DocumentCode :
759826
Title :
Adaptive call admission control in circuit-switched networks
Author :
Gokbayrak, Kagan ; Cassandras, Christos G.
Author_Institution :
Dept. of Manuf. Eng., Boston Univ., Brookline, MA, USA
Volume :
47
Issue :
6
fYear :
2002
fDate :
6/1/2002 12:00:00 AM
Firstpage :
1004
Lastpage :
1015
Abstract :
We consider threshold-based admission control policies for traffic in fixed-route circuit-switched networks, and develop a scheme for adjusting the threshold parameters online so that, as operating conditions in the network change, the thresholds "adapt" with the objective of minimizing a weighted sum of call blocking probabilities. An algorithm for estimating online the sensitivity of the call blocking metric with respect to thresholds is presented. The formal optimization problem over the set of discrete threshold parameters is solved by means of a conversion to an optimization problem over a set of auxiliary real-valued parameters. Such threshold-based policies, though conservative at low traffic rates, have the advantage of being simple to implement, distributed in nature, adaptive, and not requiring explicit distributional modeling assumptions. Numerical results included in the paper indicate that at higher traffic rates these simple policies yield the same performance as more complex and less flexible call admission schemes
Keywords :
adaptive control; optimisation; perturbation techniques; sensitivity analysis; telecommunication congestion control; telecommunication networks; call admission control; call blocking; circuit-switched networks; perturbation analysis; sensitivity estimation; stochastic optimization; threshold parameters; Adaptive control; Admission control; Call admission control; Circuits; Communication system traffic control; Contracts; Intelligent networks; Programmable control; Routing; Traffic control;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.2002.1008364
Filename :
1008364
Link To Document :
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