Method and device for performing automatic plot planning optimization by utilizing drive test data

Abstract

The present invention discloses a method and a device for optimizing Automatic Cell Planning (ACP) using Drive Test (DT) data. The method includes the following steps: reading DT data and simulation data; computing DT path loss and simulation path loss of a grid point based on the DT data and simulation data; when the current grid point has no DT path loss, computing influence path loss of the current grid point with influence function algorithm based on the simulation path loss of the current grid point and the DT path loss and simulation path loss of the grid point around the current grid point; computing correction path loss of the current grid point based on the influence path loss and simulation path loss of the current grid point and a preset weight; performing ACP optimization with iterative algorithm based on the correction path loss. With the present invention, the DT data is processed using influence function algorithm, which takes into consideration the influence to the path loss caused by the object attributes in electronic map and makes full use of the DT data to correct the simulation data, thus improving the accuracy and usability of the ACP optimization.

Description

Technical field [0001] The present invention relates to the field of communications, in particular to a method and device for automatic cell planning and optimization using drive test data. Background technique [0002] In the process of wireless network planning and optimization, engineering parameters need to be optimized, including antenna height, direction angle, and downtilt angle adjustments. The optimization content is complicated and often requires repeated adjustments and test verification, and it has the function of engineering parameter optimization. The automatic cell planning tool-ACP (Automatic Cell Planning) software, is optimized from the perspective of the entire network, which can greatly reduce the workload of network planning and optimization and improve work efficiency. [0003] ACP mainly uses different data sources, such as drive test DT (Drive Test) data, traffic statistics data, base station data and electronic map data, etc., to evaluate and locate various...

AI Technical Summary

Problems solved by technology

[0005] However, the current ACP software in the industry has the following defects: ACP software is generally based on wireless network simulation, that is, the foundation of ACP software calculation relies on wireless network simulation modeling, and its foundation is still to calculate the path of each grid point on the coverage surface according to the propagation model However, due to the uncertainty of the factors affecting the calculation of path loss, such as the propagation model cannot truly reflect the wireless propagation environment of each point, the accuracy of the electronic map, the difference between the actual transmission power and the theoretical value and other factors also affect the calculation Therefore, the existing ACP-based software for wireless network planning and optimization has inaccuracy

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