Evolutionary genetic DCA for resource management in mobile satellite systems

Muhamad Asvial; B. G. Evans; R. Tafazolli

doi:10.1049/el:20020844

Evolutionary genetic DCA for resource management in mobile satellite systems

Muhamad Asvial, B. G. Evans, R. Tafazolli

Department of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

15 Citations (Scopus)

Abstract

A new algorithm is proposed as a robust method to increase the performance of the dynamic channel allocation (DCA) in mobile satellite (e.g. S-UMTS) system networks. The performance evaluation shows that the proposed model outperforms conventional DCA schemes in terms of the traffic carried per channel and the call blocking probability.

Original language	English
Pages (from-to)	1213-1214
Number of pages	2
Journal	Electronics Letters
Volume	38
Issue number	20
DOIs	https://doi.org/10.1049/el:20020844
Publication status	Published - 26 Sept 2002

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abstract = "A new algorithm is proposed as a robust method to increase the performance of the dynamic channel allocation (DCA) in mobile satellite (e.g. S-UMTS) system networks. The performance evaluation shows that the proposed model outperforms conventional DCA schemes in terms of the traffic carried per channel and the call blocking probability.",

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AB - A new algorithm is proposed as a robust method to increase the performance of the dynamic channel allocation (DCA) in mobile satellite (e.g. S-UMTS) system networks. The performance evaluation shows that the proposed model outperforms conventional DCA schemes in terms of the traffic carried per channel and the call blocking probability.

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Evolutionary genetic DCA for resource management in mobile satellite systems

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