Continuous time channels with interference

Khanna and Sudan [2] studied a natural model of continuous time channels where signals are corrupted by the effects of both noise and delay, and showed that, surprisingly, in some cases both are not enough to prevent such channels from achieving unbounded capacity. Inspired by their work, we conside...

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Main Authors: Ivan, Ioana Elisabeta, Mitzenmacher, Michael, Thaler, Justin, Yuen, Henry
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers (IEEE) 2013
Online Access:http://hdl.handle.net/1721.1/76664
https://orcid.org/0000-0002-2684-1129
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author Ivan, Ioana Elisabeta
Mitzenmacher, Michael
Thaler, Justin
Yuen, Henry
author2 Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
author_facet Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Ivan, Ioana Elisabeta
Mitzenmacher, Michael
Thaler, Justin
Yuen, Henry
author_sort Ivan, Ioana Elisabeta
collection MIT
description Khanna and Sudan [2] studied a natural model of continuous time channels where signals are corrupted by the effects of both noise and delay, and showed that, surprisingly, in some cases both are not enough to prevent such channels from achieving unbounded capacity. Inspired by their work, we consider channels that model continuous time communication with adversarial delay errors. The sender is allowed to subdivide time into an arbitrarily large number M of micro-units in which binary symbols may be sent, but the symbols are subject to unpredictable delays and may interfere with each other. We model interference by having symbols that land in the same micro-unit of time be summed, and we study k-interference channels, which allow receivers to distinguish sums up to the value k. We consider both a channel adversary that has a limit on the maximum number of steps it can delay each symbol, and a more powerful adversary that only has a bound on the average delay. We give precise characterizations of the threshold between finite and infinite capacity depending on the interference behavior and on the type of channel adversary: for max-bounded delay, the threshold is at D[subscript max] = Θ (M log (min{k, M})), and for average bounded delay the threshold is at D[subscript avg] = Θ (√(M min{k, M})).
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spelling mit-1721.1/766642022-09-26T15:21:41Z Continuous time channels with interference Ivan, Ioana Elisabeta Mitzenmacher, Michael Thaler, Justin Yuen, Henry Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Ivan, Ioana Elisabeta Yuen, Henry Khanna and Sudan [2] studied a natural model of continuous time channels where signals are corrupted by the effects of both noise and delay, and showed that, surprisingly, in some cases both are not enough to prevent such channels from achieving unbounded capacity. Inspired by their work, we consider channels that model continuous time communication with adversarial delay errors. The sender is allowed to subdivide time into an arbitrarily large number M of micro-units in which binary symbols may be sent, but the symbols are subject to unpredictable delays and may interfere with each other. We model interference by having symbols that land in the same micro-unit of time be summed, and we study k-interference channels, which allow receivers to distinguish sums up to the value k. We consider both a channel adversary that has a limit on the maximum number of steps it can delay each symbol, and a more powerful adversary that only has a bound on the average delay. We give precise characterizations of the threshold between finite and infinite capacity depending on the interference behavior and on the type of channel adversary: for max-bounded delay, the threshold is at D[subscript max] = Θ (M log (min{k, M})), and for average bounded delay the threshold is at D[subscript avg] = Θ (√(M min{k, M})). Massachusetts Institute of Technology. Presidential Fellowship 2013-01-30T17:20:32Z 2013-01-30T17:20:32Z 2012-08 2012-07 Article http://purl.org/eprint/type/ConferencePaper 978-1-4673-2578-3 978-1-4673-2580-6 2157-8095 http://hdl.handle.net/1721.1/76664 Ivan, Ioana et al. “Continuous Time Channels with Interference.” Proceedings of the 2012 IEEE International Symposium on Information Theory Proceedings (ISIT) (2012): 860–864. https://orcid.org/0000-0002-2684-1129 en_US http://dx.doi.org/10.1109/ISIT.2012.6284683 Proceedings of the 2012 IEEE International Symposium on Information Theory Proceedings (ISIT) Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) arXiv
spellingShingle Ivan, Ioana Elisabeta
Mitzenmacher, Michael
Thaler, Justin
Yuen, Henry
Continuous time channels with interference
title Continuous time channels with interference
title_full Continuous time channels with interference
title_fullStr Continuous time channels with interference
title_full_unstemmed Continuous time channels with interference
title_short Continuous time channels with interference
title_sort continuous time channels with interference
url http://hdl.handle.net/1721.1/76664
https://orcid.org/0000-0002-2684-1129
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