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Deep Learning based Fast and Accurate Beamforming for Millimeter-Wave Systems
To enable beamforming, array coefficients are typically stored in look-up tables (LUTs) for subsequent referencing.
Interference Suppression Using Deep Learning: Current Approaches and Open Challenges
The key downside to non-AI techniques is the need for domain expertise in the extraction or exploitation of signal features such as cyclostationarity, bandwidth and modulation of the interfering signals.
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