在移动通信中，移动性建模技术可以广泛用于移动性管理、无线资源管理、移动切换、话务分析等不同方面。
In mobile communications, mobility modeling is involved in many aspects, such as mobility management, radio resource management, handover, traffic analysis, etc.
分析了TMN系统中话务数据的特点，设计了一种新的数据存储与快速查询实现方案，并给出了性能对比测试的结果。
This paper analyzes the characteristics of phone-data in TMN-system, designs a new plan to store data and realize quick-query, and also gives the result of performance test.
在给定的条件下，为无级电路交换网的话务性能分析提出了一种新的算法。
Given the conditions supposed in the paper, a new algorithm for the performance analysis of the non-hierarchical circuit switching network is proposed.
从编码理论和话务理论出发，分析了三值CD MA移动通信系统的系统容量。
In this paper, the analysis of ternary CDMA cellular mobile communication system capacity is based on coding theory and telephone traffic theory.
分析了软交换与PSTN在话务特性上的区别，建立了软交换的话务模型。
Based on the analysis of the difference between Softswitch and PSTN, this paper introduced a traffic model of Softswitch.
最后推导出软交换话务量计算的数学公式，为软交换系统的分析与设计提供了理论上的依据。
The formula of calculating Softswitch traffic was deduced, provided the theoretical bases for the designing and analysis of a Softswitch system.
西门子话务测量存在一定的特殊性，着重阐述西门子智能网用户的话务统计方法，为话务统计分析人员提供参考。
SIEMENS traffic measurement has some particularity, SIEMENS smart network subscriber traffic statistical method is emphasized for the reference of traffic statistics analyzes.
之后分析彩铃话务量占全网话务量比例，来验证新模型的正确性。
Afterwards analyses the Color Ring telephone traffic percentage of total to verify the correctness of the new model.
通过对SC呼叫中心关键环节客户满意的理论研究和实证研究，系统地分析了各“约束点”并提出相应的策略，包括运营组织环节提高接通率的话务预测新方法和技能调整策略；
According to the study of the theory and empirical research, to the key section of SC call center, the author has systematic analysis of the"restraint point"and brings up the corresponding strategy.
而传统的网络话务量数据分析主要关注的是当前交换机话务分布情况，对历史数据的分析和将来趋势的预测比较少。
However, traditional traffic analysis methods pay attention to current status of network and deal with few of historical or future data.
而传统的网络话务量数据分析主要关注的是当前交换机话务分布情况，对历史数据的分析和将来趋势的预测比较少。
However, traditional traffic analysis methods pay attention to current status of network and deal with few of historical or future data.
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