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
Kertas kerja ini mengembangkan skim penindasan pautan atas separa buta yang kami cadangkan sebelum ini untuk sistem MIMO besar berbilang pengguna berbilang sel untuk menyokong isyarat berbilang modulus. Cadangan asal menggunakan penindasan gangguan tatasusunan suai buta (BAA) berbantukan maklumat keadaan saluran (CSI) selepas prapemprosesan ruang pancaran dan anggaran saluran maklum balas keputusan (DFCE). BAA adalah berdasarkan algoritma modulus malar (CMA) yang boleh mengeksploitasi sepenuhnya tahap kebebasan (DoF) tatasusunan antena besar-besaran untuk menyekat kedua-dua gangguan antara pengguna (IUI) dan gangguan antara sel (ICI). Keberkesanannya telah disahkan di bawah kekangan pencemaran perintis yang meluas. Malangnya, CMA pada asasnya berfungsi dengan baik hanya untuk isyarat sampul malar seperti QPSK dan oleh itu skim yang dicadangkan harus dikembangkan untuk meliputi isyarat QAM untuk kegunaan yang lebih umum. Kertas kerja ini bercadang untuk menggunakan algoritma multi modulus (MMA) dan terbitan berat ralat min kuasa dua minimum berdasarkan penyongsangan matriks sampel berbantukan data (MMSE-SMI). Ia boleh berjaya merealisasikan penindasan gangguan walaupun dengan penggunaan isyarat sampul surat berbilang peringkat seperti 16QAM dengan prestasi kebarangkalian gangguan yang memuaskan di bawah persentil kelima.
Kazuki MARUTA
Tokyo Institute of Technology
Chang-Jun AHN
Chiba University
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Salinan
Kazuki MARUTA, Chang-Jun AHN, "Multi Modulus Signal Adaptation for Semi-Blind Uplink Interference Suppression on Multicell Massive MIMO Systems" in IEICE TRANSACTIONS on Communications,
vol. E104-B, no. 2, pp. 158-168, February 2021, doi: 10.1587/transcom.2020EBT0002.
Abstract: This paper expands our previously proposed semi-blind uplink interference suppression scheme for multicell multiuser massive MIMO systems to support multi modulus signals. The original proposal applies the channel state information (CSI) aided blind adaptive array (BAA) interference suppression after the beamspace preprocessing and the decision feedback channel estimation (DFCE). BAA is based on the constant modulus algorithm (CMA) which can fully exploit the degree of freedom (DoF) of massive antenna arrays to suppress both inter-user interference (IUI) and inter-cell interference (ICI). Its effectiveness has been verified under the extensive pilot contamination constraint. Unfortunately, CMA basically works well only for constant envelope signals such as QPSK and thus the proposed scheme should be expanded to cover QAM signals for more general use. This paper proposes to apply the multi modulus algorithm (MMA) and the minimum mean square error weight derivation based on data-aided sample matrix inversion (MMSE-SMI). It can successfully realize interference suppression even with the use of multi-level envelope signals such as 16QAM with satisfactorily outage probability performance below the fifth percentile.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2020EBT0002/_p
Salinan
@ARTICLE{e104-b_2_158,
author={Kazuki MARUTA, Chang-Jun AHN, },
journal={IEICE TRANSACTIONS on Communications},
title={Multi Modulus Signal Adaptation for Semi-Blind Uplink Interference Suppression on Multicell Massive MIMO Systems},
year={2021},
volume={E104-B},
number={2},
pages={158-168},
abstract={This paper expands our previously proposed semi-blind uplink interference suppression scheme for multicell multiuser massive MIMO systems to support multi modulus signals. The original proposal applies the channel state information (CSI) aided blind adaptive array (BAA) interference suppression after the beamspace preprocessing and the decision feedback channel estimation (DFCE). BAA is based on the constant modulus algorithm (CMA) which can fully exploit the degree of freedom (DoF) of massive antenna arrays to suppress both inter-user interference (IUI) and inter-cell interference (ICI). Its effectiveness has been verified under the extensive pilot contamination constraint. Unfortunately, CMA basically works well only for constant envelope signals such as QPSK and thus the proposed scheme should be expanded to cover QAM signals for more general use. This paper proposes to apply the multi modulus algorithm (MMA) and the minimum mean square error weight derivation based on data-aided sample matrix inversion (MMSE-SMI). It can successfully realize interference suppression even with the use of multi-level envelope signals such as 16QAM with satisfactorily outage probability performance below the fifth percentile.},
keywords={},
doi={10.1587/transcom.2020EBT0002},
ISSN={1745-1345},
month={February},}
Salinan
TY - JOUR
TI - Multi Modulus Signal Adaptation for Semi-Blind Uplink Interference Suppression on Multicell Massive MIMO Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 158
EP - 168
AU - Kazuki MARUTA
AU - Chang-Jun AHN
PY - 2021
DO - 10.1587/transcom.2020EBT0002
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E104-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2021
AB - This paper expands our previously proposed semi-blind uplink interference suppression scheme for multicell multiuser massive MIMO systems to support multi modulus signals. The original proposal applies the channel state information (CSI) aided blind adaptive array (BAA) interference suppression after the beamspace preprocessing and the decision feedback channel estimation (DFCE). BAA is based on the constant modulus algorithm (CMA) which can fully exploit the degree of freedom (DoF) of massive antenna arrays to suppress both inter-user interference (IUI) and inter-cell interference (ICI). Its effectiveness has been verified under the extensive pilot contamination constraint. Unfortunately, CMA basically works well only for constant envelope signals such as QPSK and thus the proposed scheme should be expanded to cover QAM signals for more general use. This paper proposes to apply the multi modulus algorithm (MMA) and the minimum mean square error weight derivation based on data-aided sample matrix inversion (MMSE-SMI). It can successfully realize interference suppression even with the use of multi-level envelope signals such as 16QAM with satisfactorily outage probability performance below the fifth percentile.
ER -