Joint source and relay optimization for parallel MIMO relays using MMSE-DFE receiver

Apriana Toding*, Muhammad R. A. Khandaker, Yue Rong

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)


In this paper, we study the optimal structure of the source precoding matrix and the relay amplifying matrices for multiple-input multiple-output (MIMO) relay communication systems with parallel relay nodes. In particular, a nonlinear decision feedback equalizer (DFE) is used at the destination node, and the minimal mean-squared error (MMSE) criterion is used to detect the transmitted signal at each stream. We show that the optimal source precoding matrix and the optimal relay amplifying matrices have a beamforming structure. Using such optimal source and relay matrices and the MMSE-DFE receiver, a joint source and relay power loading algorithm is developed to minimize the MSE of the signal waveform estimation. Compared with existing algorithms for parallel MIMO relay networks, the proposed source and relay design together with the MMSE-DFE receiver has a significant improvement in the system bit-error-rate performance.

Original languageEnglish
Title of host publication2010 16th Asia-Pacific Conference on Communications (APCC)
Number of pages5
ISBN (Electronic)9781424481279
ISBN (Print)9781424481286
Publication statusPublished - 6 Jan 2011
Event16th Asia-Pacific Conference on Communications 2010 - Auckland, New Zealand
Duration: 31 Oct 20103 Nov 2010


Conference16th Asia-Pacific Conference on Communications 2010
Abbreviated titleAPCC 2010
Country/TerritoryNew Zealand


  • Decision feedback equalizer (DFE)
  • Minimum mean-squared error (MMSE)
  • Multiple-input multiple-output (MIMO)
  • Parallel relay
  • Relay networks

ASJC Scopus subject areas

  • Computer Networks and Communications


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