In recent years, multiple-input multiple-output (MIMO) channel models for crowded areas, such as indoor offices, shops, and outdoor hotspot environments, have become a topic of significant interest. In such crowded environments, propagation paths are frequently shadowed by moving objects, such as pedestrians or vehicles. These shadowing effects can cause time variations in the delay and angle-of-arrival (AoA) characteristics of a channel. In this paper, we propose a method for modeling the shadowing effects of pedestrians in a cluster-based channel model. The proposed method uses cluster power variations to model the time-varying channel properties. We also propose a novel method for estimating the cluster power variation properties from measured data. In order to validate our proposed method, channel sounding in the 3GHz band is conducted in a cafeteria during lunchtime. The results for the K parameter, delay spreads, and AoA azimuth spreads are compared for the measured data and the channel data generated using the proposed method. The results indicate that the time-varying delay-AoA characteristics can be effectively modeled using our proposed method.
Kentaro SAITO
NTT DOCOMO INC.
Tetsuro IMAI
NTT DOCOMO INC.
Koshiro KITAO
NTT DOCOMO INC.
Yukihiko OKUMURA
NTT DOCOMO INC.
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Kentaro SAITO, Tetsuro IMAI, Koshiro KITAO, Yukihiko OKUMURA, "Cluster Power Variation Characteristics for 3GHz-Band MIMO Communication System in a Crowded Indoor Environment" in IEICE TRANSACTIONS on Communications,
vol. E99-B, no. 5, pp. 1131-1142, May 2016, doi: 10.1587/transcom.2015EBP3352.
Abstract: In recent years, multiple-input multiple-output (MIMO) channel models for crowded areas, such as indoor offices, shops, and outdoor hotspot environments, have become a topic of significant interest. In such crowded environments, propagation paths are frequently shadowed by moving objects, such as pedestrians or vehicles. These shadowing effects can cause time variations in the delay and angle-of-arrival (AoA) characteristics of a channel. In this paper, we propose a method for modeling the shadowing effects of pedestrians in a cluster-based channel model. The proposed method uses cluster power variations to model the time-varying channel properties. We also propose a novel method for estimating the cluster power variation properties from measured data. In order to validate our proposed method, channel sounding in the 3GHz band is conducted in a cafeteria during lunchtime. The results for the K parameter, delay spreads, and AoA azimuth spreads are compared for the measured data and the channel data generated using the proposed method. The results indicate that the time-varying delay-AoA characteristics can be effectively modeled using our proposed method.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2015EBP3352/_p
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@ARTICLE{e99-b_5_1131,
author={Kentaro SAITO, Tetsuro IMAI, Koshiro KITAO, Yukihiko OKUMURA, },
journal={IEICE TRANSACTIONS on Communications},
title={Cluster Power Variation Characteristics for 3GHz-Band MIMO Communication System in a Crowded Indoor Environment},
year={2016},
volume={E99-B},
number={5},
pages={1131-1142},
abstract={In recent years, multiple-input multiple-output (MIMO) channel models for crowded areas, such as indoor offices, shops, and outdoor hotspot environments, have become a topic of significant interest. In such crowded environments, propagation paths are frequently shadowed by moving objects, such as pedestrians or vehicles. These shadowing effects can cause time variations in the delay and angle-of-arrival (AoA) characteristics of a channel. In this paper, we propose a method for modeling the shadowing effects of pedestrians in a cluster-based channel model. The proposed method uses cluster power variations to model the time-varying channel properties. We also propose a novel method for estimating the cluster power variation properties from measured data. In order to validate our proposed method, channel sounding in the 3GHz band is conducted in a cafeteria during lunchtime. The results for the K parameter, delay spreads, and AoA azimuth spreads are compared for the measured data and the channel data generated using the proposed method. The results indicate that the time-varying delay-AoA characteristics can be effectively modeled using our proposed method.},
keywords={},
doi={10.1587/transcom.2015EBP3352},
ISSN={1745-1345},
month={May},}
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TY - JOUR
TI - Cluster Power Variation Characteristics for 3GHz-Band MIMO Communication System in a Crowded Indoor Environment
T2 - IEICE TRANSACTIONS on Communications
SP - 1131
EP - 1142
AU - Kentaro SAITO
AU - Tetsuro IMAI
AU - Koshiro KITAO
AU - Yukihiko OKUMURA
PY - 2016
DO - 10.1587/transcom.2015EBP3352
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E99-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2016
AB - In recent years, multiple-input multiple-output (MIMO) channel models for crowded areas, such as indoor offices, shops, and outdoor hotspot environments, have become a topic of significant interest. In such crowded environments, propagation paths are frequently shadowed by moving objects, such as pedestrians or vehicles. These shadowing effects can cause time variations in the delay and angle-of-arrival (AoA) characteristics of a channel. In this paper, we propose a method for modeling the shadowing effects of pedestrians in a cluster-based channel model. The proposed method uses cluster power variations to model the time-varying channel properties. We also propose a novel method for estimating the cluster power variation properties from measured data. In order to validate our proposed method, channel sounding in the 3GHz band is conducted in a cafeteria during lunchtime. The results for the K parameter, delay spreads, and AoA azimuth spreads are compared for the measured data and the channel data generated using the proposed method. The results indicate that the time-varying delay-AoA characteristics can be effectively modeled using our proposed method.
ER -