FURI | Summer 2024

Wireless Communications Dataset Generation for Device-to-Device Communication

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This research aims to generate a comprehensive dataset encompassing both Receiver-to-Receiver and Base Station-to-Receiver channel characteristics of a large number of users. The dataset will facilitate the development of a machine learning proof of concept algorithm aimed at predicting channel characteristics between users, eliminating the reliance of a base station for connectivity. This research aims to advance predictive modeling in wireless networks and enhance network efficiency.

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