Back close

ML based Visible Light Communication

Dept/Center/Lab: Amrita Center for Wireless Networks and Applications (AWNA)

Project Incharge:Dr. Aryadevi R. D.
Co-Project Incharge:Dr. Maneesha Vinodini Ramesh
ML based Visible Light Communication

Machine Learning-Based Visible Light Communication (ML-VLC) Technology combines the power of machine learning algorithms with visible light communication systems. This innovative approach optimizes data transmission, mitigates signal interference, and enhances communication efficiency through the intelligent adaptation of ML algorithms to varying light conditions, making it a cutting-edge solution for high-performance wireless communication.

Name of students and staff from Amrita : Heshan Niranga (PhD Student)

Publication Details

Related Projects

Non-invasive Detection of Glucose using Planar RF Sensors
Non-invasive Detection of Glucose using Planar RF Sensors
A Low-cost hand and arm rehabilitation systems
A Low-cost hand and arm rehabilitation systems
Synthesis and Characterization of Novel Porphyrins with Different Chromophores for Developing Optoelectronic Materials and Devices
Synthesis and Characterization of Novel Porphyrins with Different Chromophores for Developing Optoelectronic Materials and Devices
Towards Precision Dosing: AI – Enhanced Model Predictive Control Closed Loop Infusion Pump for ICUs 
Towards Precision Dosing: AI – Enhanced Model Predictive Control Closed Loop Infusion Pump for ICUs 
Multi-User Detection in Sporadic 3GPP Massive M2M Communication via Compressed Sensing
Multi-User Detection in Sporadic 3GPP Massive M2M Communication via Compressed Sensing
Admissions Apply Now