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 proposto um esquema de pré-codificação quantizada não linear para conversores analógico-digitais (DACs) de baixa resolução em um sistema massivo de múltiplas entradas e múltiplas saídas (MIMO). A pré-codificação quantizada não linear determina as saídas da antena de transmissão com um símbolo de transmissão e informações de estado do canal. Em um sistema MIMO massivo totalmente digital, DACs de baixa resolução são usados para suprimir o consumo de energia. Algoritmos de pré-codificação convencionais para DACs de baixa resolução não otimizam os ganhos da antena de transmissão individualmente. Assim, neste artigo, é proposto um esquema de pré-codificação que otimiza os ganhos individuais da antena de transmissão, bem como as saídas do DAC. No esquema proposto, o subarranjo de antenas MIMO massivas é tratado virtualmente como um único elemento de antena. Os resultados numéricos obtidos através de simulação computacional mostram que o esquema de pré-codificação proposto atinge um desempenho de taxa de erro de bit próximo ao do esquema de pré-codificação convencional com ganhos de antena muito menores em um canal CDL-A.
Taichi YAMAKADO
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
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
Copiar
@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},}
Copiar
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 -