Minimizing interference in satellite communications using transiently chaotic neural networks

Authors:
Wen Liu;Lipo Wang
Affiliations:
College of Information Engineering, Xiangtan University, Xiangtan, Hunan, China and School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, 50 Nanyang Avenue, ...;College of Information Engineering, Xiangtan University, Xiangtan, Hunan, China and School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, 50 Nanyang Avenue, ...
Venue:
Computers & Mathematics with Applications
Year:
2009

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Abstract

The frequency assignment problem (FAP) in satellite communications is solved 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, we construct a TCNN consisting of NxM neurons. The performance of the TCNN is demonstrated through solving a set of benchmark problems, where the TCNN finds comparative if not better solutions as compared to the existing algorithms.