Method and system for determining signal blind area

Abstract

The invention provides a signal blind area determining method and a signal blind area determining system. The method comprises the steps as follows: acquiring core network signaling data of different user terminals recording the location information of users at different time; acquiring missing call reminding service data of different user terminals containing the occurrence time of each missing call reminding service of the user terminals; for any missing call reminding service of any user terminal, querying first data before the occurrence time of the missing call reminding service and / or second data after the occurrence time of the missing call reminding service in the core network signaling data, and querying first location information and second location information corresponding to the occurrence time of the first data and / or the second data in the core network signaling data; and determining a signal blind area according to the first location information and the second location information. By using the signal blind area determining method and the signal blind area determining system, there is no need to rely on human power in the determining process of a signal blind area, the influence of accidental factors on the determining process of a signal blind area is avoided, and a determined signal blind area is accurate.

Description

technical field [0001] The invention belongs to the technical field of mobile networks, and in particular relates to a method and system for determining signal blind areas. Background technique [0002] With the development of the economy and the popularization of mobile communication terminals, the competition among telecom operators is becoming more and more intense. Due to limited communication resources, it is impossible for the mobile network to cover all areas, and the areas that cannot be covered by the mobile network can be called signal blind areas of the mobile network. Since the existence of these signal blind spots not only affects the experience of mobile phone users but also affects the economic benefits of operators, operators very much hope to find signal blind spots in time, so as to build base stations in this area in time to achieve network coverage in this area. [0003] At present, in order to determine the mobile signal blind area, a method for determi...

AI Technical Summary

Problems solved by technology

[0004] However, relying on the road test or fixed-point test method must be handled manually, that is, the test staff drives in a certain area or along a specific route, and collects and records the parameter data of the wireless network signal along the way according to the required sampling rate, and then inputs it into the computer Statistical analysis of drive test data

It has the following problems: First, because the accuracy of the drive test data determines the validity and reliability of the drive test data samples, it is necessary to reasonably select a relatively reliable and short drive test route, which often has a lot of chance and subjectivity

Secondly, the sampling rate of the drive test must be fast enough, and the coverage must be wide enough to truly reflect the actual situation of the network, which will lead to a linear increase in the cost of the drive test

Again, the data obtained by the sampling method is one-time, that is, the data can only reflect the network coverage at that time or even the day at most, and the data cannot be updated; if you want to get the latest data, you must conduct a drive test again. Insurmountable difficulties in continuously improving its network coverage

[0005] In addition, the method of relying on user complaints to find problems not only requires manual inspection and verification, which consumes a lot of manpower and material resources, but also has a long problem processing cycle and slow response to customers, which greatly affects customer experience.

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