Joint source and relay optimization for parallel MIMO relay networks

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

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

25 Citations (Scopus)
22 Downloads (Pure)


In this article, 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. Two types of receivers are considered at the destination node: (1) The linear minimal mean-squared error (MMSE) receiver; (2) The nonlinear decision feedback equalizer based on the minimal MSE criterion. We show that for both receiver schemes, the optimal source precoding matrix and the optimal relay amplifying matrices have a beamforming structure. Using such optimal structure, joint source and relay power loading algorithms are developed to minimize the MSE of the signal waveform estimation at the destination. Compared with existing algorithms for parallel MIMO relay networks, the proposed joint source and relay beamforming algorithms have significant improvement in the system bit-error-rate performance.

Original languageEnglish
Article number174
JournalEURASIP Journal on Advances in Signal Processing
Publication statusPublished - 16 Aug 2012


  • Beamforming
  • DFE
  • MIMO relay
  • Non-regenerative relay
  • Parallel relay network

ASJC Scopus subject areas

  • Signal Processing
  • Hardware and Architecture
  • Electrical and Electronic Engineering


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