Adaptive Bandwidth Allocation for Multi-Media LEO Satellite Systems

Author

Yan, Dong ; Lin, Huang ; Xiaoyan, Wang ; Zailu, Huang

Author_Institution

Dept. of Electron. & Inf. Eng., Huazhong Univ. of Sci. & Technol.

fYear

2006

fDate

22-24 Sept. 2006

Firstpage

1

Lastpage

4

Abstract

Moving from single service systems to multiple services systems raises new challenges in multi-media LEO communication networks. Particularly, bandwidth allocation becomes more crucial for efficient use of wireless resources. In this paper, an adaptive bandwidth allocation method is presented. The approach is based on the fact that the bandwidth of a multimedia call is alterable in LEO systems and the bandwidth allocation problem is formulated as a constrained nonlinear optimization problem which aims at maximizing the satisfaction degree of the system. A genetic algorithm is developed to solve the optimization problem. Simulations have been outlined and the conformance to QoS parameters for the proposed approach has been verified

Keywords

bandwidth allocation; genetic algorithms; mobile satellite communication; multimedia communication; quality of service; QoS; adaptive bandwidth allocation; constrained nonlinear optimization problem; genetic algorithm; multi-media LEO satellite systems; multiple services systems; satellite mobile communication; single service systems; Artificial satellites; Bandwidth; Channel allocation; Constraint optimization; Customer satisfaction; Genetic algorithms; Low earth orbit satellites; Mobile communication; Multimedia communication; Multimedia systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing, 2006. WiCOM 2006.International Conference on

Conference_Location

Wuhan

Print_ISBN

1-4244-0517-3

Type

conf

DOI

10.1109/WiCOM.2006.347

Filename

4149524