东南大学学报（英文版）2019，Vol.35Issue(2)：168-173,6.DOI:10.3969/j.issn.1003-7985.2019.02.004
一种使用协作预测的自组织网络故障检测方法
A SON solution for cell outage detection using a cooperative prediction approach
摘要
Abstract
In order to improve the efficiency of automatic management and self-healing of the self-organizing network (SON),a cell outage problem is investigated and a cooperative prediction-based automatic cell outage detection algorithm is proposed.By the improved collaborative filtering prediction algorithm,the location correlation of users in the wireless network is considered.By incorporating the cooperative grey model prediction algorithm,the time correlation of users' motion trajectory is also introduced.Data of users in a normal scenario is simulated and collected for model training and threshold calculating and the outage cell can be effectively detected using the proposed approach.The simulation results demonstrate that the proposed scheme has a higher detection rate for different extents of outage while ensuring the lower communication overhead and false alarm rate than traditional outage detection methods.The detection rate of the proposed approach outperforms the traditional method by around 14％,especially when there are sparse users in the network,and it is able to detect the outage cell with no active users with the help of neighbor cells.关键词
小区故障检测/协作预测/协同过滤/灰度模型Key words
cell outage detection/cooperative prediction/collaborative filtering/grey model分类
信息技术与安全科学引用本文复制引用
王玉婷,刘楠,潘志文,尤肖虎..一种使用协作预测的自组织网络故障检测方法[J].东南大学学报（英文版）,2019,35(2):168-173,6.基金项目
The National Natural Science Foundation of China (No.61571123,61521061),the Research Fund of National Mobile Communications Research Laboratory of Southeast University (No.2018A03,2019A03),the National Major Science and Technology Project (No.2017ZX03001002-004),the 333 Program of Jiangsu Province (No.BRA2017366). （No.61571123,61521061）
