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Can Negligible Cooperation Increase Capacity? The Average-Error Case

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.

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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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URLURL TypeDescription
Noorzad, Parham0000-0002-0201-3791
Langberg, Michael0000-0002-7470-0718
Additional Information:© 2018 IEEE. This material is based upon work supported by the National Science Foundation under Grant Numbers 1527524 and 1526771.
Funding AgencyGrant Number
Subject Keywords:Continuity, cooperation facilitator, edge removal problem, maximal-error capacity region, multiple access channel
Record Number:CaltechAUTHORS:20181126-145651855
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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
Deposited By: Tony Diaz
Deposited On:26 Nov 2018 23:01
Last Modified:16 Nov 2021 03:39

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