This paper describes a new method to estimate traffic load of communication nodes, such as switching systems. The new method uses the system identification, which is often used in designing control systems of real systems. First, this paper makes clear that, under certain conditions, the input and output relation of a communication system, which is composed of a number of communication nodes, is formulated into a dynamic state equation that is classed as a time-invariant, single-input single-output, discrete-time system. Next, it is explained that traffic load information is estimated by identifying the dynamic state equations of the communication system. Then, the traffic load estimator is synthesized using the system identification in it. Finally, it is clarified by computation simulations that the proposed method is very applicable in estimating the traffic load of each communication node.
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Makoto TAKANO, Naofumi NAGAI, "Traffic Load Estimation Based on System Identification" in IEICE TRANSACTIONS on Communications,
vol. E77-B, no. 3, pp. 378-385, March 1994, doi: .
Abstract: This paper describes a new method to estimate traffic load of communication nodes, such as switching systems. The new method uses the system identification, which is often used in designing control systems of real systems. First, this paper makes clear that, under certain conditions, the input and output relation of a communication system, which is composed of a number of communication nodes, is formulated into a dynamic state equation that is classed as a time-invariant, single-input single-output, discrete-time system. Next, it is explained that traffic load information is estimated by identifying the dynamic state equations of the communication system. Then, the traffic load estimator is synthesized using the system identification in it. Finally, it is clarified by computation simulations that the proposed method is very applicable in estimating the traffic load of each communication node.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e77-b_3_378/_p
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@ARTICLE{e77-b_3_378,
author={Makoto TAKANO, Naofumi NAGAI, },
journal={IEICE TRANSACTIONS on Communications},
title={Traffic Load Estimation Based on System Identification},
year={1994},
volume={E77-B},
number={3},
pages={378-385},
abstract={This paper describes a new method to estimate traffic load of communication nodes, such as switching systems. The new method uses the system identification, which is often used in designing control systems of real systems. First, this paper makes clear that, under certain conditions, the input and output relation of a communication system, which is composed of a number of communication nodes, is formulated into a dynamic state equation that is classed as a time-invariant, single-input single-output, discrete-time system. Next, it is explained that traffic load information is estimated by identifying the dynamic state equations of the communication system. Then, the traffic load estimator is synthesized using the system identification in it. Finally, it is clarified by computation simulations that the proposed method is very applicable in estimating the traffic load of each communication node.},
keywords={},
doi={},
ISSN={},
month={March},}
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TY - JOUR
TI - Traffic Load Estimation Based on System Identification
T2 - IEICE TRANSACTIONS on Communications
SP - 378
EP - 385
AU - Makoto TAKANO
AU - Naofumi NAGAI
PY - 1994
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E77-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 1994
AB - This paper describes a new method to estimate traffic load of communication nodes, such as switching systems. The new method uses the system identification, which is often used in designing control systems of real systems. First, this paper makes clear that, under certain conditions, the input and output relation of a communication system, which is composed of a number of communication nodes, is formulated into a dynamic state equation that is classed as a time-invariant, single-input single-output, discrete-time system. Next, it is explained that traffic load information is estimated by identifying the dynamic state equations of the communication system. Then, the traffic load estimator is synthesized using the system identification in it. Finally, it is clarified by computation simulations that the proposed method is very applicable in estimating the traffic load of each communication node.
ER -