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

作　　者：闫忠文[1,2] 卜天[1] 张乃通[1] 

机构地区：[1]哈尔滨工业大学通信技术研究所,哈尔滨150001 [2]中国空间技术研究院,北京100094

出　　处：《中国空间科学技术》2008年第5期32-38,共7页Chinese Space Science and Technology

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。Because of the long transmission delay for of dynamic channel assignment （DCA） is sensitive to the GEO communication satellites, the performance 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.

关 键 词：生物智能型算法 动态信道分配 宽带多媒体 通信卫星 

分 类 号：TN929.533[电子电信—通信与信息系统] Q-0[电子电信—信息与通信工程]