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Preprints
Citation key | MatOver2021 |
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Author | M. Frey, I. Bjelakovic and S. Stanczak |
Year | 2021 |
Journal | Submitted to IEEE Transactions on Signal Processing. Final version available at arXiv:2101.04690 |
Abstract | This paper presents and analyzes a one-shot coding scheme for the \glsota computation over a fast-fading multiple-access wireless channel. The assumed channel model incorporates correlations both in fading and noise over time as well as among users. The model also allows for non-Gaussian components in fading and noise, provided that the distributions are sub-Gaussian (as is the case for a sum of Gaussian and bounded random variables), rendering the proposed scheme robust to a large class of non-Gaussian interference and noise known to occur in many practical scenarios. OTA computation has a huge potential for reducing communication cost in applications such as Machine Learning (ML)-based distributed anomaly detection in large wireless sensor networks. We illustrate this potential through extensive numerical simulations. |