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Dynamic Leveling Scheme for Traffic Prediction in Satellite Networks

SungIl LEE, JaeSung LIM, Jae-Joon LEE

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Summary :

We propose a new resource prediction method for the Demand Assigned Multiple Access (DAMA) scheme in satellite networks. Inaccurate prediction of future traffic causes degradation of QoS and utilization due to the long delay in satellite networks. The Dynamic Leveling Scheme (DLS) use a leveling method to modify its prediction to a discrete one to change the precision of the prediction result. This new scheme has two features: 1) It enhances the probability of successful prediction and 2) it can be applied to any type of existing prediction method. Simulations show enhanced utilization and performance of the satellite link.

Publication
IEICE TRANSACTIONS on Communications Vol.E94-B No.6 pp.1785-1787
Publication Date
2011/06/01
Publicized
Online ISSN
1745-1345
DOI
10.1587/transcom.E94.B.1785
Type of Manuscript
LETTER
Category
Satellite Communications

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