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

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 language	English
Title of host publication	15th International Conference on Advanced Communication Technology
Subtitle of host publication	Smart Services with Internet of Things!, ICACT 2013 - Proceeding
Pages	558-562
Number of pages	5
Publication status	Published - 2013
Externally published	Yes
Event	15th 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

Other

Other	15th International Conference on Advanced Communication Technology: Smart Services with Internet of Things!, ICACT 2013
Country	Korea, Republic of
City	PyeongChang
Period	1/27/13 → 1/30/13

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ASJC Scopus subject areas

Electrical and Electronic Engineering

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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]

Introduction of dual regularization parameters to improve the performance of MMSE based vector perturbation. / Hou, Yafei; Sonobe, Satoshi; Tsukamoto, Satoshi; Yano, Kazuto; Uno, Masahiro; Kobayashi, Kiyoshi.

15th International Conference on Advanced Communication Technology: Smart Services with Internet of Things!, ICACT 2013 - Proceeding. 2013. p. 558-562 6488250.

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

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., 6488250, pp. 558-562, 15th International Conference on Advanced Communication Technology: Smart Services with Internet of Things!, ICACT 2013, PyeongChang, Korea, Republic of, 1/27/13.

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title = "Introduction of dual regularization parameters to improve the performance of MMSE based vector perturbation",

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.",

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year = "2013",

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AU - Hou, Yafei

AU - Sonobe, Satoshi

AU - Tsukamoto, Satoshi

AU - Yano, Kazuto

AU - Uno, Masahiro

AU - Kobayashi, Kiyoshi

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

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BT - 15th International Conference on Advanced Communication Technology

T2 - 15th International Conference on Advanced Communication Technology: Smart Services with Internet of Things!, ICACT 2013

Y2 - 27 January 2013 through 30 January 2013

ER -

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

Abstract

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