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Empirical methods for call admission control

Authors: Raman K. Mehra; Michael Perloff;

Empirical methods for call admission control

Abstract

Effective call admission control (CAC) methods are needed to provide bandwidth on demand and meet quality of service requirements. Current methods are often excessively strict, allowing available bandwidth to go unused, and depend on accurate estimation of traffic description parameters. We formulate and test a simple method for estimating cell loss rate from discretized queue size measurements and using the estimate in admission decisions. Simulation test results show that our estimation method will improve performance of current methods by correcting for incorrect traffic parameter estimations.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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