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基于神经网络的UTRAN网络质量综合评价
引用本文:徐海东,李冶文,江峰,宋俊德.基于神经网络的UTRAN网络质量综合评价[J].北京邮电大学学报,2005,28(4):41-44.
作者姓名:徐海东  李冶文  江峰  宋俊德
作者单位:中国移动通信集团公司,网管中心,北京,100032;北京邮电大学,电子工程学院,北京,100876;中国移动通信集团公司,网管中心,北京,100032;北京邮电大学,电子工程学院,北京,100876
摘    要:为了评价3G无线网络UTRAN的运行质量,给出了3G无线网络UTRAN质量用户感知关键指标, 提出了利用基于前向单隐层BP神经网络方法的UTRAN网络质量综合评价模型. 该模型采用模糊综合评价算法构造训练样本集. 对比模糊综合评价算法对3G试验测试数据和该模型的评价结果可以看出,该模型能稳定、一致、可重复地评价UTRAN网络质量.

关 键 词:3G无线网络质量  BP神经网络  评价模型
文章编号:1007-5321(2005)04-0041-04
收稿时间:2005-10-15

3G UTRAN Quality Evaluation Based on Neural Network
XU Hai-dong,LI Ye-wen,JIANG Feng,SONG Jun-de.3G UTRAN Quality Evaluation Based on Neural Network[J].Journal of Beijing University of Posts and Telecommunications,2005,28(4):41-44.
Authors:XU Hai-dong  LI Ye-wen  JIANG Feng  SONG Jun-de
Affiliation:1Center of Network Management, China Mobile Communication Corporation, Beijing 100032, China; 2School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
Abstract:A set of key performance indicator of UMTS terrestrial radio access network (UTRAN) running quality was presented to evaluate the running quality of 3G UTRAN. Meanwhile, an evaluating model based on BP neural network was proposed to evaluate the 3G UTRAN running quality. The fuzzy evaluating method was used to construct training data. It is resulted by the fuzzy evaluating method, that the model will be able to evaluate the UTRAN running quality very well.
Keywords:3G UMTS terrestrial radio access network quality  BP neural network  evaluation model
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