Introducing dual regularization parameters into regularized channel inversion (RCI)-based vector perturbation for modulo loss reduction

Yafei Hou; Satoshi Tsukamoto; Kazuto Yano; Masahiro Uno; Kiyoshi Kobayashi

doi:10.1109/ICACT.2014.6779194

Introducing dual regularization parameters into regularized channel inversion (RCI)-based vector perturbation for modulo loss reduction

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

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

1 Citation (Scopus)

Abstract

This paper proposes a method to reduce the symbol error caused by modulo operator for regularized channel inversion (RCI)-based vector perturbation (RCI-VP). The proposed method introduces dual regularization parameters of RCI precoding matrix. First regularization parameter α₁ 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 so as to minimize the total MSE between the transmitted perturbation vector and received perturbation vector to reduce the symbol error caused by modulo operator. The simulated results confirm that the proposed method can improve the performance of RCI-VP over i.i.d. MIMO channel and frequency-selective fading MIMO channel.

Original language	English
Title of host publication	16th International Conference on Advanced Communication Technology
Subtitle of host publication	Content Centric Network Innovation!, ICACT 2014 - Proceeding
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	361-368
Number of pages	8
ISBN (Print)	9788996865032
DOIs	https://doi.org/10.1109/ICACT.2014.6779194
Publication status	Published - 2014
Event	16th International Conference on Advanced Communication Technology: Content Centric Network Innovation!, ICACT 2014 - PyeongChang, Korea, Republic of Duration: Feb 16 2014 → Feb 19 2014

Publication series

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

Other

Other	16th International Conference on Advanced Communication Technology: Content Centric Network Innovation!, ICACT 2014
Country	Korea, Republic of
City	PyeongChang
Period	2/16/14 → 2/19/14

Keywords

Minimum mean square error
Modulo loss
Regularization parameter
SINR maximization
Vector perturbation

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/ICACT.2014.6779194

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Cite this

Hou, Y., Tsukamoto, S., Yano, K., Uno, M., & Kobayashi, K. (2014). Introducing dual regularization parameters into regularized channel inversion (RCI)-based vector perturbation for modulo loss reduction. In 16th International Conference on Advanced Communication Technology: Content Centric Network Innovation!, ICACT 2014 - Proceeding (pp. 361-368). [6779194] (International Conference on Advanced Communication Technology, ICACT). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICACT.2014.6779194

Introducing dual regularization parameters into regularized channel inversion (RCI)-based vector perturbation for modulo loss reduction. / Hou, Yafei; Tsukamoto, Satoshi; Yano, Kazuto; Uno, Masahiro; Kobayashi, Kiyoshi.

16th International Conference on Advanced Communication Technology: Content Centric Network Innovation!, ICACT 2014 - Proceeding. Institute of Electrical and Electronics Engineers Inc., 2014. p. 361-368 6779194 (International Conference on Advanced Communication Technology, ICACT).

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

Hou, Y, Tsukamoto, S, Yano, K, Uno, M & Kobayashi, K 2014, Introducing dual regularization parameters into regularized channel inversion (RCI)-based vector perturbation for modulo loss reduction. in 16th International Conference on Advanced Communication Technology: Content Centric Network Innovation!, ICACT 2014 - Proceeding., 6779194, International Conference on Advanced Communication Technology, ICACT, Institute of Electrical and Electronics Engineers Inc., pp. 361-368, 16th International Conference on Advanced Communication Technology: Content Centric Network Innovation!, ICACT 2014, PyeongChang, Korea, Republic of, 2/16/14. https://doi.org/10.1109/ICACT.2014.6779194

Hou Y, Tsukamoto S, Yano K, Uno M, Kobayashi K. Introducing dual regularization parameters into regularized channel inversion (RCI)-based vector perturbation for modulo loss reduction. In 16th International Conference on Advanced Communication Technology: Content Centric Network Innovation!, ICACT 2014 - Proceeding. Institute of Electrical and Electronics Engineers Inc. 2014. p. 361-368. 6779194. (International Conference on Advanced Communication Technology, ICACT). https://doi.org/10.1109/ICACT.2014.6779194

Hou, Yafei ; Tsukamoto, Satoshi ; Yano, Kazuto ; Uno, Masahiro ; Kobayashi, Kiyoshi. / Introducing dual regularization parameters into regularized channel inversion (RCI)-based vector perturbation for modulo loss reduction. 16th International Conference on Advanced Communication Technology: Content Centric Network Innovation!, ICACT 2014 - Proceeding. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 361-368 (International Conference on Advanced Communication Technology, ICACT).

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abstract = "This paper proposes a method to reduce the symbol error caused by modulo operator for regularized channel inversion (RCI)-based vector perturbation (RCI-VP). The proposed method introduces dual regularization parameters of RCI precoding matrix. First regularization parameter α1 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 so as to minimize the total MSE between the transmitted perturbation vector and received perturbation vector to reduce the symbol error caused by modulo operator. The simulated results confirm that the proposed method can improve the performance of RCI-VP over i.i.d. MIMO channel and frequency-selective fading MIMO channel.",

keywords = "Minimum mean square error, Modulo loss, Regularization parameter, SINR maximization, Vector perturbation",

author = "Yafei Hou and Satoshi Tsukamoto and Kazuto Yano and Masahiro Uno and Kiyoshi Kobayashi",

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