FURI | Spring 2024

Exploring Channel Characteristics: A Comprehensive Study and Dataset Collection in Wireless Communications

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This research endeavors to generate a comprehensive dataset of wireless channel characteristics between a network of users. Leveraging machine learning algorithms, the research identifies highly correlated channel attributes, facilitating accurate channel prediction without exhaustive computation. This innovative approach aims to optimize wireless device-to-device communication systems, ensuring enhanced network reliability and efficiency. Future work could explore real-world implementation and validation of the predictive model in diverse wireless communication scenarios.

Student researcher

Ruben M. Aguilera

Electrical engineering

Hometown: Buckeye, Arizona, United States

Graduation date: Fall 2024