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

Author

Baglietto, Marco ; Davoli, Franco ; Marchese, Mario ; Mongelli, Maurizio

Author_Institution

Dept. of Commun., Comput. & Syst. Sci., Univ. of Genoa, Genova, Italy

Volume

5

fYear

2004

fDate

14-17 Dec. 2004

Firstpage

5016

Abstract

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.

Keywords

bandwidth allocation; feedback; neurocontrollers; optimisation; resource allocation; satellite communication; telecommunication computing; telecommunication control; neural approximation technique; neural open loop-feedback control strategies; optimization methodology; resource allocation; satellite dynamic bandwidth allocation; Channel allocation; Closed-form solution; Cost function; Equations; Fading; Open loop systems; Optimization methods; Resource management; Satellites; Telecommunication traffic;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 2004. CDC. 43rd IEEE Conference on

ISSN

0191-2216

Print_ISBN

0-7803-8682-5

Type

conf

DOI

10.1109/CDC.2004.1429601

Filename

1429601