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

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.