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Engineering  |  FURI
FURI Spring 2020
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Improving Data Rate for 5G Systems using USRP Kits

In this research project, machine learning is utilized for channel estimation. Channel gains can be manually estimated, but the downside of manually calculating estimating the channels is that it is highly time-consuming. Therefore, in this project, machine learning algorithms are brought into play to reduce estimation time. The algorithms used throughout the project were designed in MATLAB and the resultant accuracy of the channel estimation was 40% and above.

Youssef Serag

Youssef Serag

Tempe, Arizona, United States

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