Channel-adaptive coding for coarsely quantized MIMO systems

Thomas Lang, Amine Mezghani, Josef A. Nossek

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

We present iterative algorithms which efficiently compute an optimized subset of equiprobable input symbols that achieves near-capacity on a large asymmetric discrete memoryless channel (DMC). The optimized subset defines a delay-free channel-adapted inner code which can be combined with a standard code. The introduction of a dense data structure renders it possible to apply channel-adaptive coding to 2-bit quantized MIMO systems, which exhibit a very large output set. The coding approach is shown to be robust to imperfect channel state information (CSI). Finally, we present a binary index switching algorithm that minimizes the BER by optimizing the mapping from code bits to input symbols.

Original languageEnglish
Title of host publication2010 International ITG Workshop on Smart Antennas, WSA 2010
Pages20-27
Number of pages8
DOIs
StatePublished - 2010
Event2010 International ITG Workshop on Smart Antennas, WSA 2010 - Bremen, Germany
Duration: 23 Feb 201024 Feb 2010

Publication series

Name2010 International ITG Workshop on Smart Antennas, WSA 2010

Conference

Conference2010 International ITG Workshop on Smart Antennas, WSA 2010
Country/TerritoryGermany
CityBremen
Period23/02/1024/02/10

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