An Information Inequality and Evaluation of Marton's Inner Bound for Binary Input Broadcast Channels
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AbstractWe establish an information inequality concerning five random variables. This inequality is motivated by the sum-rate evaluation of Marton's inner bound for two receiver broadcast channels with a binary input alphabet. We establish that randomized time-division strategy achieves the sum rate of Marton's inner bound for all binary input broadcast channels. We also obtain an improved cardinality bound for evaluating the maximum sum rate given by Marton's inner bound for all broadcast channels. Using these tools we explicitly evaluate the inner and outer bounds for the binary skew-symmetric broadcast channel and demonstrate a gap between the bounds.
All Author(s) ListGeng YL, Jog V, Nair C, Wang ZV
Journal nameIEEE Transactions on Information Theory
Detailed descriptionTo ORKTS: The paper contains work done in 2010-2011 time frame.
Year2013
Month7
Day1
Volume Number59
Issue Number7
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Pages4095 - 4105
ISSN0018-9448
eISSN1557-9654
LanguagesEnglish-United Kingdom
KeywordsBinary input alphabet; information inequality; Marton's inner bound
Web of Science Subject CategoriesComputer Science; Computer Science, Information Systems; COMPUTER SCIENCE, INFORMATION SYSTEMS; Engineering; Engineering, Electrical & Electronic; ENGINEERING, ELECTRICAL & ELECTRONIC

Last updated on 2020-14-11 at 01:55