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
Comprendre les caractéristiques du trafic dans les communications mobiles est inestimable pour la planification, la conception et l'exploitation des réseaux cellulaires, et divers modèles de mobilité ont donc été développés pour prédire les caractéristiques du trafic. Dans cet article, la distribution du temps de séjour des cellules et la probabilité de transition dans un système cellulaire virtuel sont d'abord estimées à partir des résultats de la mesure du mouvement du taxi à l'aide du système de positionnement global (GPS) pour les amplitudes de mouvement des grandes et petites villes. Ensuite, sur la base de simulations utilisant ces estimations, les caractéristiques du trafic telles que le taux de transfert et la probabilité de blocage de canal dans un système cellulaire sont évaluées. Il a été constaté qu’une différence entre les grandes et les petites villes pouvait être observée en termes de distribution de vitesse et de probabilité de direction de déplacement, mais seulement une légère différence en termes de distribution de temps de séjour dans les cellules.
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Kazuyoshi SAITOH, Hirotoshi HIDAKA, Noriteru SHINAGAWA, Takehiko KOBAYASHI, "Vehicle Motion in Large and Small Cities and Teletraffic Characterization in Cellular Communication Systems" in IEICE TRANSACTIONS on Communications,
vol. E84-B, no. 4, pp. 805-813, April 2001, doi: .
Abstract: Understanding traffic characteristics in mobile communications is invaluable for planning, designing, and operating cellular networks, and various mobility models have therefore come to be developed to predict traffic characteristics. In this paper, cell-dwell-time distribution and transition probability in a virtual cellular system are first estimated from the results of measuring taxi motion using the Global Positioning System (GPS) for large-city and small-city ranges of motion. Then, on the basis of simulations using these estimations, traffic characteristics like handoff rate and channel blocking probability in a cellular system are evaluated. It was found that a difference between large and small cities could be observed in speed distribution and direction-of-travel probability, but only a slight difference in cell-dwell-time distribution.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e84-b_4_805/_p
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@ARTICLE{e84-b_4_805,
author={Kazuyoshi SAITOH, Hirotoshi HIDAKA, Noriteru SHINAGAWA, Takehiko KOBAYASHI, },
journal={IEICE TRANSACTIONS on Communications},
title={Vehicle Motion in Large and Small Cities and Teletraffic Characterization in Cellular Communication Systems},
year={2001},
volume={E84-B},
number={4},
pages={805-813},
abstract={Understanding traffic characteristics in mobile communications is invaluable for planning, designing, and operating cellular networks, and various mobility models have therefore come to be developed to predict traffic characteristics. In this paper, cell-dwell-time distribution and transition probability in a virtual cellular system are first estimated from the results of measuring taxi motion using the Global Positioning System (GPS) for large-city and small-city ranges of motion. Then, on the basis of simulations using these estimations, traffic characteristics like handoff rate and channel blocking probability in a cellular system are evaluated. It was found that a difference between large and small cities could be observed in speed distribution and direction-of-travel probability, but only a slight difference in cell-dwell-time distribution.},
keywords={},
doi={},
ISSN={},
month={April},}
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TY - JOUR
TI - Vehicle Motion in Large and Small Cities and Teletraffic Characterization in Cellular Communication Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 805
EP - 813
AU - Kazuyoshi SAITOH
AU - Hirotoshi HIDAKA
AU - Noriteru SHINAGAWA
AU - Takehiko KOBAYASHI
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E84-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2001
AB - Understanding traffic characteristics in mobile communications is invaluable for planning, designing, and operating cellular networks, and various mobility models have therefore come to be developed to predict traffic characteristics. In this paper, cell-dwell-time distribution and transition probability in a virtual cellular system are first estimated from the results of measuring taxi motion using the Global Positioning System (GPS) for large-city and small-city ranges of motion. Then, on the basis of simulations using these estimations, traffic characteristics like handoff rate and channel blocking probability in a cellular system are evaluated. It was found that a difference between large and small cities could be observed in speed distribution and direction-of-travel probability, but only a slight difference in cell-dwell-time distribution.
ER -