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03/15/2022
Benchmarking and Interpreting End-to-end Learning of MIMO and Multi-User Communication
End-to-end autoencoder (AE) learning has the potential of exceeding the ...
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11/03/2021
SVD-Embedded Deep Autoencoder for MIMO Communications
Using a deep autoencoder (DAE) for end-to-end communication in multiple-...
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05/12/2020
Deep Learning for Wireless Communications
Existing communication systems exhibit inherent limitations in translati...
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05/16/2018
Approximating the Void: Learning Stochastic Channel Models from Observation with Variational Generative Adversarial Networks
Channel modeling is a critical topic when considering designing, learnin...
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03/08/2018
Physical Layer Communications System Design Over-the-Air Using Adversarial Networks
This paper presents a novel method for synthesizing new physical layer m...
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12/13/2017
Over the Air Deep Learning Based Radio Signal Classification
We conduct an in depth study on the performance of deep learning based r...
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07/19/2017
Learning Approximate Neural Estimators for Wireless Channel State Information
Estimation is a critical component of synchronization in wireless and si...
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11/01/2016
Semi-Supervised Radio Signal Identification
Radio emitter recognition in dense multi-user environments is an importa...
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02/12/2016
