CORDIS Project
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This project aims to develop lightweight artificial intelligence for wireless communications, addressing the unique challenges posed by dynamic environments. It focuses on creating adaptable receiver architectures and a new learning paradigm that enables continual learning with minimal complexity.
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, combi…
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