Introduction of dual regularization parameters to improve the performance of MMSE based vector perturbation

Yafei Hou, Satoshi Sonobe, Satoshi Tsukamoto, Kazuto Yano, Masahiro Uno, Kiyoshi Kobayashi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper proposes a method to improve the performance of minimum-mean square error (MMSE) based vector perturbation (MMSE-VP) by introducing dual regularization parameters of MMSE precoding matrix. First regularization parameter a1 is set so as to maximize the signal to interference plus noise ratio (SINR) value of each stream to find the optimal perturbation vector. The second regularization parameter α2 is set as to minimize the total MSE between the transmitted perturbation vector and received perturbation vector to precancel the interference among the streams. The simulated results confirm that the proposed method can improve the performance of MMSE-VP over i.i.d. MIMO channel and indoor correlated frequency-selective fading MIMO channel.

Original languageEnglish
Title of host publication15th International Conference on Advanced Communication Technology
Subtitle of host publicationSmart Services with Internet of Things!, ICACT 2013 - Proceeding
Pages558-562
Number of pages5
Publication statusPublished - Apr 22 2013
Externally publishedYes
Event15th International Conference on Advanced Communication Technology: Smart Services with Internet of Things!, ICACT 2013 - PyeongChang, Korea, Republic of
Duration: Jan 27 2013 → Jan 30 2013

Publication series

NameInternational Conference on Advanced Communication Technology, ICACT
ISSN (Print)1738-9445

Other

Other15th International Conference on Advanced Communication Technology: Smart Services with Internet of Things!, ICACT 2013
CountryKorea, Republic of
CityPyeongChang
Period1/27/13 → 1/30/13

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Access to Document

Fingerprint Dive into the research topics of 'Introduction of dual regularization parameters to improve the performance of MMSE based vector perturbation'. Together they form a unique fingerprint.

    • Cite this

    Hou, Y., Sonobe, S., Tsukamoto, S., Yano, K., Uno, M., & Kobayashi, K. (2013). Introduction of dual regularization parameters to improve the performance of MMSE based vector perturbation. In 15th International Conference on Advanced Communication Technology: Smart Services with Internet of Things!, ICACT 2013 - Proceeding (pp. 558-562). [6488250] (International Conference on Advanced Communication Technology, ICACT).