Sujal Prajapati
Computer science
Hometown: Mumbai, Maharashtra, India
Graduation date: Spring 2027
Additional details: First-generation college student
FURI | Spring 2025
Machine Learning-based Channel Prediction for Wireless Communication Efficiency
This research project explores the use of machine learning techniques to predict wireless channel characteristics between two users. Channel estimation is essential for wireless communication systems but is resource-intensive and time-consuming. This study leverages machine learning models, including Random Forest and Support Vector Classifier (SVC), to predict complex channel parameters from a dataset characterizing wireless channels. By training and evaluating these models, the research aims to improve prediction accuracy, reducing the need for real-time estimation. Enhanced channel prediction will increase communication reliability, reduce latency, and improve overall system efficiency, contributing to more adaptive and responsive wireless networks.
Mentor: Ahmed Ewaisha
It’s hip to be square.
Students presenting projects at the Fulton Forge Student Research Expo are encouraged to download this personal QR code and include it within your poster. This allows expo attendees to explore more about your project and about you in the future.
Right click the image to save it to your computer.