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
Os futuros sistemas de comunicação celular serão chamados a fornecer serviços multimídia (voz, dados e vídeo) para diversas plataformas de usuários (pedestres, automóveis e trens) que possuem diversas características de mobilidade. O conhecimento das características da mobilidade é essencial para planejar, projetar e operar redes de comunicação. Os dados de posição dos veículos selecionados (táxis) foram medidos usando o Sistema de Posicionamento Global em intervalos de 1 segundo. Esses dados são usados para avaliar características de mobilidade, como distribuições probabilísticas de velocidade, tempo de permanência nas células e taxa de cruzamento de células dos veículos, assumindo que as células são hipoteticamente colocadas sobre os locais dos veículos. O tempo de permanência na célula dos veículos segue uma distribuição lognormal, em vez de uma distribuição exponencial negativa convencionalmente presumida. Quando a distribuição do tempo de espera e a origem aleatória de chamadas ao longo dos loci são assumidas, as propriedades do tempo de permanência da célula e a taxa de transferência dos terminais que se comunicam nos sistemas celulares hipotéticos também são estimadas a partir dos dados medidos.
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copiar
Takehiko KOBAYASHI, Noriteru SHINAGAWA, Yoneo WATANABE, "Vehicle Mobility Characterization Based on Measurements and Its Application to Cellular Communication Systems" in IEICE TRANSACTIONS on Communications,
vol. E82-B, no. 12, pp. 2055-2060, December 1999, doi: .
Abstract: Future cellular communication systems will be called upon to provide multimedia services (voice, data, and video) for various user platforms (pedestrians, cars, and trains) that have a variety of mobility characteristics. Knowledge of mobility characteristics is essential for planning, designing and operating communication networks. The position data of selected vehicles (taxis) have been measured by using the Global Positioning System at 1-s intervals. Those data are used for evaluating mobility characteristics, such as probabilistic distributions of speed, cell dwell time, and cell crossover rate of vehicles, assuming that cells are hypothetically laid over the loci of the vehicles. The cell dwell time of vehicles is found to follow a lognormal distribution, rather than a conventionally-presumed negative exponential distribution. When the holding time distribution and random origination of calls along the loci are assumed, the properties of the cell dwell time and the handoff rate of terminals communicating in the hypothetical cellular systems are also estimated from the measured data.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e82-b_12_2055/_p
Copiar
@ARTICLE{e82-b_12_2055,
author={Takehiko KOBAYASHI, Noriteru SHINAGAWA, Yoneo WATANABE, },
journal={IEICE TRANSACTIONS on Communications},
title={Vehicle Mobility Characterization Based on Measurements and Its Application to Cellular Communication Systems},
year={1999},
volume={E82-B},
number={12},
pages={2055-2060},
abstract={Future cellular communication systems will be called upon to provide multimedia services (voice, data, and video) for various user platforms (pedestrians, cars, and trains) that have a variety of mobility characteristics. Knowledge of mobility characteristics is essential for planning, designing and operating communication networks. The position data of selected vehicles (taxis) have been measured by using the Global Positioning System at 1-s intervals. Those data are used for evaluating mobility characteristics, such as probabilistic distributions of speed, cell dwell time, and cell crossover rate of vehicles, assuming that cells are hypothetically laid over the loci of the vehicles. The cell dwell time of vehicles is found to follow a lognormal distribution, rather than a conventionally-presumed negative exponential distribution. When the holding time distribution and random origination of calls along the loci are assumed, the properties of the cell dwell time and the handoff rate of terminals communicating in the hypothetical cellular systems are also estimated from the measured data.},
keywords={},
doi={},
ISSN={},
month={December},}
Copiar
TY - JOUR
TI - Vehicle Mobility Characterization Based on Measurements and Its Application to Cellular Communication Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 2055
EP - 2060
AU - Takehiko KOBAYASHI
AU - Noriteru SHINAGAWA
AU - Yoneo WATANABE
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E82-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 1999
AB - Future cellular communication systems will be called upon to provide multimedia services (voice, data, and video) for various user platforms (pedestrians, cars, and trains) that have a variety of mobility characteristics. Knowledge of mobility characteristics is essential for planning, designing and operating communication networks. The position data of selected vehicles (taxis) have been measured by using the Global Positioning System at 1-s intervals. Those data are used for evaluating mobility characteristics, such as probabilistic distributions of speed, cell dwell time, and cell crossover rate of vehicles, assuming that cells are hypothetically laid over the loci of the vehicles. The cell dwell time of vehicles is found to follow a lognormal distribution, rather than a conventionally-presumed negative exponential distribution. When the holding time distribution and random origination of calls along the loci are assumed, the properties of the cell dwell time and the handoff rate of terminals communicating in the hypothetical cellular systems are also estimated from the measured data.
ER -