Gibbs sampling MIMO detection with maximum ratio combining

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

Abstract

In this paper, Gibbs sampling multi-input multi-output (MIMO) detection with maximum ratio combining (MRC) is proposed and it is applied to the uplink with a massive MIMO receiver. In conventional Gibbs sampling schemes, the Gibbs sampling algorithm is directly applied to received signals. When it is applied to signals with higher order modulation symbols, a stalling problem occurs. Though a random restart scheme is proposed to solve the stalling problem, it needs adaptive restart criteria that makes hard to estimate the total amount of computational complexity. In the proposed scheme, each candidate symbol is updated with a metric calculated by multiplying corresponding MRC coefficients to the received signal vector. In this case, the convergence speed of the metric for the received signals even with higher order modulation symbols improves and the complexity of metric calculation for the update of a transmit candidate symbol vector can be reduced. Numerical results obtained through computer simulation have shown that the proposed scheme reduces the number of multiplication operations by a factor of 1/6.7 when it is applied to signals modulated with QPSK. It is also shown that the proposed scheme improves the convergence speed of the metric for Eb/N0 ≥ 10dB when 16QAM symbols are transmitted. Furthermore, the proposed mixed Gibbs sampling achieves the same BER performance with smaller complexity as compared to that of a QR decomposition with M-algorithm (QRM)-maximum likelihood detection (MLD) when the number of transmit signals is more than 32.

Original languageEnglish
Title of host publication2017 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications
Subtitle of host publicationEngaged Citizens and their New Smart Worlds, PIMRC 2017 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
Volume2017-October
ISBN (Electronic)9781538635315
DOIs
Publication statusPublished - 2018 Feb 14
Event28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2017 - Montreal, Canada
Duration: 2017 Oct 82017 Oct 13

Other

Other28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2017
CountryCanada
CityMontreal
Period17/10/817/10/13

Fingerprint

Sampling
Modulation
Quadrature phase shift keying
Maximum likelihood
Computational complexity
Decomposition
Computer simulation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Sanada, Y. (2018). Gibbs sampling MIMO detection with maximum ratio combining. In 2017 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications: Engaged Citizens and their New Smart Worlds, PIMRC 2017 - Conference Proceedings (Vol. 2017-October, pp. 1-5). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PIMRC.2017.8292198

Gibbs sampling MIMO detection with maximum ratio combining. / Sanada, Yukitoshi.

2017 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications: Engaged Citizens and their New Smart Worlds, PIMRC 2017 - Conference Proceedings. Vol. 2017-October Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-5.

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

Sanada, Y 2018, Gibbs sampling MIMO detection with maximum ratio combining. in 2017 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications: Engaged Citizens and their New Smart Worlds, PIMRC 2017 - Conference Proceedings. vol. 2017-October, Institute of Electrical and Electronics Engineers Inc., pp. 1-5, 28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2017, Montreal, Canada, 17/10/8. https://doi.org/10.1109/PIMRC.2017.8292198
Sanada Y. Gibbs sampling MIMO detection with maximum ratio combining. In 2017 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications: Engaged Citizens and their New Smart Worlds, PIMRC 2017 - Conference Proceedings. Vol. 2017-October. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-5 https://doi.org/10.1109/PIMRC.2017.8292198
Sanada, Yukitoshi. / Gibbs sampling MIMO detection with maximum ratio combining. 2017 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications: Engaged Citizens and their New Smart Worlds, PIMRC 2017 - Conference Proceedings. Vol. 2017-October Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-5
@inproceedings{a74c1fd87fe841b287c536387586ab1e,
title = "Gibbs sampling MIMO detection with maximum ratio combining",
abstract = "In this paper, Gibbs sampling multi-input multi-output (MIMO) detection with maximum ratio combining (MRC) is proposed and it is applied to the uplink with a massive MIMO receiver. In conventional Gibbs sampling schemes, the Gibbs sampling algorithm is directly applied to received signals. When it is applied to signals with higher order modulation symbols, a stalling problem occurs. Though a random restart scheme is proposed to solve the stalling problem, it needs adaptive restart criteria that makes hard to estimate the total amount of computational complexity. In the proposed scheme, each candidate symbol is updated with a metric calculated by multiplying corresponding MRC coefficients to the received signal vector. In this case, the convergence speed of the metric for the received signals even with higher order modulation symbols improves and the complexity of metric calculation for the update of a transmit candidate symbol vector can be reduced. Numerical results obtained through computer simulation have shown that the proposed scheme reduces the number of multiplication operations by a factor of 1/6.7 when it is applied to signals modulated with QPSK. It is also shown that the proposed scheme improves the convergence speed of the metric for Eb/N0 ≥ 10dB when 16QAM symbols are transmitted. Furthermore, the proposed mixed Gibbs sampling achieves the same BER performance with smaller complexity as compared to that of a QR decomposition with M-algorithm (QRM)-maximum likelihood detection (MLD) when the number of transmit signals is more than 32.",
author = "Yukitoshi Sanada",
year = "2018",
month = "2",
day = "14",
doi = "10.1109/PIMRC.2017.8292198",
language = "English",
volume = "2017-October",
pages = "1--5",
booktitle = "2017 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Gibbs sampling MIMO detection with maximum ratio combining

