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Call admission control for reducing dropped calls in code division multiple access (CDMA) cellular systems

Authors: Yue Ma 0038; James J. Han; Kishor S. Trivedi;

Call admission control for reducing dropped calls in code division multiple access (CDMA) cellular systems

Abstract

Call admission control algorithms that reduce dropped calls in CDMA cellular systems are discussed in this paper. The capacity of a CDMA system is confined by the interference of users from both inside and outside of the target cell. Earlier algorithms for call admission control have been based on the effective traffic load for the target cell if one call is accepted. These algorithms ignore the interference effect of the to-be-accepted call on the neighboring cells. In our algorithms, the call admission decision is based on the effective traffic loads for both the target cell and the neighboring cells. In addition, to prioritize handoff calls, we also introduce the idea of a soft guard channel, which reserves some traffic load exclusively for handoff calls. Stochastic reward net (SRN) models are constructed to compare the performance of the algorithms. The numerical results show that our algorithms can significantly reduce the dropped calls with a price of increasing the blocked calls. To show the potential gain due to our algorithms, we introduce two new metrics: the increased blocking ratio for our algorithms and the increased dropping ratio for the conventional algorithms. From the numerical results, it is shown that our algorithms can reduce the dropped calls significantly while the blocked calls are increased at a relatively small rate under both homogeneous and hot spot traffic loads.

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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!
16
Average
Top 10%
Top 10%
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