High-speed railway user separation method based on signaling data of A interface and Abis interface

Abstract

The invention discloses a high-speed railway user separation method based on signaling data of an A interface and an Abis interface. The method comprises the following steps of: acquiring all signaling data of the A interface and the Abis interface of a high-speed railway cell; establishing a high-speed railway resident user database, and determining high-speed railway resident users in the high-speed railway cell; acquiring call behavior characteristics of high-speed railway users which are not the resident users according to the acquired signaling data; and separating the high-speed railway users from high-speed expressway users and normal users according to the call behavior characteristics. By the method, user types such as a high-speed railway user, a resident user along a railway and a low-speed user along the railway can be effectively separated by establishing a high-speed railway user separation algorithm model, relevant functions of a high-speed railway road test simulation system can be realized according to the separated high-speed railway users, and uncertain problems of a small quantity of testing samples, high contingency and single testing terminal during the conventional high-speed railway simulation test can be effectively solved.

Description

technical field [0001] The invention relates to the field of wireless technology communication, in particular to a high-speed railway user separation method based on A port and Abis port signaling data in a high-speed railway wireless coverage scenario. Background technique [0002] At present, domestic high-speed railways are developing rapidly, and high-speed railways have become an important part of railway passenger transportation. However, due to the high speed of high-speed railways, the Doppler effect is significant, the poor indicators of high-speed railways and the lack of optimization methods have greatly restricted the optimization of high-speed railway mobile communication networks. In-depth development of work. [0003] The optimization technical means of the existing high-speed railway mobile communication network is mainly to analyze the indicators of the covered high-speed railway community through traffic statistics, and then optimize the network for abnorma...

AI Technical Summary

Problems solved by technology

The method of analyzing the indicators of the covered high-speed railway community through traffic statistics data, because the indicators of permanent users along the high-speed railway are invisible, it is not clear whether the abnormal event is caused by the high-speed railway users, and the abnormal situation of the high-speed railway will be overwhelmed by the normal situation of a large number of resident users , cannot well reflect the high-speed rail user indicators from conventional indicators

On the other hand, the method of on-site road test will have uncertain problems such as less sampling, large sporadicity, and single test terminal, and the test cost is huge, which will have a great impact on the accuracy of the assessment of the high-speed railway wireless network situation.

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