An efficient call simulation method for SPC switching systems, event table-driven real-time simulation approach has been proposed in this paper.
本文提出一种程控交换机呼叫模拟的有效方法——事件表驱动实时模拟法。
This paper brings the fuzzy neural network algorithms into the call admission control in ATM networks. The simulation result shows that it has better effect than usual algorithms.
本文采用模糊神经网络算法对AT M网络进行连接接纳控制，仿真结果表明它比传统的算法有更好的效果。
The simulation results show that this method can raise the call processing capability in real time and raise the utilization of the network resources in the meanwhile.
仿真结果表明，该方法提高了网络对呼叫的实时处理能力，又增加了网络资源的利用率。
Compared to the queuing model, this simulation model is more practical and suits the widespread request of the call center better, and it has very good flexibility and extension.
本文的仿真模型比排队模型进一步贴近于实际，更适合于呼叫中心广泛的要求，具有较好的灵活性和扩展性。
Simulation results show that our algorithm can avoid link congestion and reduce the call blocking probabilities.
结果表明，该算法能较好地避免链路拥塞，同时具有较低的呼叫阻塞率。
The proposed approach employed a time-driven method to simulate occurrence of discrete-events, using Remote Procedure Call (RPC) to describe the interaction between simulation members.
仿真采用时间步进的推进方式，运用远程过程调用（RPC）分布调用机制实现仿真成员之间的互操作。
The simulation result based NS-2 simulation software indicates that the algorithm can not only lighten the network burden, but also reduce the call blocking rate.
利用NS-2仿真软件对该算法进行仿真，结果表明，该算法不仅能减轻网络负担，还能降低呼叫阻塞率。
The performance of the proposed controller is evaluated by simulation of call admission control.
以呼叫管理控制为例，评估这种神经网络控制器的性能，并给出了模拟结果。
If the system has no idle resource in originating a handover call, the queueing mechnanism is adopted . From the results of simulation, the improvement in the blocking probabilities of…
通过仿真表明，该切换策略相对于采用固定资源预留的切换策略，在轻负荷的条件下对话音呼叫的阻塞概率有一定的改善。
Simulation results show this scheme increases the call success rate and decreases the network cost.
显示，该方法提高了调用成功率，减少了网络费用。
Simulation results show this scheme increases the call success rate and decreases the network cost.
显示，该方法提高了调用成功率，减少了网络费用。
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