Cell interruption detection positioning method based on adaptive resonance theory

Abstract

The invention discloses a cell interruption detection positioning method based on an adaptive resonance theory. The method comprises the following steps of: in an acquisition region including a plurality of cells in, acquiring kPI, user identification and position information of a user in a mode that the user reports a measurement report periodically, and clustering the user by adopting a method based on an adaptive resonance theory (ART) network and a K-S test (Kolmogorov-Smirnov test) according to the KPI information; ; and judging and positioning an interrupted cell in an acquisition area by combining user position information according to a clustering analysis result. According to the invention, based on the ART method, the condition that there are few or even no tagged historical datain the network is fully considered, and can can accurately and effectively complete the cell interruption detection function in combination with K-S test method, and the method has a good positioningeffect on the interrupted cell by combining the position information.

Description

technical field [0001] The invention relates to the field of network technology in wireless communication, in particular to a cell interruption detection and positioning method based on adaptive resonance theory. Background technique [0002] In the wireless cellular network, in the past, there are two ways to detect whether a cell is interrupted by analyzing the performance indicators of the interested cell: one is to establish a key performance indicator (Key Performance Indicator, KPI) file in a normal state, and find out the current The deviation between the performance index and the file is used to determine the occurrence of interruption; one is to collect performance index samples under normal and interrupted states, learn the mapping model from the performance index to the two types of states, and judge whether the interruption occurs in a classified manner. However, both of these two types of methods require historical KPI data with clear interruption or not (that i...

AI Technical Summary

Problems solved by technology

However, both of these two types of methods require historical KPI data with clear interruption or not (that is, with tags), which is inconsistent with the reality. If you choose the method of manual tagging, the cost is high; and the tagged data is collected and saved for use as archives It also requires a certain amount of time and space

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