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Evaluation of reduced search iterative MIMO detection schemes

  • Jeonbuk National University

Research output: Contribution to conferenceConference paperpeer-review

Abstract

This paper presents a complexity reduction method for iterative MIMO detection scheme. We first investigate the statistical characteristics of the log-likelihood ratios (LLRs) across the MIMO detector and decoder, and set a threshold value for the reduced search MIMO detector. Based on this threshold value, the decision is made whether re-estimation of MIMO detection using the soft information provided by the decoder is necessary. This is to eliminate unnecessary repetitive calculation for symbols with high reliability. As iteration goes by, complexity is largely reduced. We compare the performance of the proposed scheme by using maximum likelihood (ML) or maximum a posteriori (MAP). Simulation results show that the proposed complexity reduction method reduces the complexity by about 30% with negligible bit error rate (BER) performance degradation.

Original languageEnglish
Title of host publication2013 International Conference on ICT Convergence
Subtitle of host publication"Future Creative Convergence Technologies for New ICT Ecosystems", ICTC 2013
PublisherIEEE Computer Society
Pages112-116
Number of pages5
ISBN (Print)9781479906987
DOIs
StatePublished - 2013
Event2013 International Conference on Information and Communication Technology Convergence, ICTC 2013 - Jeju Island, Korea, Republic of
Duration: 2013.10.142013.10.16

Publication series

NameInternational Conference on ICT Convergence
ISSN (Print)2162-1233
ISSN (Electronic)2162-1241

Conference

Conference2013 International Conference on Information and Communication Technology Convergence, ICTC 2013
Country/TerritoryKorea, Republic of
CityJeju Island
Period13.10.1413.10.16

Quacquarelli Symonds(QS) Subject Topics

  • Computer Science & Information Systems

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