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
Dans cet article, un schéma de précodage quantifié non linéaire pour les convertisseurs numériques-analogiques (DAC) basse résolution dans un système massif à entrées multiples et sorties multiples (MIMO) est proposé. Le précodage quantifié non linéaire détermine les sorties d'antenne d'émission avec un symbole d'émission et des informations sur l'état du canal. Dans un système MIMO massif entièrement numérique, des DAC basse résolution sont utilisés pour supprimer la consommation d'énergie. Les algorithmes de précodage conventionnels pour les DAC basse résolution n'optimisent pas individuellement les gains de l'antenne d'émission. Ainsi, dans cet article, un schéma de précodage qui optimise les gains des antennes d'émission individuelles ainsi que les sorties du DAC est proposé. Dans le schéma proposé, le sous-réseau d’antennes MIMO massives est traité pratiquement comme un élément d’antenne unique. Les résultats numériques obtenus par simulation informatique montrent que le schéma de précodage proposé atteint des performances de taux d'erreur binaire proches de celles du schéma de précodage conventionnel avec des gains d'antenne beaucoup plus faibles sur un canal CDL-A.
Taichi YAMAKADO
Keio University
Yukitoshi SANADA
Keio University
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Taichi YAMAKADO, Yukitoshi SANADA, "Gain and Output Optimization Scheme for Block Low-Resolution DACs in Massive MIMO Downlink" in IEICE TRANSACTIONS on Communications,
vol. E106-B, no. 11, pp. 1200-1209, November 2023, doi: 10.1587/transcom.2023EBP3016.
Abstract: In this paper, a nonlinear quantized precoding scheme for low-resolution digital-analog converters (DACs) in a massive multiple-input multiple-output (MIMO) system is proposed. The nonlinear quantized precoding determines transmit antenna outputs with a transmit symbol and channel state information. In a full-digital massive MIMO system, low-resolution DACs are used to suppress power consumption. Conventional precoding algorithms for low-resolution DACs do not optimize transmit antenna gains individually. Thus, in this paper, a precoding scheme that optimizes individual transmit antenna gains as well as the DAC outputs is proposed. In the proposed scheme, the subarray of massive MIMO antennas is treated virtually as a single antenna element. Numerical results obtained through computer simulation show that the proposed precoding scheme achieves bit error rate performance close to that of the conventional precoding scheme with much smaller antenna gains on a CDL-A channel.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2023EBP3016/_p
Copier
@ARTICLE{e106-b_11_1200,
author={Taichi YAMAKADO, Yukitoshi SANADA, },
journal={IEICE TRANSACTIONS on Communications},
title={Gain and Output Optimization Scheme for Block Low-Resolution DACs in Massive MIMO Downlink},
year={2023},
volume={E106-B},
number={11},
pages={1200-1209},
abstract={In this paper, a nonlinear quantized precoding scheme for low-resolution digital-analog converters (DACs) in a massive multiple-input multiple-output (MIMO) system is proposed. The nonlinear quantized precoding determines transmit antenna outputs with a transmit symbol and channel state information. In a full-digital massive MIMO system, low-resolution DACs are used to suppress power consumption. Conventional precoding algorithms for low-resolution DACs do not optimize transmit antenna gains individually. Thus, in this paper, a precoding scheme that optimizes individual transmit antenna gains as well as the DAC outputs is proposed. In the proposed scheme, the subarray of massive MIMO antennas is treated virtually as a single antenna element. Numerical results obtained through computer simulation show that the proposed precoding scheme achieves bit error rate performance close to that of the conventional precoding scheme with much smaller antenna gains on a CDL-A channel.},
keywords={},
doi={10.1587/transcom.2023EBP3016},
ISSN={1745-1345},
month={November},}
Copier
TY - JOUR
TI - Gain and Output Optimization Scheme for Block Low-Resolution DACs in Massive MIMO Downlink
T2 - IEICE TRANSACTIONS on Communications
SP - 1200
EP - 1209
AU - Taichi YAMAKADO
AU - Yukitoshi SANADA
PY - 2023
DO - 10.1587/transcom.2023EBP3016
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E106-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2023
AB - In this paper, a nonlinear quantized precoding scheme for low-resolution digital-analog converters (DACs) in a massive multiple-input multiple-output (MIMO) system is proposed. The nonlinear quantized precoding determines transmit antenna outputs with a transmit symbol and channel state information. In a full-digital massive MIMO system, low-resolution DACs are used to suppress power consumption. Conventional precoding algorithms for low-resolution DACs do not optimize transmit antenna gains individually. Thus, in this paper, a precoding scheme that optimizes individual transmit antenna gains as well as the DAC outputs is proposed. In the proposed scheme, the subarray of massive MIMO antennas is treated virtually as a single antenna element. Numerical results obtained through computer simulation show that the proposed precoding scheme achieves bit error rate performance close to that of the conventional precoding scheme with much smaller antenna gains on a CDL-A channel.
ER -