Multi-hop amplify-and-forward relaying enables near-perfect over-the-air realization of fully-connected neural layers via joint optimization of precoders, combiners, and relay gains under power constraints.
Over-the-air split machine learning in wireless mimo networks,
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Five heuristic pilot allocation schemes for multi-hop OTA neural inference trade training overhead for classification accuracy under CSI errors, approaching digital performance with sufficient pilots and balanced resources.
citing papers explorer
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Realization of a Fully Connected Neural Layer Over-the-Air through Multi-hop Amplify-and-Forward Relays
Multi-hop amplify-and-forward relaying enables near-perfect over-the-air realization of fully-connected neural layers via joint optimization of precoders, combiners, and relay gains under power constraints.
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Pilot Allocation for Multi-Hop Over-the-Air Neural Inference under Imperfect CSI
Five heuristic pilot allocation schemes for multi-hop OTA neural inference trade training overhead for classification accuracy under CSI errors, approaching digital performance with sufficient pilots and balanced resources.