A MMSE vector precoding with block diagonalization for multiuser MIMO downlink

Jungyong Park, Byungju Lee, Byonghyo Shim

Research output: Contribution to journalArticlepeer-review

44 Citations (Scopus)


Block diagonalization (BD) algorithm is a generalization of the channel inversion that converts multiuser multiinput multi-output (MIMO) broadcast channel into single-user MIMO channel without inter-user interference. In this paper, we combine the BD technique with a minimum mean square error vector precoding (MMSE-VP) for achieving further gain in performance with minimal computational overhead. Two key ingredients to make our approach effective are the QR decomposition based block diagonalization and joint optimization of transmitter and receiver parameters in the MMSE sense. In fact, by optimizing precoded signal vector and perturbation vector in the transmitter and receiver jointly, we pursue an optimal balance between the residual interference mitigation and the noise enhancement suppression. From the sum rate analysis as well as the bit error rate simulations (both uncoded and coded cases) in realistic multiuser MIMO downlink, we show that the proposed BD-MVP brings substantial performance gain over existing multiuser MIMO algorithms.

Original languageEnglish
Article number6118256
Pages (from-to)569-577
Number of pages9
JournalIEEE Transactions on Communications
Issue number2
Publication statusPublished - 2012 Feb

Bibliographical note

Funding Information:
This work is supported by the Basic Science Research Program through the National Research Foundation (NRF) funded by the Ministry of Education, Science and Technology (MEST) (No. 2011-0012525) and the second Brain Korea 21 project.


  • Block diagonalization
  • Cholesky factorization
  • MMSE vector precoding
  • Multiuser MIMO
  • QR decomposition

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


Dive into the research topics of 'A MMSE vector precoding with block diagonalization for multiuser MIMO downlink'. Together they form a unique fingerprint.

Cite this