Lattice-Reduction-Aided Partial Marginalization for Soft Output MIMO Detector with Fixed and Reduced Complexity

Hyunsub Kim, Minjoon Kim, Hyukyeon Lee, Jaeseok Kim

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

In this letter, we propose lattice-reduction (LR)-aided partial marginalization (PM) for soft output multiple-input multiple-output (MIMO) detection. PM has the advantages of a fully predictable runtime and convenience in parallelization while offering a well-defined tradeoff between the performance and the computational complexity. However, the computational complexity of PM to achieve a high level of performance is considerably high. In order to reduce the complexity of PM, the proposed scheme performs low-complexity LR-aided marginalization instead of exact marginalization (EM) to avoid the exhaustive approach of the EM, which mainly increases the overall complexity. The experimental results demonstrate that the computational complexity of the proposed scheme is considerably lower with negligible performance degradation compared to conventional PM.

Original languageEnglish
Article number7435243
Pages (from-to)1297-1300
Number of pages4
JournalIEEE Communications Letters
Volume20
Issue number7
DOIs
Publication statusPublished - 2016 Jul

Bibliographical note

Funding Information:
This work was supported in part by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (no. NRF-2015R1A2A2A01004883), and in part by the System LSI Division on Samsung Electronics Co., LTD.

Publisher Copyright:
© 2016 IEEE.

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

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