We propose and analyze a traffic model of a cellular radio communication network with an arbitrary cell connection and arbitrary probabilistic movement of mobiles between the cells. Our analytic model consists of birth-and-death processes for individual cells connected by the numerical adjustment of hand-off rates. This approximation is validated by simulation. We evaluate the probabilities of the immediate loss, the completion, and the forced termination during hand-off for an arbitrary call in the network. Our numerical examples reveal the cases in which the increase in the generation rate of new calls results in the increase in the loss probability without affecting much the probability of forced termination in a limited service area.
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Hideaki TAKAGI, Ken-ichi SAKAMAKI, Tohru MIYASHIRO, "Call Loss and Forced Termination Probabilities in Cellular Radio Communication Networks with Non-Uniform Traffic Conditions" in IEICE TRANSACTIONS on Communications,
vol. E82-B, no. 9, pp. 1496-1504, September 1999, doi: .
Abstract: We propose and analyze a traffic model of a cellular radio communication network with an arbitrary cell connection and arbitrary probabilistic movement of mobiles between the cells. Our analytic model consists of birth-and-death processes for individual cells connected by the numerical adjustment of hand-off rates. This approximation is validated by simulation. We evaluate the probabilities of the immediate loss, the completion, and the forced termination during hand-off for an arbitrary call in the network. Our numerical examples reveal the cases in which the increase in the generation rate of new calls results in the increase in the loss probability without affecting much the probability of forced termination in a limited service area.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e82-b_9_1496/_p
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@ARTICLE{e82-b_9_1496,
author={Hideaki TAKAGI, Ken-ichi SAKAMAKI, Tohru MIYASHIRO, },
journal={IEICE TRANSACTIONS on Communications},
title={Call Loss and Forced Termination Probabilities in Cellular Radio Communication Networks with Non-Uniform Traffic Conditions},
year={1999},
volume={E82-B},
number={9},
pages={1496-1504},
abstract={We propose and analyze a traffic model of a cellular radio communication network with an arbitrary cell connection and arbitrary probabilistic movement of mobiles between the cells. Our analytic model consists of birth-and-death processes for individual cells connected by the numerical adjustment of hand-off rates. This approximation is validated by simulation. We evaluate the probabilities of the immediate loss, the completion, and the forced termination during hand-off for an arbitrary call in the network. Our numerical examples reveal the cases in which the increase in the generation rate of new calls results in the increase in the loss probability without affecting much the probability of forced termination in a limited service area.},
keywords={},
doi={},
ISSN={},
month={September},}
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TY - JOUR
TI - Call Loss and Forced Termination Probabilities in Cellular Radio Communication Networks with Non-Uniform Traffic Conditions
T2 - IEICE TRANSACTIONS on Communications
SP - 1496
EP - 1504
AU - Hideaki TAKAGI
AU - Ken-ichi SAKAMAKI
AU - Tohru MIYASHIRO
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E82-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 1999
AB - We propose and analyze a traffic model of a cellular radio communication network with an arbitrary cell connection and arbitrary probabilistic movement of mobiles between the cells. Our analytic model consists of birth-and-death processes for individual cells connected by the numerical adjustment of hand-off rates. This approximation is validated by simulation. We evaluate the probabilities of the immediate loss, the completion, and the forced termination during hand-off for an arbitrary call in the network. Our numerical examples reveal the cases in which the increase in the generation rate of new calls results in the increase in the loss probability without affecting much the probability of forced termination in a limited service area.
ER -