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
Dalam makalah ini, skim prapengekodan terkuantiti tak linear untuk penukar analog digital (DAC) resolusi rendah dalam sistem berbilang input berbilang input (MIMO) besar-besaran dicadangkan. Prapengekodan terkuantiti tak linear menentukan output antena pemancar dengan simbol hantaran dan maklumat keadaan saluran. Dalam sistem MIMO besar-besaran digital penuh, DAC resolusi rendah digunakan untuk menyekat penggunaan kuasa. Algoritma prapengekodan konvensional untuk DAC resolusi rendah tidak mengoptimumkan keuntungan antena penghantaran secara individu. Oleh itu, dalam kertas ini, skim prapengekodan yang mengoptimumkan keuntungan antena pemancar individu serta output DAC dicadangkan. Dalam skema yang dicadangkan, subarray antena MIMO besar-besaran dianggap sebagai satu elemen antena tunggal. Keputusan berangka yang diperolehi melalui simulasi komputer menunjukkan bahawa skema prapengekodan yang dicadangkan mencapai prestasi kadar ralat bit hampir dengan skema prapengekodan konvensional dengan keuntungan antena yang lebih kecil pada saluran CDL-A.
Taichi YAMAKADO
Keio University
Yukitoshi SANADA
Keio University
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Salinan
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
Salinan
@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},}
Salinan
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 -