Partitioned vector quantization for MU-MIMO downlink broadcasting

Mirza Golam Kibria, Hidekazu Murata, Susumu Yoshida, Koji Yamamoto, Daisuke Umehara, Satoshi Denno, Masahiro Morikura

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

4 Citations (Scopus)


A practical and efficient vector quantization called partitioned vector quantization (P-VQ) based non-linear precoder for MIMO downlink broadcasting channels has been analyzed in this paper. P- VQ has been found to be an efficient way of reducing the memory requirements and search complexity in conventional VQ systems, especially for large MIMO. Simulation results reveal that P-VQ technique can enhance the overall quantization performance in terms of achieved capacity, bit error rate (BER) at a cost of reasonable additional complexity under certain feedback budgets. Tomlinson-Harashima precoding (THP), a power and complexity efficient precoding technique along with data dependent vector perturbation (VP) has been employed to meet the power constraint requirements of our system. Least-square (LS) channel estimation is performed at the user terminals to acquire their channel state information (CSI).

Original languageEnglish
Title of host publication2012 IEEE Vehicular Technology Conference, VTC Fall 2012 - Proceedings
Publication statusPublished - Dec 1 2012
Event76th IEEE Vehicular Technology Conference, VTC Fall 2012 - Quebec City, QC, Canada
Duration: Sept 3 2012Sept 6 2012

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252


Other76th IEEE Vehicular Technology Conference, VTC Fall 2012
CityQuebec City, QC

ASJC Scopus subject areas

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


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