Shlezinger Lab

Ben-Gurion University of the Negev

- · Israel

ERC-funded
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ERC Starting Grant · 2024

Flexible Lightweight AI-Aided Receivers

Artificial intelligence (AI) is envisioned to play a key role in future wireless technologies, with deep neural networks (DNNs) enabling digital receivers to learn to operate in challenging communication scenarios. However, wireless receiver design poses unique challenges that fundamentally differ from those encountered in traditional deep learning domains. The main challenges arise from the dynamic nature of wireless communications, which causes continual changes to the data distribution, combined with the limited power and computational resources of wireless devices. These challenges impair conventional AI based on offline trained massive DNNs. Our ambitious goal is to introduce a new…

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