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".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
A contaminação piloto é tratada em uplink massivo de múltiplas entradas e múltiplas saídas (MIMO). As ideias principais da descontaminação piloto são duplas: Uma é projetar o tempo de transmissão de sequências piloto de modo que os períodos de transmissão piloto em células diferentes não se sobreponham completamente entre si, conforme considerado em trabalhos anteriores. A outra é a estimativa conjunta de canais e dados por meio de passagem aproximada de mensagens (AMP) para inferência bilinear. A propriedade de convergência do AMP convencional é ruim em problemas de inferência bilinear, de modo que o amortecimento adaptativo foi necessário para ajudar a convergir o AMP convencional. A principal contribuição deste artigo é uma modificação das regras de atualização no AMP convencional para melhorar a propriedade de convergência do AMP. Simulações numéricas mostram que o AMP proposto supera o AMP convencional em termos de desempenho de estimativa quando o amortecimento adaptativo não é usado. Além disso, alcança melhor desempenho do que métodos de última geração baseados na estimativa de subespaço quando a diferença de potência entre as células é pequena.
Takumi FUJITSUKA
Toyohashi University of Technology
Keigo TAKEUCHI
Toyohashi University of Technology
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Takumi FUJITSUKA, Keigo TAKEUCHI, "Pilot Decontamination in Massive MIMO Uplink via Approximate Message-Passing" in IEICE TRANSACTIONS on Fundamentals,
vol. E103-A, no. 12, pp. 1356-1366, December 2020, doi: 10.1587/transfun.2020TAP0007.
Abstract: Pilot contamination is addressed in massive multiple-input multiple-output (MIMO) uplink. The main ideas of pilot decontamination are twofold: One is to design transmission timing of pilot sequences such that the pilot transmission periods in different cells do not fully overlap with each other, as considered in previous works. The other is joint channel and data estimation via approximate message-passing (AMP) for bilinear inference. The convergence property of conventional AMP is bad in bilinear inference problems, so that adaptive damping was required to help conventional AMP converge. The main contribution of this paper is a modification of the update rules in conventional AMP to improve the convergence property of AMP. Numerical simulations show that the proposed AMP outperforms conventional AMP in terms of estimation performance when adaptive damping is not used. Furthermore, it achieves better performance than state-of-the-art methods based on subspace estimation when the power difference between cells is small.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2020TAP0007/_p
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@ARTICLE{e103-a_12_1356,
author={Takumi FUJITSUKA, Keigo TAKEUCHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Pilot Decontamination in Massive MIMO Uplink via Approximate Message-Passing},
year={2020},
volume={E103-A},
number={12},
pages={1356-1366},
abstract={Pilot contamination is addressed in massive multiple-input multiple-output (MIMO) uplink. The main ideas of pilot decontamination are twofold: One is to design transmission timing of pilot sequences such that the pilot transmission periods in different cells do not fully overlap with each other, as considered in previous works. The other is joint channel and data estimation via approximate message-passing (AMP) for bilinear inference. The convergence property of conventional AMP is bad in bilinear inference problems, so that adaptive damping was required to help conventional AMP converge. The main contribution of this paper is a modification of the update rules in conventional AMP to improve the convergence property of AMP. Numerical simulations show that the proposed AMP outperforms conventional AMP in terms of estimation performance when adaptive damping is not used. Furthermore, it achieves better performance than state-of-the-art methods based on subspace estimation when the power difference between cells is small.},
keywords={},
doi={10.1587/transfun.2020TAP0007},
ISSN={1745-1337},
month={December},}
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TY - JOUR
TI - Pilot Decontamination in Massive MIMO Uplink via Approximate Message-Passing
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1356
EP - 1366
AU - Takumi FUJITSUKA
AU - Keigo TAKEUCHI
PY - 2020
DO - 10.1587/transfun.2020TAP0007
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E103-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2020
AB - Pilot contamination is addressed in massive multiple-input multiple-output (MIMO) uplink. The main ideas of pilot decontamination are twofold: One is to design transmission timing of pilot sequences such that the pilot transmission periods in different cells do not fully overlap with each other, as considered in previous works. The other is joint channel and data estimation via approximate message-passing (AMP) for bilinear inference. The convergence property of conventional AMP is bad in bilinear inference problems, so that adaptive damping was required to help conventional AMP converge. The main contribution of this paper is a modification of the update rules in conventional AMP to improve the convergence property of AMP. Numerical simulations show that the proposed AMP outperforms conventional AMP in terms of estimation performance when adaptive damping is not used. Furthermore, it achieves better performance than state-of-the-art methods based on subspace estimation when the power difference between cells is small.
ER -