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, algoritma prapengekodan bukan linear dengan sinaran luar jalur (OOB) rendah dicadangkan untuk sistem berbilang input berbilang input (MIMO) besar-besaran. MIMO besar-besaran menetapkan lebih daripada seratus antena di setiap stesen pangkalan untuk mencapai kecekapan dan daya pemprosesan spektrum yang lebih tinggi. MIMO besar-besaran digital penuh mungkin mengekang resolusi penukar digital-ke-analog (DAC) kerana setiap DAC menggunakan sejumlah besar kuasa. Dalam sistem MIMO besar-besaran dengan DAC resolusi rendah, kaedah reka bentuk isyarat keluaran DAC dengan pemprosesan tak linear sedang disiasat. Skim konvensional hanya memfokuskan pada kadar jumlah atau ralat dalam isyarat yang diterima dan seterusnya mencetuskan sinaran OOB yang besar. Makalah ini mencadangkan kriteria pengoptimuman yang mengambil kira kuasa sinaran OOB. Persampelan Gibbs digunakan sebagai algoritma untuk mencari penyelesaian sub-optimum berdasarkan kriteria ini. Keputusan berangka yang diperoleh melalui simulasi komputer menunjukkan bahawa kriteria yang dicadangkan mengurangkan purata kuasa sinaran OOB dengan faktor 10 berbanding dengan kriteria konvensional. Kriteria yang dicadangkan juga mengurangkan sinaran OOB sambil meningkatkan kadar jumlah purata dengan mengoptimumkan faktor berat untuk sinaran OOB. Hasilnya, kriteria yang dicadangkan mencapai lebih kurang 1.3 kali lebih tinggi kadar jumlah purata daripada kriteria berasaskan ralat. Sebaliknya, berbanding dengan kriteria berdasarkan kadar jumlah, daya tampung pada setiap subpembawa menunjukkan kurang variasi yang mengurangkan bilangan pilihan penyesuaian pautan yang diperlukan walaupun kadar jumlah purata bagi kriteria yang dicadangkan adalah lebih kecil.
Taichi YAMAKADO
Keio University
Riki OKAWA
Keio University
Yukitoshi SANADA
Keio University
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Salinan
Taichi YAMAKADO, Riki OKAWA, Yukitoshi SANADA, "Reduction of Out-of-Band Radiation with Quantized Precoding Using Gibbs Sampling in Massive MU-MIMO-OFDM" in IEICE TRANSACTIONS on Communications,
vol. E105-B, no. 10, pp. 1240-1248, October 2022, doi: 10.1587/transcom.2021EBP3172.
Abstract: In this paper, a non-linear precoding algorithm with low out-of-band (OOB) radiation is proposed for massive multiple-input multiple-output (MIMO) systems. Massive MIMO sets more than one hundred antennas at each base station to achieve higher spectral efficiency and throughput. Full digital massive MIMO may constrain the resolution of digital-to-analog converters (DACs) since each DAC consumes a large amount of power. In massive MIMO systems with low resolution DACs, designing methods of DAC output signals by nonlinear processing are being investigated. The conventional scheme focuses only on a sum rate or errors in the received signals and so triggers large OOB radiation. This paper proposes an optimization criterion that takes OOB radiation power into account. Gibbs sampling is used as an algorithm to find sub-optimal solutions given this criterion. Numerical results obtained through computer simulation show that the proposed criterion reduces mean OOB radiation power by a factor of 10 as compared with the conventional criterion. The proposed criterion also reduces OOB radiation while increasing the average sum rate by optimizing the weight factor for the OOB radiation. As a result, the proposed criterion achieves approximately 1.3 times higher average sum rates than an error-based criterion. On the other hand, as compared with a sum rate based criterion, the throughput on each subcarrier shows less variation which reduces the number of link adaptation options needed although the average sum rate of the proposed criterion is smaller.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2021EBP3172/_p
Salinan
@ARTICLE{e105-b_10_1240,
author={Taichi YAMAKADO, Riki OKAWA, Yukitoshi SANADA, },
journal={IEICE TRANSACTIONS on Communications},
title={Reduction of Out-of-Band Radiation with Quantized Precoding Using Gibbs Sampling in Massive MU-MIMO-OFDM},
year={2022},
volume={E105-B},
number={10},
pages={1240-1248},
abstract={In this paper, a non-linear precoding algorithm with low out-of-band (OOB) radiation is proposed for massive multiple-input multiple-output (MIMO) systems. Massive MIMO sets more than one hundred antennas at each base station to achieve higher spectral efficiency and throughput. Full digital massive MIMO may constrain the resolution of digital-to-analog converters (DACs) since each DAC consumes a large amount of power. In massive MIMO systems with low resolution DACs, designing methods of DAC output signals by nonlinear processing are being investigated. The conventional scheme focuses only on a sum rate or errors in the received signals and so triggers large OOB radiation. This paper proposes an optimization criterion that takes OOB radiation power into account. Gibbs sampling is used as an algorithm to find sub-optimal solutions given this criterion. Numerical results obtained through computer simulation show that the proposed criterion reduces mean OOB radiation power by a factor of 10 as compared with the conventional criterion. The proposed criterion also reduces OOB radiation while increasing the average sum rate by optimizing the weight factor for the OOB radiation. As a result, the proposed criterion achieves approximately 1.3 times higher average sum rates than an error-based criterion. On the other hand, as compared with a sum rate based criterion, the throughput on each subcarrier shows less variation which reduces the number of link adaptation options needed although the average sum rate of the proposed criterion is smaller.},
keywords={},
doi={10.1587/transcom.2021EBP3172},
ISSN={1745-1345},
month={October},}
Salinan
TY - JOUR
TI - Reduction of Out-of-Band Radiation with Quantized Precoding Using Gibbs Sampling in Massive MU-MIMO-OFDM
T2 - IEICE TRANSACTIONS on Communications
SP - 1240
EP - 1248
AU - Taichi YAMAKADO
AU - Riki OKAWA
AU - Yukitoshi SANADA
PY - 2022
DO - 10.1587/transcom.2021EBP3172
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E105-B
IS - 10
JA - IEICE TRANSACTIONS on Communications
Y1 - October 2022
AB - In this paper, a non-linear precoding algorithm with low out-of-band (OOB) radiation is proposed for massive multiple-input multiple-output (MIMO) systems. Massive MIMO sets more than one hundred antennas at each base station to achieve higher spectral efficiency and throughput. Full digital massive MIMO may constrain the resolution of digital-to-analog converters (DACs) since each DAC consumes a large amount of power. In massive MIMO systems with low resolution DACs, designing methods of DAC output signals by nonlinear processing are being investigated. The conventional scheme focuses only on a sum rate or errors in the received signals and so triggers large OOB radiation. This paper proposes an optimization criterion that takes OOB radiation power into account. Gibbs sampling is used as an algorithm to find sub-optimal solutions given this criterion. Numerical results obtained through computer simulation show that the proposed criterion reduces mean OOB radiation power by a factor of 10 as compared with the conventional criterion. The proposed criterion also reduces OOB radiation while increasing the average sum rate by optimizing the weight factor for the OOB radiation. As a result, the proposed criterion achieves approximately 1.3 times higher average sum rates than an error-based criterion. On the other hand, as compared with a sum rate based criterion, the throughput on each subcarrier shows less variation which reduces the number of link adaptation options needed although the average sum rate of the proposed criterion is smaller.
ER -