Noorzad, Parham and Effros, Michelle and Langberg, Michael (2018) Can Negligible Cooperation Increase Capacity? The Average-Error Case. In: 2018 IEEE International Symposium on Information Theory (ISIT). IEEE , Piscataway, NJ, pp. 1256-1260. ISBN 978-1-5386-4780-6. https://resolver.caltech.edu/CaltechAUTHORS:20181126-145651855
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Abstract
In communication networks, cooperative strategies are coding schemes where network nodes work together to improve network performance metrics such as sum-rate. This work studies encoder cooperation in the setting of a discrete multiple access channel with two encoders and a single decoder. A node in the network that is connected to both encoders via rate-limited links, referred to as the cooperation facilitator (CF), enables the cooperation strategy. Previously, the authors presented a class of multiple access channels where the average-error sum-capacity has an infinite derivative in the limit where CF output link capacities approach zero. The authors also demonstrated that for some channels, the maximal-error sum-capacity is not continuous at the point where the output link capacities of the CF equal zero. This work shows that the average-error sum-capacity is continuous when CF output link capacities converge to zero; that is, the infinite derivative of the average-error sum-capacity is not a result of its discontinuity as in the maximal-error case.
Item Type: | Book Section | ||||||
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Additional Information: | © 2018 IEEE. This material is based upon work supported by the National Science Foundation under Grant Numbers 1527524 and 1526771. | ||||||
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Subject Keywords: | Continuity, cooperation facilitator, edge removal problem, maximal-error capacity region, multiple access channel | ||||||
DOI: | 10.1109/ISIT.2018.8437746 | ||||||
Record Number: | CaltechAUTHORS:20181126-145651855 | ||||||
Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20181126-145651855 | ||||||
Official Citation: | P. Noorzad, M. Effros and M. Langberg, "Can Negligible Cooperation Increase Capacity? The Average-Error Case," 2018 IEEE International Symposium on Information Theory (ISIT), Vail, CO, 2018, pp. 1256-1260. doi: 10.1109/ISIT.2018.8437746 | ||||||
Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||
ID Code: | 91191 | ||||||
Collection: | CaltechAUTHORS | ||||||
Deposited By: | Tony Diaz | ||||||
Deposited On: | 26 Nov 2018 23:01 | ||||||
Last Modified: | 16 Nov 2021 03:39 |
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