Title :
Research of frequency assignment based on genetic algorithm
Author :
Chen Hao ; Wang Guodong
Author_Institution :
EMC Lab., Beijing Jiao Tong Univ., Beijing, China
Abstract :
With the rapid development of communication technology, how to achieve effective frequency assignment to improve the spectrum efficiency has become a main issue in spectrum management. In this paper, a four level forecast model is presented to judge the compatibility between two radios. The genetic algorithm is applied in frequency assignment and the construction procedure of the algorithm is given. Symbol encoding method is used in the algorithm, and roulette selection, single-point crossover and simple mutation are used as genetic manipulation. In order to improve the performance of the algorithm, the parameters of the algorithm are optimized based on statistics method. Finally, the computer simulation shows the validity of the algorithm, and performance of the algorithm is greatly improved after optimization.
Keywords :
encoding; frequency allocation; genetic algorithms; frequency assignment; genetic algorithms; roulette selection; single-point crossover; spectrum efficiency; spectrum management; symbol encoding; Communications technology; Computer simulation; Encoding; Frequency; Genetic algorithms; Genetic mutations; Optimization methods; Predictive models; Radio spectrum management; Statistics; Four Level Forecast Model; Frequency Assignment; Genetic Algorithm;
Conference_Titel :
Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, 2009 3rd IEEE International Symposium on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4076-4
DOI :
10.1109/MAPE.2009.5355718