Minimizing Interference in Satellite Communications Using Chaotic Neural Networks

Author

Liu, Wen ; Shi, Haixiang ; Wang, Lipo

Author_Institution

Xiangtan Univ., Xiangtan

Volume

2

fYear

2007

Firstpage

441

Lastpage

444

Abstract

We solve the frequency assignment problem (FAP) in satellite communications with transiently chaotic neural networks (TCNN). The objective of this optimization problem is to minimize cochannel interference between two satellite systems by rearranging the frequency assignments. For an N-carrier-M-segment FAP problem, the TCNN consists of N x M neurons. The performance of the TCNN is demonstrated through solving a set of benchmark problems, where the TCNN finds comparative if not better solutions compared to the existing algorithms.

Keywords

chaotic communication; cochannel interference; inference mechanisms; neural nets; satellite communication; telecommunication computing; cochannel interference; frequency assignment problem; minimizing interference; satellite communications; satellite systems; transiently chaotic neural networks; Chaotic communication; Computational modeling; Financial advantage program; Frequency diversity; Interference; Neural networks; Neurons; Satellite broadcasting; Satellite communication; Wireless communication;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation, 2007. ICNC 2007. Third International Conference on

Conference_Location

Haikou

Print_ISBN

978-0-7695-2875-5

Type

conf

DOI

10.1109/ICNC.2007.473

Filename

4344391