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
Memahami ciri trafik dalam komunikasi mudah alih adalah tidak ternilai untuk merancang, mereka bentuk dan mengendalikan rangkaian selular, dan oleh itu pelbagai model mobiliti telah dibangunkan untuk meramalkan ciri trafik. Dalam makalah ini, pengedaran masa tinggal sel dan kebarangkalian peralihan dalam sistem selular maya dianggarkan pertama kali daripada hasil pengukuran pergerakan teksi menggunakan Sistem Kedudukan Global (GPS) untuk julat pergerakan bandar besar dan bandar kecil. Kemudian, berdasarkan simulasi menggunakan anggaran ini, ciri trafik seperti kadar serahan dan kebarangkalian sekatan saluran dalam sistem selular dinilai. Telah didapati bahawa perbezaan antara bandar besar dan kecil boleh diperhatikan dalam taburan kelajuan dan kebarangkalian arah perjalanan, tetapi hanya sedikit perbezaan dalam taburan masa tinggal sel.
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Salinan
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
Salinan
@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},}
Salinan
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 -