The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Neste artigo, é proposta a detecção mista de amostragem de Gibbs de múltiplas entradas e múltiplas saídas (MIMO) com busca forçada. Na detecção MIMO de amostragem convencional de Gibbs, o problema de travamento ocorre sob altas relações sinal-ruído (SNRs), o que degrada o desempenho da detecção. A amostragem mista de Gibbs (MGS) é uma solução para este problema. No MGS, a amostragem aleatória é realizada com probabilidade constante, independentemente de a pesquisa atual cair em um mínimo local. No esquema proposto, combinado com MGS, múltiplos símbolos candidatos são alterados à força quando a busca é capturada por um mínimo local. A busca reinicia longe do mínimo local, o que efetivamente amplia a área de busca no espaço de soluções. Resultados numéricos obtidos através de simulação computacional mostram que o esquema proposto atinge melhor desempenho em um sistema MIMO de grande escala com sinais QPSK.
Kenji YAMAZAKI
Keio University
Yukitoshi SANADA
Keio University
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copiar
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
Copiar
@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},}
Copiar
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 -