Informed message update for iterative MIMO demapping and turbo decoding

Dan Zhang*, I. Wei Lai, Konstantinos Nikitopoulos, Gerd Ascheid

*Corresponding author for this work

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

2 Scopus citations

Abstract

In this paper, the iterative scheduling issue for multiple-input multiple-output (MIMO) systems with turbo codes is addressed based on the informed asynchronous scheduling, initially used for scheduling low-density parity-check (LDPC) decoding. For the iterative MIMO demapping and turbo decoding, the convergence behavior by using the informed asynchronous scheduling is first demonstrated to be similar to the standard sequential scheduling. As the extrinsic log-likelihood ratio (LLR) calculation at both the MIMO demapper and turbo decoder costs high complexity, an informed message update (IMU) rule is further proposed to select only a subset of extrinsic LLRs for updates within each iteration. By avoiding the re-calculations for the extrinsic LLRs with small changes between successive iterations, significant complexity savings are achieved with negligible error rate performance loss.

Original languageEnglish
Title of host publicationISITA/ISSSTA 2010 - 2010 International Symposium on Information Theory and Its Applications
Pages873-878
Number of pages6
DOIs
StatePublished - 2010
Externally publishedYes
Event2010 20th International Symposium on Information Theory and Its Applications, ISITA 2010 and the 2010 20th International Symposium on Spread Spectrum Techniques and Applications, ISSSTA 2010 - Taichung, Taiwan
Duration: 17 10 201020 10 2010

Publication series

NameISITA/ISSSTA 2010 - 2010 International Symposium on Information Theory and Its Applications

Conference

Conference2010 20th International Symposium on Information Theory and Its Applications, ISITA 2010 and the 2010 20th International Symposium on Spread Spectrum Techniques and Applications, ISSSTA 2010
Country/TerritoryTaiwan
CityTaichung
Period17/10/1020/10/10

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