Over-the-air Aggregation-based Federated Learning for Technology Recognition in Multi-RAT Networks
Merkebu Girmay,
Mohamed Seif,
Vasilis Maglogiannis
et al.
Abstract:<p>With the continuous evolution of wireless communication and the explosive growth in data traffic, decentralized spectrum sensing has become essential for the optimal utilization of wireless resources. In this direction, we propose an over-the-air aggregation-based Federated Learning (FL) for a technology recognition model that can identify signals from multiple Radio Access Technologies (RATs), including Wi-Fi, Long Term Evolution (LTE), 5G New Radio (NR), Cellular Vehicle-to-Everything PC5 (C-V2X PC5… Show more
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