MDT-based neighbor cell detection method and device

Abstract

The invention discloses a neighbor cell detection method and device based on MDT. The method comprises the following steps: acquiring MDT data corresponding to a plurality of sampling points; wherein the MDT data comprises longitude and latitude information and a cell identifier; for any sampling point, determining the attribution grid information of the sampling point according to the longitude and latitude information of the sampling point; counting a plurality of cell identifiers which jointly cover the same grid; and for any to-be-detected cell, identifying other cells covering the same grid with the to-be-detected cell as adjacent cells. The neighbor cell planning and checking can be completed based on MDT data, the input link is simplified, and the manpower and time cost is effectively reduced; according to the position information carried by the MDT data, the cell-level coverage information can be accurately simulated and output, so that the geographical evaluation of the cell coverage is completed, and the overall accuracy can be remarkably improved; according to the method, the cell-level coverage rasterized presentation is realized based on the MDT data, so that the common coverage cell is determined based on the cell attribution grid, and the defects of accuracy and comprehensiveness of traditional neighbor cell checking are overcome.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to an MDT-based neighbor cell detection method and device. Background technique [0002] Neighboring cells have always been an important part of LTE network optimization, involving handover within the LTE network, interoperability between 2G, 3G, and 4G systems, and balance optimization. In terms of neighbor cell configuration, limited by the capabilities of manufacturers’ equipment, the number of neighbor cell configurations is limited. At the same time, the number of neighbor cell configurations also greatly affects terminal measurement, which in turn affects network performance. Therefore, the integrity and accuracy of neighbor cell configuration is very important. At present, there are mainly the following methods for neighborhood verification and optimization: [0003] 1. Geographicalization-based simulation [0004] Carry out cell coverage simulation according...

AI Technical Summary

Problems solved by technology

Due to the lack of location information of sampling points, only the RSRP information of the main serving cell and neighboring cells can be obtained for coverage determination. The overlapping coverage information between cells can only be roughly determined based on the matching information of neighboring cells, and the MR data is based on reports from neighboring cells. , missing adjacent cells leads to incomplete measurement data, so the accuracy cannot be effectively guaranteed

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