Research on Implement Mechanism on an Active NGN Service Pricing Decision Support System

ZHANG Jin-yu; Liu Li; GE Hong-hui

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Research on Implement Mechanism on an Active NGN Service Pricing Decision Support System

更新时间：2025-07-16

- Research on Implement Mechanism on an Active NGN Service Pricing Decision Support System
- Acta Electronica Sinica Vol. 35, Issue 2, Pages: 256-260(2007)
- 作者机构：
  
  1. 北京交通大学计算机学院,北京,100044
  2. 新泽西理工计算机学院,内瓦克,07102
  3. 中国人民银行清算总中心,北京,100097
  4. 北京交通大学计算机学院北京,100044
  5. 新泽西理工计算机学院内瓦克,07102
  6. 中国人民银行清算总中心北京,100097
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP393.07
- Published：2007
- 稿件说明：
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ZHANG Jin-yu, Liu Li, GE Hong-hui. Research on Implement Mechanism on an Active NGN Service Pricing Decision Support System[J]. Acta Electronica Sinica, 2007, 35(2): 256-260.
DOI：

ZHANG Jin-yu, Liu Li, GE Hong-hui. Research on Implement Mechanism on an Active NGN Service Pricing Decision Support System[J]. Acta Electronica Sinica, 2007, 35(2): 256-260. DOI：

摘要

在ECPR的网络业务定价算法构架的基础上

考虑了NGN网络运营环境中网络KQI、市场KQI和政策KQI的作用

提出了一个能适用于NGN的优化的业务定价算法、一个用于预测价格对NGN运营环境中网络KQI、市场KQI和网络KQI影响的评价机制、一个根据实际值和预测值之差来调整定价和评价算法的参数的基于神经网络的自适应调节机制.仿真实验结果显示本文的价格决策支持机制比基于ECPR的优越.

Abstract

Based on the service pricing algorithm architecture of ECPR

we present a optimal one by adding the impact of network KQI

market KQI and policy KQI of NGN

a evaluating mechanism to predict the price reaction to these KQIs

a neural-network-based adaptive adjusting mechanism to define the parameters of pricing formula and predictive formula based on the difference between real KQIs and predictive KQIs.The result of simulation experiment shows that our pricing algorithm is better than ECPR’s.

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