Efficient channel-adaptive MIMO detection using just-acceptable error rate

I. Wei Lai, Gerd Ascheid, Heinrich Meyr, Tzi Dar Chiueh

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

This paper proposes a new concept of multiple-input multiple-output (MIMO) detection, aiming at minimizing the average computational cost. The detection methods are adapted according to the estimated channel state information to deliver just-acceptable error rate (JAER) performance. Error rate models for two popular MIMO detection algorithms are derived given the channel matrix. From these models, a channel-adaptive-MIMO (CA-MIMO) receiver with detector-switching strategies is proposed. Simulation results demonstrate that the proposed CA-MIMO detector meets the JAER criterion efficiently. Compared with the sophisticated Sphere Search (SS) MIMO detector, the average saving at moderate signal-to-noise ratio (SNR) is around 58% to 72%, depending on different modulation alphabets. At high SNR, the CA-MIMO detector almost always switch to Zero-Forcing (ZF) detection, where the complexity is several orders lower than the SS detector.

Original languageEnglish
Article number5608473
Pages (from-to)73-83
Number of pages11
JournalIEEE Transactions on Wireless Communications
Volume10
Issue number1
DOIs
Publication statusPublished - 2011 Jan 1

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Keywords

  • error probability
  • just-acceptable error rate (JAER)
  • maximum likelihood
  • MIMO detection
  • OFDM
  • sphere search
  • zero-forcing

ASJC Scopus subject areas

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

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