MIMO detection with block parallel gibbs sampling and maximum ratio combining

Kosuke Tomura; Yukitoshi Sanada; Yutaro Kobayashi

doi:10.1109/TENCON50793.2020.9293711

MIMO detection with block parallel gibbs sampling and maximum ratio combining

Kosuke Tomura, Yukitoshi Sanada, Yutaro Kobayashi

Department of Electronics and Electrical Engineering

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

3 Citations (Scopus)

Abstract

In this paper, block parallel Gibbs sampling (BPGS) multiple-input multiple-output (MIMO) detection is proposed. In a conventional Gibbs sampling scheme, MIMO detection is carried out sequentially symbol-by-symbol. The proposed scheme divides a symbol vector to blocks and updates candidate transmit symbols in parallel in a block so that the total number of iterations in a unit period increases. Furthermore, maximum ratio combining (MRC) is adopted to BPGS to improve accuracy in this paper. Numerical results obtained through computer simulations show that bit error rate performance under high bit-energy-to-noise-spectrum-density conditions improves with the proposed scheme. It is also shown that the block size of three achieves the best performance when number of antennas is 16×16 and the number of iterations is 50.

Original language	English
Title of host publication	2020 IEEE Region 10 Conference, TENCON 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	496-500
Number of pages	5
ISBN (Electronic)	9781728184555
DOIs	https://doi.org/10.1109/TENCON50793.2020.9293711
Publication status	Published - 2020 Nov 16
Event	2020 IEEE Region 10 Conference, TENCON 2020 - Virtual, Osaka, Japan Duration: 2020 Nov 16 → 2020 Nov 19

Publication series

Name	IEEE Region 10 Annual International Conference, Proceedings/TENCON
Volume	2020-November
ISSN (Print)	2159-3442
ISSN (Electronic)	2159-3450

Conference

Conference	2020 IEEE Region 10 Conference, TENCON 2020
Country/Territory	Japan
City	Virtual, Osaka
Period	20/11/16 → 20/11/19

Keywords

Gibbs sampling
MIMO detection
Maximum ratio combining

ASJC Scopus subject areas

Computer Science Applications
Electrical and Electronic Engineering

Access to Document

10.1109/TENCON50793.2020.9293711

Cite this

Tomura, K., Sanada, Y., & Kobayashi, Y. (2020). MIMO detection with block parallel gibbs sampling and maximum ratio combining. In 2020 IEEE Region 10 Conference, TENCON 2020 (pp. 496-500). [9293711] (IEEE Region 10 Annual International Conference, Proceedings/TENCON; Vol. 2020-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TENCON50793.2020.9293711

MIMO detection with block parallel gibbs sampling and maximum ratio combining. / Tomura, Kosuke; Sanada, Yukitoshi; Kobayashi, Yutaro.

2020 IEEE Region 10 Conference, TENCON 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 496-500 9293711 (IEEE Region 10 Annual International Conference, Proceedings/TENCON; Vol. 2020-November).

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

Tomura, K, Sanada, Y & Kobayashi, Y 2020, MIMO detection with block parallel gibbs sampling and maximum ratio combining. in 2020 IEEE Region 10 Conference, TENCON 2020., 9293711, IEEE Region 10 Annual International Conference, Proceedings/TENCON, vol. 2020-November, Institute of Electrical and Electronics Engineers Inc., pp. 496-500, 2020 IEEE Region 10 Conference, TENCON 2020, Virtual, Osaka, Japan, 20/11/16. https://doi.org/10.1109/TENCON50793.2020.9293711

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abstract = "In this paper, block parallel Gibbs sampling (BPGS) multiple-input multiple-output (MIMO) detection is proposed. In a conventional Gibbs sampling scheme, MIMO detection is carried out sequentially symbol-by-symbol. The proposed scheme divides a symbol vector to blocks and updates candidate transmit symbols in parallel in a block so that the total number of iterations in a unit period increases. Furthermore, maximum ratio combining (MRC) is adopted to BPGS to improve accuracy in this paper. Numerical results obtained through computer simulations show that bit error rate performance under high bit-energy-to-noise-spectrum-density conditions improves with the proposed scheme. It is also shown that the block size of three achieves the best performance when number of antennas is 16×16 and the number of iterations is 50.",

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AB - In this paper, block parallel Gibbs sampling (BPGS) multiple-input multiple-output (MIMO) detection is proposed. In a conventional Gibbs sampling scheme, MIMO detection is carried out sequentially symbol-by-symbol. The proposed scheme divides a symbol vector to blocks and updates candidate transmit symbols in parallel in a block so that the total number of iterations in a unit period increases. Furthermore, maximum ratio combining (MRC) is adopted to BPGS to improve accuracy in this paper. Numerical results obtained through computer simulations show that bit error rate performance under high bit-energy-to-noise-spectrum-density conditions improves with the proposed scheme. It is also shown that the block size of three achieves the best performance when number of antennas is 16×16 and the number of iterations is 50.

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MIMO detection with block parallel gibbs sampling and maximum ratio combining

Abstract

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Conference

Keywords

ASJC Scopus subject areas

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