Method and system for optimizing neighbor cell configuration

Abstract

The invention discloses a method and system for optimizing neighbor cell configuration. The method comprises the following steps: based on the existing neighbor cell configuration, trying neighbor cells in larger range in time intervals and batches, adding the tried neighbor cells and calling the tried neighbor cells candidate neighbor cells; when a candidate neighbor cell becomes effective, the candidate neighbor cells and the existing configured neighbor cells jointly forming configured neighbor cells, acquiring received signal code power (RSCP) measured value of measurable neighbor cells by user equipment (UE) in a cell A during cell handover and recording the target neighbor cell handed over each time in a period of time T; after processing all the batches of candidate neighbor cells, computing the RSCP mean value and handover frequency of each neighbor cell relative to the cell A according to all the obtained RSCP measured values and the information of the handed over target neighbor cells, comprehensively evaluating each neighbor cell according to the computation results and giving the neighbor cell configuration optimization suggestions based on the comprehensive evaluation results. The reliability of the configured neighbor cell optimization scheme can be improved by using the invention.

Description

technical field [0001] The invention relates to mobile communication technology, in particular to a neighboring cell configuration optimization method and a neighboring cell configuration optimization system. Background technique [0002] In the current time-division synchronous code division multiple access (TD-SCDMA) network, the relationship between the 2G neighbors and 3G neighbors configured for each serving cell is generally obtained based on simulation prediction or the geographical topology of the cell, but it is different from the actual signal There are still great differences in coverage. In the later stage, network planning and network optimization personnel must rely on experience and actual drive tests to further optimize the neighbor relationship of each cell. In doing so, on the one hand, the workload is huge and the efficiency is low; on the other hand, the configured adjacent cells may not be optimal. Reasonable neighbor relationship configuration is the b...

AI Technical Summary

Problems solved by technology

[0008] However, the existing missing configuration detection method only judges whether there is a missing configuration based on the signal measurement results of the neighboring cells. The judgment basis is relatively simple, and the judgment result is not necessarily accurate.

[0009] In the periodic measurement method, the UE will frequently report measurement reports, and there are many invalid measurement reports (such as the UE in the center area of ​​the cell), which will mislead the subsequent analysis results; moreover, the UE periodically performs measurement, Reporting the measurement report not only has a certain impact on the system load on the network side, but also increases the power consumption of the UE and affects the standby time

[0010] In addition, the existing technology only provides inspection methods for missing adjacent cells, but is powerless to deal with mismatched adjacent cells

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