Automatic optimization system and method for TD-SCDMA wireless network neighbor cell configuration

Abstract

The invention relates to an automatic optimization system and a method for TD-SCDMA wireless network neighbor cell configuration. The system comprises a data managing module which is connected with a radio network controller RNC via an operation maintenance interface, the data managing module is connected with a knowledge database analyzing module via an internal message interface, the data managing module is connected with an analyzing and computing module via an internal message interface, the data managing module is also respectively connected with a client and drive test data via interface adaptation, and a file reading interface of the data managing module can also be connected with an input file. The method comprises the following steps: 1. the analyzing steps of neighbor cell increase; and 2. the analyzing steps of neighbor cell reduction. The invention has the advantages of zero cost, gap filling for indoor signal test, and saving of manpower telephone expenses of drive test vehicles, and has the characteristics of large quantity of samples and wide sample distribution.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a system and method for automatically optimizing the configuration of adjacent cells in a TD-SCDMA wireless network. Background technique [0002] In the case of relatively stable network coverage, a reasonable neighbor relationship helps to improve the handover performance of the wireless network. A reasonable neighbor relationship includes the appropriate number of neighbors in the TD system and the interoperable GSM system and the effective neighbor relationship. Too many neighboring cells will affect the measurement accuracy; if the important neighboring cell relationship is not defined, it will affect the continuity of the call. The effective neighbor relationship directly affects the handover performance. [0003] Neighboring cell optimization should carry out two aspects of work: one is to delete redundant TD system and interoperable GSM system...

AI Technical Summary

Problems solved by technology

[0007] The drive test method using method 1 needs to consume a lot of time, manpower, and test costs, and the test cannot traverse all areas. The sampling points obtained in the drive test mainly come from the test UE, the tested cell, and the test time. The obtained sampling point information The data is not comprehensive and does not necessarily have statistical significance, and it is impossible to realize TD network-wide neighborhood optimization

At the same time, the drive test method cannot guarantee automatic tracking when the network status changes, and cannot adjust the neighbor relationship in time according to the network status.

[0008] Method 2 needs to configure more neighboring cells, and can only optimize the neighboring cells of the TD system and interoperable GSM system that have been defined as neighboring cells, and cannot find the missing neighboring cells of the TD system and interoperable GSM system and adding, and this method is highly dependent on the number of users and the amount of switching performance data

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