Extended detection for MIMO systems with partial incremental redundancy based hybrid ARQ

Sangjoon Park, Younghoon Whang, Sooyong Choi

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

In this paper, an extended detection scheme is proposed for multiple-input multiple-output (MIMO) systems which employ partial incremental redundancy (IR) based hybrid automatic repeat request (HARQ). Based on the extended MIMO system model that interprets multiple retransmissions as a single transmission, the extended detection scheme estimates the entire transmitted symbols utilizing all information obtained up to the current retransmission. Compared with the conventional zero-forcing (ZF) detection scheme, the extended ZF detection scheme improves the post-processing signal-to-noise ratio (PSNR) of the newly transmitted symbols in every retransmission, as well as the repeatedly transmitted symbols. Simulation results verify that the extended detection scheme outperforms the conventional detection scheme. Simulation results also show that the extended minimum mean-square-error (MMSE) detection scheme can achieve a better error performance than the conventional maximum-likelihood (ML) detection scheme, and even the extended ZF detection scheme shows a comparable error performance to the conventional ML detection scheme.

Original languageEnglish
Article number6287524
Pages (from-to)3714-3722
Number of pages9
JournalIEEE Transactions on Wireless Communications
Volume11
Issue number10
DOIs
Publication statusPublished - 2012

Bibliographical note

Funding Information:
This work was supported in part by the National Research Foundation of Korea Grant funded by the Korean Government (MEST) (No. 2012-0003876).

Funding Information:
This research was also supported in part by the KCC(Korea Communications Commission), Korea, under the R&D program supervised by the KCA(Korea Communications Agency) (KCA-2012-(11-911-04-004)). Digital Object Identifier 10.1109/TWC.2012.081612.112299

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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