AU - Sanada, Yukitoshi

PY - 2018/2/14

Y1 - 2018/2/14

N2 - In this paper, Gibbs sampling multi-input multi-output (MIMO) detection with maximum ratio combining (MRC) is proposed and it is applied to the uplink with a massive MIMO receiver. In conventional Gibbs sampling schemes, the Gibbs sampling algorithm is directly applied to received signals. When it is applied to signals with higher order modulation symbols, a stalling problem occurs. Though a random restart scheme is proposed to solve the stalling problem, it needs adaptive restart criteria that makes hard to estimate the total amount of computational complexity. In the proposed scheme, each candidate symbol is updated with a metric calculated by multiplying corresponding MRC coefficients to the received signal vector. In this case, the convergence speed of the metric for the received signals even with higher order modulation symbols improves and the complexity of metric calculation for the update of a transmit candidate symbol vector can be reduced. Numerical results obtained through computer simulation have shown that the proposed scheme reduces the number of multiplication operations by a factor of 1/6.7 when it is applied to signals modulated with QPSK. It is also shown that the proposed scheme improves the convergence speed of the metric for Eb/N0 ≥ 10dB when 16QAM symbols are transmitted. Furthermore, the proposed mixed Gibbs sampling achieves the same BER performance with smaller complexity as compared to that of a QR decomposition with M-algorithm (QRM)-maximum likelihood detection (MLD) when the number of transmit signals is more than 32.

AB - In this paper, Gibbs sampling multi-input multi-output (MIMO) detection with maximum ratio combining (MRC) is proposed and it is applied to the uplink with a massive MIMO receiver. In conventional Gibbs sampling schemes, the Gibbs sampling algorithm is directly applied to received signals. When it is applied to signals with higher order modulation symbols, a stalling problem occurs. Though a random restart scheme is proposed to solve the stalling problem, it needs adaptive restart criteria that makes hard to estimate the total amount of computational complexity. In the proposed scheme, each candidate symbol is updated with a metric calculated by multiplying corresponding MRC coefficients to the received signal vector. In this case, the convergence speed of the metric for the received signals even with higher order modulation symbols improves and the complexity of metric calculation for the update of a transmit candidate symbol vector can be reduced. Numerical results obtained through computer simulation have shown that the proposed scheme reduces the number of multiplication operations by a factor of 1/6.7 when it is applied to signals modulated with QPSK. It is also shown that the proposed scheme improves the convergence speed of the metric for Eb/N0 ≥ 10dB when 16QAM symbols are transmitted. Furthermore, the proposed mixed Gibbs sampling achieves the same BER performance with smaller complexity as compared to that of a QR decomposition with M-algorithm (QRM)-maximum likelihood detection (MLD) when the number of transmit signals is more than 32.

UR - http://www.scopus.com/inward/record.url?scp=85045277170&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85045277170&partnerID=8YFLogxK

U2 - 10.1109/PIMRC.2017.8292198

DO - 10.1109/PIMRC.2017.8292198

M3 - Conference contribution

VL - 2017-October

SP - 1

EP - 5

BT - 2017 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications

PB - Institute of Electrical and Electronics Engineers Inc.

ER -