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Satellite dynamic bandwidth allocation by neural open loop-feedback control strategies

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4 Author(s)
Baglietto, M. ; Dept. of Commun., Comput. & Syst. Sci., Univ. of Genoa, Genova, Italy ; Davoli, Franco ; Marchese, Mario ; Mongelli, Maurizio

In this paper, a novel optimization methodology is investigated to optimize the resource allocation in a satellite system where variations of fading conditions are added to those of traffic load. A neural approximation technique is studied to exploit on tine optimal reallocation laws, as functions of the state of the network. No closed-form expressions for the system dynamic equations and the functional cost are needed. Simulation results show how the proposed technique outperms two other optimization strategies, based on a certainty equivalent assumption and on the application of perturbation analysis, respectively.

Published in:

Decision and Control, 2004. CDC. 43rd IEEE Conference on  (Volume:5 )

Date of Conference:

14-17 Dec. 2004

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