Exact Random Coding Exponents and Universal Decoders for the Asymmetric Broadcast Channel

Ran Averbuch, Neri Merhav

Research output: Contribution to journalArticlepeer-review

Abstract

This paper contains two main contributions concerning the asymmetric broadcast channel. The first is an analysis of the exact random coding error exponents for both users, and the second is the derivation of universal decoders for both users. These universal decoders are certain variants of the maximum mutual information universal decoder, and they achieve the corresponding random coding exponents of optimal decoding. In addition, we introduce some lower bounds, which involve optimizations over very few parameters, unlike the original, exact exponents, which involve minimizations over auxiliary probability distributions. Numerical results for the binary symmetric broadcast channel show improvements over previously derived error exponents for the same model.

Original languageEnglish
Pages (from-to)5070-5086
Number of pages17
JournalIEEE Transactions on Information Theory
Volume64
Issue number7
DOIs
StatePublished - Jul 2018

Keywords

  • Error exponent
  • MMI
  • asymmetric broadcast channel
  • universal decoding

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences

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