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生物智能型算法在信道分配策略中的应用
Dynamic Channel Assignment Arithmetic Based on Evolutionary Arithmetic
【摘要】 由于同步轨道卫星通信的传输时延较长,因此该类卫星对动态信道分配算法的延时性能非常敏感。针对宽带多媒体通信卫星的动态信道分配问题建立数学模型,并且使用生物智能型算法进行求解。仿真结果表明,与传统的分支定界法相比,采用生物智能型算法求解动态信道分配问题,其延时性能提高47%,并能得到更为高效的信道分配方案。
【Abstract】 Because of the long transmission delay for GEO communication satellites,the performance of dynamic channel assignment(DCA) is sensitive to the time of DCA algorithm.A mathematical model was firstly established for DCA of a new generation of broad-band multimedia communication satellite.Then,a novel approach for DCA based on evolutionary arithmetic(EA) was proposed.The simulation results demonstrate that this EA method reduce the system delay 47% and offer more efficient channel assignment strategy than that of the classic method.
- 【文献出处】 中国空间科学技术 ,Chinese Space Science and Technology , 编辑部邮箱 ,2008年05期
- 【分类号】V474.21
- 【被引频次】1
- 【下载频次】78