%0 Journal Article
%A CHEN Mo
%A GONG Xiang-yang
%A JIN Lei
%A MAN Yi
%T Research on Fault Tracing Technology for 5G Mass Network Management Data
%D 2018
%R 10.13190/j.jbupt.2018-193
%J Journal of Beijing University of Posts and Telecommunications
%P 131-136,142
%V 41
%N 5
%X Aiming at solving the problem of difficult traceability of mass network management data and large redundancy of correlation mining in the fifth generation of mobile communications system (5G) environment, sequential alarm correlation mining algorithm based on network topology was proposed by combining with the time constraint, sliding time window and classification hierarchy technology, which effectively reduced candidate sets, and realized the efficiently compressing and rapidly tracing the mass network management data. Simulation verified that the improved candidate set of fault tracing had actual correlation in topology, which was more effective and reliable than other correlation algorithms.
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2018-193