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通过对集中控制、状态相关控制方式的动态无级交换网进行模型化,提出了一种求解电路群状态概率的精确算法——卷积算法.算法的关键是一个全局状态相关到达转换为局部状态依存输入过程的公式.本方法的计算结果不仅可以方便地求得网中任意端对间各种阻塞概率以及电路群的效率等性能分析参数,而且还可以仅对所关心的端对进行局部评价,从而避免了由状态转移概率矩阵导出系统稳态概率的复杂计算.
By modeling the dynamic stepless exchange network with centralized control and state-dependent control, a precise algorithm to solve the state probability of circuit group-convolution algorithm is proposed. The key of the algorithm is that a global state-related arrival transforms into a local state Dependent on the input process of the formula.The calculation results of this method can not only be easily obtained in the network between any end-to-end variety of blocking probability and circuit group efficiency and other performance analysis parameters, but also can only be concerned about the end of the partial evaluation , Which avoids the complicated calculation of deriving the steady state probability of the system from the state transition probability matrix.