Transmitting k samples over the Gaussian channel: Energy-distortion tradeoff

We investigate the minimum transmitted energy required to reproduce k source samples with a given fidelity after transmission over a memoryless Gaussian channel. In particular, we analyze the reduction in transmitted energy that accrues thanks to the availability of noiseless feedback. Allowing a no...

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Main Authors: Kostina, Victoria, Polyanskiy, Yury, Verdu, Sergio
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers (IEEE) 2016
Online Access:http://hdl.handle.net/1721.1/101000
https://orcid.org/0000-0002-2109-0979
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author Kostina, Victoria
Polyanskiy, Yury
Verdu, Sergio
author2 Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
author_facet Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Kostina, Victoria
Polyanskiy, Yury
Verdu, Sergio
author_sort Kostina, Victoria
collection MIT
description We investigate the minimum transmitted energy required to reproduce k source samples with a given fidelity after transmission over a memoryless Gaussian channel. In particular, we analyze the reduction in transmitted energy that accrues thanks to the availability of noiseless feedback. Allowing a nonvanishing excess distortion probability ∈ boosts the asymptotic fundamental limit by a factor of 1-∈, with or without feedback. If feedback is available, achieving guaranteed distortion with finite average energy is possible.
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spelling mit-1721.1/1010002022-10-01T14:56:35Z Transmitting k samples over the Gaussian channel: Energy-distortion tradeoff Kostina, Victoria Polyanskiy, Yury Verdu, Sergio Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Polyanskiy, Yury We investigate the minimum transmitted energy required to reproduce k source samples with a given fidelity after transmission over a memoryless Gaussian channel. In particular, we analyze the reduction in transmitted energy that accrues thanks to the availability of noiseless feedback. Allowing a nonvanishing excess distortion probability ∈ boosts the asymptotic fundamental limit by a factor of 1-∈, with or without feedback. If feedback is available, achieving guaranteed distortion with finite average energy is possible. National Science Foundation (U.S.) (Grant CCF-1016625) National Science Foundation (U.S.) (CAREER Award Grant CCF-1253205) National Science Foundation (U.S.). Science and Technology Center (Grant CCF-0939370) 2016-01-27T16:41:55Z 2016-01-27T16:41:55Z 2015-04 Article http://purl.org/eprint/type/ConferencePaper 978-1-4799-5524-4 978-1-4799-5526-8 http://hdl.handle.net/1721.1/101000 Kostina, Victoria, Yury Polyanskiy, and Sergio Verdu. “Transmitting k Samples over the Gaussian Channel: Energy-Distortion Tradeoff.” 2015 IEEE Information Theory Workshop (ITW) (April 2015). https://orcid.org/0000-0002-2109-0979 en_US http://dx.doi.org/10.1109/ITW.2015.7133162 Proceedings of the 2015 IEEE Information Theory Workshop (ITW) Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) MIT web domain
spellingShingle Kostina, Victoria
Polyanskiy, Yury
Verdu, Sergio
Transmitting k samples over the Gaussian channel: Energy-distortion tradeoff
title Transmitting k samples over the Gaussian channel: Energy-distortion tradeoff
title_full Transmitting k samples over the Gaussian channel: Energy-distortion tradeoff
title_fullStr Transmitting k samples over the Gaussian channel: Energy-distortion tradeoff
title_full_unstemmed Transmitting k samples over the Gaussian channel: Energy-distortion tradeoff
title_short Transmitting k samples over the Gaussian channel: Energy-distortion tradeoff
title_sort transmitting k samples over the gaussian channel energy distortion tradeoff
url http://hdl.handle.net/1721.1/101000
https://orcid.org/0000-0002-2109-0979
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