Minimizing Interference in Satellite Communications Using Chaotic Neural Networks

Authors:
Wen Liu;Haixiang Shi;Lipo Wang
Affiliations:
Xiangtan University, China/ Nanyang Technological University, Singapore;Xiangtan University, China/ Nanyang Technological University, Singapore;Xiangtan University, China/ Nanyang Technological University, Singapore
Venue:
ICNC '07 Proceedings of the Third International Conference on Natural Computation - Volume 02
Year:
2007

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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 anN-carrier-M-segment FAP problem, the TCNN consists of N 脳 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.