Dynamic Leveling Scheme for Traffic Prediction in Satellite Networks

SungIl LEE  JaeSung LIM  Jae-Joon LEE  

IEICE TRANSACTIONS on Communications   Vol.E94-B   No.6   pp.1785-1787
Publication Date: 2011/06/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.E94.B.1785
Print ISSN: 0916-8516
Type of Manuscript: LETTER
Category: Satellite Communications
satellite communication,  traffic prediction,  Demand Assigned Multiple Access (DAMA),  

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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.