Letters, 2024 - opg.optica.org
Visible light communication (VLC) technology with rich spectrum resources is thought of as
an essential component in the future ubiquitous communication networks. Accurately …
an essential component in the future ubiquitous communication networks. Accurately …
Machine learning in visible light communication system: A survey
With the widespread adoption of high bandwidth utilisation, visible light communication
(VLC) has emerged as a potential solution to meet the demands for high‐speed data …
(VLC) has emerged as a potential solution to meet the demands for high‐speed data …
Enhanced deep learning based channel estimation for indoor VLC systems
This paper aims to improve the channel estimation (CE) in the indoor visible light
communication (VLC) system. We propose a system that depends on a comparison between …
communication (VLC) system. We propose a system that depends on a comparison between …