BER analysis for MIMO BICM-ID assuming finite precision of extrinsic LLR

Chien Yi Wang*, I. Wei Lai, Tzi Dar Chiueh, Gerd Ascheid, Heinrich Meyr

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we analyze the error rate degradation caused by the finite-precision extrinsic log-likelihood ratio (LLR), i.e., demapper output, for multiple-input multiple-output (MIMO) bit-interleaved coded modulation with iterative decoding (BICM-ID). A closed-form expression for the probability density function (pdf) of the metric difference with finite precision is derived. This pdf is well-approximated by two approaches, namely the pseudo quantization noise (PQN) model and the pdf tail truncation. Moreover, we interpret such performance degradation as an additional signal-to-noise ratio (SNR) loss. As validated by Monte Carlo simulations, this SNR loss can be directly applied at the first iteration, extending our analysis to non-iterative scenario. This work provides a convenient indicator for deciding the LLR precision in real implementations.

Original languageEnglish
Title of host publicationISITA/ISSSTA 2010 - 2010 International Symposium on Information Theory and Its Applications
Pages129-134
Number of pages6
DOIs
Publication statusPublished - 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: 2010 Oct 172010 Oct 20

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
Period2010/10/172010/10/20

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Information Systems

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