Presentation	1996/7/19 Study on Cell-loss Rate Estimations in ATM Networks for Call Admission Control Masao MASUGI,
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Abstract(in English)	This paper proposes a new cell loss rate estimation method for the real time call admission control (CAC) in ATM networks. A neural network based on the general technique of Kalman filters was employed to shorten the optimizirig process. Cell loss rates data calculated by the nonparametric method were adapted to optimize the three layer perceptron. By adjusting the connection strength between neurons in the model, cell loss rates can be effectively derived from average cell rates and peak cell rates in the ATM networks. Evaluation results suggest that proposed method is useful for high-speed ATM CAC in multimedia traffic environments.
Keyword(in Japanese)	(See Japanese page)
Keyword(in English)	ATM / CAC / Cell loss rate / Neural network / Kalman filter
Paper #	IN96-40
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Conference Information
Committee	IN
Conference Date	1996/7/19(1days)
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Paper Information
Registration To	Information Networks (IN)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Study on Cell-loss Rate Estimations in ATM Networks for Call Admission Control
Sub Title (in English)
Keyword(1)	ATM
Keyword(2)	CAC
Keyword(3)	Cell loss rate
Keyword(4)	Neural network
Keyword(5)	Kalman filter
1st Author's Name	Masao MASUGI
1st Author's Affiliation	NTT Telecommunication Networks Laboratories()
Date	1996/7/19
Paper #	IN96-40
Volume (vol)	vol.96
Number (no)	165
Page	pp.pp.-
#Pages	6
Date of Issue