Title :
Minimizing Interference in Satellite Communications Using Chaotic Neural Networks
Author :
Liu, Wen ; Shi, Haixiang ; Wang, Lipo
Author_Institution :
Xiangtan Univ., Xiangtan
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;
Conference_Titel :
Natural Computation, 2007. ICNC 2007. Third International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2875-5
DOI :
10.1109/ICNC.2007.473
