A Millimeter-Wave Software-Defined Radio for Wireless Experimentation

Author:

Şahin Alphan1,Sichitiu Mihail L.2,Güvenç İsmail2

Affiliation:

1. University of South Carolina,Columbia

2. North Carolina State University,Raleigh

Funder

NSF

Publisher

IEEE

Reference9 articles.

1. A demonstration of over-the-air-computation for FEEL;?ahin;Proc IEEE GLOBECOM Workshops - Workshop on Wireless Communications for Distributed Intelligence,2022

2. Deep Neural Network-Based Human Activity Classifier in 60 GHz WLAN Channels

3. A real-time experimentation platform for sub-6 GHz and millimeter-wave MIMO systems

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1. Eye-Beam: A mmWave 5G-Compliant Platform for Integrated Communications and Sensing Enabling AI-Based Object Recognition;IEEE Journal on Selected Areas in Communications;2024-09

2. Highly Flexible and Scalable Millimeter Wave Software Defined Radio;2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON);2024-06-25

3. ML-Enabled Millimeter-Wave Software-Defined Radio With Programmable Directionality;IEEE Transactions on Machine Learning in Communications and Networking;2024

4. On Differential Privacy for Wireless Federated Learning with Non-coherent Aggregation;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04

5. Reinforcement Learning Based Angle-of-Arrival Detection for Millimeter-Wave Software-Defined Radio Systems;Internet of Things. Advances in Information and Communication Technology;2023-10-26

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