IEICE TRANSACTIONS on Fundamentals
Pilot Decontamination in Massive MIMO Uplink via Approximate Message-Passing
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E103-A No.12 pp.1356-1366
- Publication Date
- 2020/12/01
- Publicized
- 2020/07/01
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.2020TAP0007
- Type of Manuscript
- Special Section PAPER (Special Section on Information Theory and Its Applications)
- Category
- Communication Theory
Authors
Takumi FUJITSUKA
Toyohashi University of Technology
Keigo TAKEUCHI
Toyohashi University of Technology
Keyword
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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},}
Copy
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 -
English
