### Abstract

In this paper, a metric function for Gibbs sampling multiple-input multiple-output (MIMO) detection is proposed. In conventional Gibbs sampling MIMO detection, an exponential function is used in the calculation of a metric for the selection of candidate symbols. However, the exponential function can be implemented by a look-up table and may require a large amount of memory. This paper proposes a metric function based on a simple fraction. The proposed metric substitutes the exponential function though it increases the number of multiplication operations. It is shown by numerical results obtained through computer simulation that the proposed metric function improves the performance under a high signal-to-noise ratio condition in a large scale MIMO system since its curve is close to that of the exponential function when an input metric distance approaches to zero.

Original language | English |
---|---|

Title of host publication | 2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings |

Publisher | Institute of Electrical and Electronics Engineers Inc. |

ISBN (Electronic) | 9781538663585 |

DOIs | |

Publication status | Published - 2019 Apr 12 |

Event | 88th IEEE Vehicular Technology Conference, VTC-Fall 2018 - Chicago, United States Duration: 2018 Aug 27 → 2018 Aug 30 |

### Publication series

Name | IEEE Vehicular Technology Conference |
---|---|

Volume | 2018-August |

ISSN (Print) | 1550-2252 |

### Conference

Conference | 88th IEEE Vehicular Technology Conference, VTC-Fall 2018 |
---|---|

Country | United States |

City | Chicago |

Period | 18/8/27 → 18/8/30 |

### Fingerprint

### ASJC Scopus subject areas

- Computer Science Applications
- Electrical and Electronic Engineering
- Applied Mathematics

### Cite this

*2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings*[8690983] (IEEE Vehicular Technology Conference; Vol. 2018-August). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCFall.2018.8690983

**Low Complexity Metric Function for Gibbs Sampling MIMO Detection.** / Kobayashi, Yutaro; Sanada, Yukitoshi.

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

*2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings.*, 8690983, IEEE Vehicular Technology Conference, vol. 2018-August, Institute of Electrical and Electronics Engineers Inc., 88th IEEE Vehicular Technology Conference, VTC-Fall 2018, Chicago, United States, 18/8/27. https://doi.org/10.1109/VTCFall.2018.8690983

}

TY - GEN

T1 - Low Complexity Metric Function for Gibbs Sampling MIMO Detection

AU - Kobayashi, Yutaro

AU - Sanada, Yukitoshi

PY - 2019/4/12

Y1 - 2019/4/12

N2 - In this paper, a metric function for Gibbs sampling multiple-input multiple-output (MIMO) detection is proposed. In conventional Gibbs sampling MIMO detection, an exponential function is used in the calculation of a metric for the selection of candidate symbols. However, the exponential function can be implemented by a look-up table and may require a large amount of memory. This paper proposes a metric function based on a simple fraction. The proposed metric substitutes the exponential function though it increases the number of multiplication operations. It is shown by numerical results obtained through computer simulation that the proposed metric function improves the performance under a high signal-to-noise ratio condition in a large scale MIMO system since its curve is close to that of the exponential function when an input metric distance approaches to zero.

AB - In this paper, a metric function for Gibbs sampling multiple-input multiple-output (MIMO) detection is proposed. In conventional Gibbs sampling MIMO detection, an exponential function is used in the calculation of a metric for the selection of candidate symbols. However, the exponential function can be implemented by a look-up table and may require a large amount of memory. This paper proposes a metric function based on a simple fraction. The proposed metric substitutes the exponential function though it increases the number of multiplication operations. It is shown by numerical results obtained through computer simulation that the proposed metric function improves the performance under a high signal-to-noise ratio condition in a large scale MIMO system since its curve is close to that of the exponential function when an input metric distance approaches to zero.

UR - http://www.scopus.com/inward/record.url?scp=85064900218&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85064900218&partnerID=8YFLogxK

U2 - 10.1109/VTCFall.2018.8690983

DO - 10.1109/VTCFall.2018.8690983

M3 - Conference contribution

AN - SCOPUS:85064900218

T3 - IEEE Vehicular Technology Conference

BT - 2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

ER -