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)

Abstract

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 publicationIEEE Vehicular Technology Conference
DOIs
Publication statusPublished - 2012
Event76th IEEE Vehicular Technology Conference, VTC Fall 2012 - Quebec City, QC, Canada
Duration: Sep 3 2012Sep 6 2012

Other

Other76th IEEE Vehicular Technology Conference, VTC Fall 2012
CountryCanada
CityQuebec City, QC
Period9/3/129/6/12

Fingerprint

Vector Quantization
Vector quantization
Broadcasting
MIMO systems
Multiple-input multiple-output (MIMO)
Precoding
Least Squares Estimation
Dependent Data
Channel Estimation
Requirements
Channel state information
Channel State Information
Channel estimation
Bit error rate
Error Rate
Quantization
Perturbation
Feedback
Data storage equipment
Costs

ASJC Scopus subject areas

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

Cite this

Kibria, M. G., Murata, H., Yoshida, S., Yamamoto, K., Umehara, D., Denno, S., & Morikura, M. (2012). Partitioned vector quantization for MU-MIMO downlink broadcasting. In IEEE Vehicular Technology Conference [6399280] https://doi.org/10.1109/VTCFall.2012.6399280

Partitioned vector quantization for MU-MIMO downlink broadcasting. / Kibria, Mirza Golam; Murata, Hidekazu; Yoshida, Susumu; Yamamoto, Koji; Umehara, Daisuke; Denno, Satoshi; Morikura, Masahiro.

IEEE Vehicular Technology Conference. 2012. 6399280.

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

Kibria, MG, Murata, H, Yoshida, S, Yamamoto, K, Umehara, D, Denno, S & Morikura, M 2012, Partitioned vector quantization for MU-MIMO downlink broadcasting. in IEEE Vehicular Technology Conference., 6399280, 76th IEEE Vehicular Technology Conference, VTC Fall 2012, Quebec City, QC, Canada, 9/3/12. https://doi.org/10.1109/VTCFall.2012.6399280
Kibria MG, Murata H, Yoshida S, Yamamoto K, Umehara D, Denno S et al. Partitioned vector quantization for MU-MIMO downlink broadcasting. In IEEE Vehicular Technology Conference. 2012. 6399280 https://doi.org/10.1109/VTCFall.2012.6399280
Kibria, Mirza Golam ; Murata, Hidekazu ; Yoshida, Susumu ; Yamamoto, Koji ; Umehara, Daisuke ; Denno, Satoshi ; Morikura, Masahiro. / Partitioned vector quantization for MU-MIMO downlink broadcasting. IEEE Vehicular Technology Conference. 2012.
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