摘要
为分析给定卫星星座通信系统的容量,依据不同地区时差导致的通信流量差异,建立关于时间的通信流量模型。以覆盖全球的中轨卫星星座通信系统为例,采用负载均衡路由算法,针对单星到多星的业务类型,分析卫星一个回归周期内不同时间切片下的星座系统容量,并探究星间链路容量约束对系统容量的影响。通过建立卫星流量的时间模型,容量分析的结果更加符合实际;与卫星等流量模型仿真对比,印证基于时间的流量模型的合理性和有效性;应用离散化的时间片,降低容量计算的复杂度。
Aiming to calculate the system capacity of a given satellite constellation, a time-varying traffic model based on varying traffic with varying time zone was proposed. Focusing on a MEO satellite constellation with global coverage, using a load balanced routing algorithm, the system capacity in different time slices was analyzed and the effect of in-ter-satellite link (ISL) capacity on the system capacity was investigated. The time-varying traffic model makes analysis more reliable and effective via comparison with equal traffic model. Application of time slices reduces complexity of calculation.
出处
《通信学报》
EI
CSCD
北大核心
2017年第A01期193-199,共7页
Journal on Communications
基金
国家高技术研究发展计划("863"计划)基金资助项目(No.2012AA01A502)
装备预研领域基金资助项目(No.61405180503)
四川省科技支撑计划基金资助项目(No.2014GZX004)~~
关键词
卫星系统容量
流量模型
负载均衡路由算法
capacity of satellite communication system, traffic model, load balanced routing algorithm