Low complexity soft sphere decoding via optimal radius control

Jaeseok Lee, Byonghyo Shim

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

Abstract

In this paper, we present a low-complexity list sphere search algorithm for achieving near-optimal a posteriori (APP) detection in iterative detection and decoding (IDD). Motivated by the fact that the list sphere decoding searching fixed number of lattice points is inefficient in many scenarios, we design a criterion to search lattice points with non-vanishing likelihood and derive the optimal sphere radius satisfying this requirement. Through simulations on realistic IDD systems, we show that the proposed method provides considerable complexity savings while maintaining near-optimal performance.

Original languageEnglish
Title of host publication2010 IEEE 21st International Symposium on Personal Indoor and Mobile Radio Communications, PIMRC 2010
Pages414-418
Number of pages5
DOIs
Publication statusPublished - 2010
Event2010 IEEE 21st International Symposium on Personal Indoor and Mobile Radio Communications, PIMRC 2010 - Istanbul, Turkey
Duration: 2010 Sep 262010 Sep 30

Publication series

NameIEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC

Other

Other2010 IEEE 21st International Symposium on Personal Indoor and Mobile Radio Communications, PIMRC 2010
CountryTurkey
CityIstanbul
Period10/9/2610/9/30

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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  • Cite this

    Lee, J., & Shim, B. (2010). Low complexity soft sphere decoding via optimal radius control. In 2010 IEEE 21st International Symposium on Personal Indoor and Mobile Radio Communications, PIMRC 2010 (pp. 414-418). [5671878] (IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC). https://doi.org/10.1109/PIMRC.2010.5671878