NDLI: A general CAC approach using novel ant algorithm training based neural network

Content Provider	IEEE Xplore Digital Library
Author	Shenghong Li Zemin Liu
Copyright Year	1999
Description	Author affiliation: Sch. of Telecommun., Beijing Univ. of Posts & Telecommun., China (Shenghong Li)
Abstract	We propose a neural network based approach for call admission control (CAC), which is applicable to very general traffic. In our approach, a feedforward neural network is used to predict whether a new call can be accepted. The input vector of the neural network consists of a set of data reflecting the first and second-order statistical properties of the input aggregate stream, and its dimension is independent of the number of traffic classes. In addition, we give a novel ant algorithm to train the neural network. Unlike the backpropagation (BP) algorithm often used, our training algorithm can realize global optimization. Simulations show the effectiveness of our approach.
Starting Page	1885
Ending Page	1888
File Size	403942
Page Count	4
File Format	PDF
ISBN	0780355296
ISSN	10987576
DOI	10.1109/IJCNN.1999.832668
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-07-10
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Communication system traffic control Telecommunication traffic Aggregates Traffic control Feedforward neural networks Quality of service Call admission control Intelligent networks Mechanical factors
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Call admission control in ATM networks based on evolutionary neural networks

Neural network methods with traffic descriptor compression for call admission control

Neural call admission control through virtual links estimates

A novel neural estimator for call admission control and buffer design in ATM network

Neural-network-based call admission control in ATM networks with heterogeneous arrivals

A novel hierarchical joint call admission control-HJCAC for multi-service heterogeneous wireless networks

A neural network based ATM call admission controller for multiple service classes with different QoS

Fairness optimization of thinning Call Admission Control in wireless networks

CAC-RD: A Call Admission Control for UMTS Networks

A general CAC approach using novel ant algorithm training based neural network

Similar Documents

Call admission control in ATM networks based on evolutionary neural networks

Neural network methods with traffic descriptor compression for call admission control

Neural call admission control through virtual links estimates

A novel neural estimator for call admission control and buffer design in ATM network

Neural-network-based call admission control in ATM networks with heterogeneous arrivals

A novel hierarchical joint call admission control-HJCAC for multi-service heterogeneous wireless networks

A neural network based ATM call admission controller for multiple service classes with different QoS

Fairness optimization of thinning Call Admission Control in wireless networks

CAC-RD: A Call Admission Control for UMTS Networks

A general CAC approach using novel ant algorithm training based neural network