FURI | Spring 2021
Data Offloading in 5G Wireless Networks
Implementation and testing of data offloading in 5G wireless networks can be accomplished using Software Defined Radio (SDR). Developing a working system through SDR requires overcoming inherent challenges, including compensating for frequency discrepancies between kits, and the synchronization of channel variations caused by non-ideal filtering. Machine learning classification techniques can be applied to identify receiver locations, then deep learning methods utilize the channel from one receiver to estimate the channel at another. These techniques could be employed in the future to reduce the burden on the Base Stations by allowing users to cooperate and relay data to each other.
Hometown: Bethel, Connecticut, United States
Graduation date: Spring 2022