IEICE TRANSACTIONS on Communications
Forcible Search Scheme for Mixed Gibbs Sampling Massive MIMO Detection
Summary :
In this paper, mixed Gibbs sampling multiple-input multiple-output (MIMO) detection with forcible search is proposed. In conventional Gibbs sampling MIMO detection, the problem of stalling occurs under high signal-to-noise ratios (SNRs) which degrades the detection performance. Mixed Gibbs sampling (MGS) is one solution to this problem. In MGS, random sampling is carried out with a constant probability regardless of whether a current search falls into a local minimum. In the proposed scheme, combined with MGS, multiple candidate symbols are forcibly changed when the search is captured by a local minimum. The search restarts away from the local minimum which effectively enlarges the search area in the solution space. Numerical results obtained through computer simulation show that the proposed scheme achieves better performance in a large scale MIMO system with QPSK signals.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E104-B No.4 pp.419-427
- Publication Date
- 2021/04/01
- Publicized
- 2020/10/06
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2020EBP3030
- Type of Manuscript
- PAPER
- Category
- Wireless Communication Technologies
Authors
Kenji YAMAZAKI
Keio University
Yukitoshi SANADA
Keio University
Keyword
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Kenji YAMAZAKI, Yukitoshi SANADA, "Forcible Search Scheme for Mixed Gibbs Sampling Massive MIMO Detection" in IEICE TRANSACTIONS on Communications,
vol. E104-B, no. 4, pp. 419-427, April 2021, doi: 10.1587/transcom.2020EBP3030.
Abstract: In this paper, mixed Gibbs sampling multiple-input multiple-output (MIMO) detection with forcible search is proposed. In conventional Gibbs sampling MIMO detection, the problem of stalling occurs under high signal-to-noise ratios (SNRs) which degrades the detection performance. Mixed Gibbs sampling (MGS) is one solution to this problem. In MGS, random sampling is carried out with a constant probability regardless of whether a current search falls into a local minimum. In the proposed scheme, combined with MGS, multiple candidate symbols are forcibly changed when the search is captured by a local minimum. The search restarts away from the local minimum which effectively enlarges the search area in the solution space. Numerical results obtained through computer simulation show that the proposed scheme achieves better performance in a large scale MIMO system with QPSK signals.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2020EBP3030/_p
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@ARTICLE{e104-b_4_419,
author={Kenji YAMAZAKI, Yukitoshi SANADA, },
journal={IEICE TRANSACTIONS on Communications},
title={Forcible Search Scheme for Mixed Gibbs Sampling Massive MIMO Detection},
year={2021},
volume={E104-B},
number={4},
pages={419-427},
abstract={In this paper, mixed Gibbs sampling multiple-input multiple-output (MIMO) detection with forcible search is proposed. In conventional Gibbs sampling MIMO detection, the problem of stalling occurs under high signal-to-noise ratios (SNRs) which degrades the detection performance. Mixed Gibbs sampling (MGS) is one solution to this problem. In MGS, random sampling is carried out with a constant probability regardless of whether a current search falls into a local minimum. In the proposed scheme, combined with MGS, multiple candidate symbols are forcibly changed when the search is captured by a local minimum. The search restarts away from the local minimum which effectively enlarges the search area in the solution space. Numerical results obtained through computer simulation show that the proposed scheme achieves better performance in a large scale MIMO system with QPSK signals.},
keywords={},
doi={10.1587/transcom.2020EBP3030},
ISSN={1745-1345},
month={April},}
Copy
TY - JOUR
TI - Forcible Search Scheme for Mixed Gibbs Sampling Massive MIMO Detection
T2 - IEICE TRANSACTIONS on Communications
SP - 419
EP - 427
AU - Kenji YAMAZAKI
AU - Yukitoshi SANADA
PY - 2021
DO - 10.1587/transcom.2020EBP3030
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E104-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2021
AB - In this paper, mixed Gibbs sampling multiple-input multiple-output (MIMO) detection with forcible search is proposed. In conventional Gibbs sampling MIMO detection, the problem of stalling occurs under high signal-to-noise ratios (SNRs) which degrades the detection performance. Mixed Gibbs sampling (MGS) is one solution to this problem. In MGS, random sampling is carried out with a constant probability regardless of whether a current search falls into a local minimum. In the proposed scheme, combined with MGS, multiple candidate symbols are forcibly changed when the search is captured by a local minimum. The search restarts away from the local minimum which effectively enlarges the search area in the solution space. Numerical results obtained through computer simulation show that the proposed scheme achieves better performance in a large scale MIMO system with QPSK signals.
ER -
English
