An SVD-aided list demapper for iterative coded-MIMO receivers

Tung Jung Hsieh, Wern Ho Sheen, Sin Horng Chen, Jen Yuan Hsu

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

Abstract

The list demapper has been widely implemented in a coded multiple-input multiple-output (MIMO) receiver, where only a part of total signal vectors are examined in the calculation of likelihood ratio for low complexity. Generally, the list is generated either in the original or the lattice-reduced domain. In the latter, thanks to the operation of lattice reduction (LR), a better-conditioned MIMO channel is obtained, and the adverse effect of noise enhancement is mitigated in the generation of list and thus can achieve a better performance. In this paper, a new singular-value-decomposition (SVD)-aided list demapper is proposed for the iterative coded-MIMO receiver. With SVD, the layer interference incurred in the operation of LR can be avoided, and that renders the SVD-aided list demapper a lower complexity. Computer simulations have confirmed that the proposed demapper has better performance-complexity tradeoffs as compared to the best-performed LR-aided methods in the literature.

Original languageEnglish
Title of host publication2014 IEEE/CIC International Conference on Communications in China, ICCC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages80-85
Number of pages6
ISBN (Electronic)9781479941469
DOIs
StatePublished - 12 Jan 2015
Event2014 IEEE/CIC International Conference on Communications in China, ICCC 2014 - Shanghai, China
Duration: 13 Oct 201415 Oct 2014

Publication series

Name2014 IEEE/CIC International Conference on Communications in China, ICCC 2014

Conference

Conference2014 IEEE/CIC International Conference on Communications in China, ICCC 2014
CountryChina
CityShanghai
Period13/10/1415/10/14

Keywords

  • Coded MIMO
  • Iterative receiver
  • SVD-aided list demapper

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