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".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Les techniques de détection distribuée des signaux spatialement multiplexés à entrées multiples et sorties multiples (MIMO) sont étudiées dans cet article. Le système considéré utilise plusieurs stations mobiles (MS) pour recevoir des signaux provenant d'une station de base, puis partager les formes d'onde de leurs signaux reçus avec des MS collaboratrices. Afin de réduire la quantité de trafic sur les liaisons sans fil collaboratrices, des techniques de détection distribuées sont proposées, dans lesquelles plusieurs MS sont chargées de la détection en utilisant à la fois les formes d'onde de signal partagées et leur propre forme d'onde reçue. Des schémas de combinaison de sélection de séquences de bits détectées sont étudiés pour finaliser les décisions. Les coefficients d'erreur résiduels dans l'égalisation et la détection itératives MIMO sont utilisés dans cette sélection. Les performances du taux d'erreur sont élucidées non seulement par des simulations informatiques, mais également par un traitement hors ligne utilisant des signaux expérimentaux enregistrés lors d'une campagne de mesure.
Fengning DU
Kyoto University
Hidekazu MURATA
Kyoto University
Mampei KASAI
Kyoto University
Toshiro NAKAHIRA
NTT Corporation
Koichi ISHIHARA
NTT Corporation
Motoharu SASAKI
NTT Corporation
Takatsune MORIYAMA
NTT Corporation
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Fengning DU, Hidekazu MURATA, Mampei KASAI, Toshiro NAKAHIRA, Koichi ISHIHARA, Motoharu SASAKI, Takatsune MORIYAMA, "Distributed Detection of MIMO Spatial Multiplexed Signals in Terminal Collaborated Reception" in IEICE TRANSACTIONS on Communications,
vol. E104-B, no. 7, pp. 884-892, July 2021, doi: 10.1587/transcom.2020EBP3108.
Abstract: Distributed detection techniques of multiple-input multiple-output (MIMO) spatially multiplexed signals are studied in this paper. This system considered employs multiple mobile stations (MSs) to receive signals from a base station, and then share their received signal waveforms with collaborating MSs. In order to reduce the amount of traffic over the collaborating wireless links, distributed detection techniques are proposed, in which multiple MSs are in charge of detection by making use of both the shared signal waveforms and its own received waveform. Selection combining schemes of detected bit sequences are studied to finalize the decisions. Residual error coefficients in iterative MIMO equalization and detection are utilized in this selection. The error-ratio performance is elucidated not only by computer simulations, but also by offline processing using experimental signals recorded in a measurement campaign.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2020EBP3108/_p
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@ARTICLE{e104-b_7_884,
author={Fengning DU, Hidekazu MURATA, Mampei KASAI, Toshiro NAKAHIRA, Koichi ISHIHARA, Motoharu SASAKI, Takatsune MORIYAMA, },
journal={IEICE TRANSACTIONS on Communications},
title={Distributed Detection of MIMO Spatial Multiplexed Signals in Terminal Collaborated Reception},
year={2021},
volume={E104-B},
number={7},
pages={884-892},
abstract={Distributed detection techniques of multiple-input multiple-output (MIMO) spatially multiplexed signals are studied in this paper. This system considered employs multiple mobile stations (MSs) to receive signals from a base station, and then share their received signal waveforms with collaborating MSs. In order to reduce the amount of traffic over the collaborating wireless links, distributed detection techniques are proposed, in which multiple MSs are in charge of detection by making use of both the shared signal waveforms and its own received waveform. Selection combining schemes of detected bit sequences are studied to finalize the decisions. Residual error coefficients in iterative MIMO equalization and detection are utilized in this selection. The error-ratio performance is elucidated not only by computer simulations, but also by offline processing using experimental signals recorded in a measurement campaign.},
keywords={},
doi={10.1587/transcom.2020EBP3108},
ISSN={1745-1345},
month={July},}
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TY - JOUR
TI - Distributed Detection of MIMO Spatial Multiplexed Signals in Terminal Collaborated Reception
T2 - IEICE TRANSACTIONS on Communications
SP - 884
EP - 892
AU - Fengning DU
AU - Hidekazu MURATA
AU - Mampei KASAI
AU - Toshiro NAKAHIRA
AU - Koichi ISHIHARA
AU - Motoharu SASAKI
AU - Takatsune MORIYAMA
PY - 2021
DO - 10.1587/transcom.2020EBP3108
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E104-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 2021
AB - Distributed detection techniques of multiple-input multiple-output (MIMO) spatially multiplexed signals are studied in this paper. This system considered employs multiple mobile stations (MSs) to receive signals from a base station, and then share their received signal waveforms with collaborating MSs. In order to reduce the amount of traffic over the collaborating wireless links, distributed detection techniques are proposed, in which multiple MSs are in charge of detection by making use of both the shared signal waveforms and its own received waveform. Selection combining schemes of detected bit sequences are studied to finalize the decisions. Residual error coefficients in iterative MIMO equalization and detection are utilized in this selection. The error-ratio performance is elucidated not only by computer simulations, but also by offline processing using experimental signals recorded in a measurement campaign.
ER -