TD-SCDMA base station planning point automatic selection method based on coverage prediction

Abstract

The invention discloses a base station planning point automatic selection method. The method comprises the core steps that cell information of macro base stations is acquired, and a set A is obtained; the maximum value and the minimum value of cell longitudes and latitudes in the set A are calculated, and the maximum value and the minimum value are rounded according to the step length; the longitudes and the latitudes are segmented according to the step length from the minimum value to the maximum value; according to pairing of the longitudes and the latitudes, a set B is obtained; the attributes of the set B are initialized; grid ground feature information of the set B is acquired; an MR level value is acquired; the signal intensity of each grid in the set B is calculated, and the first three cells with the first three high signal intensities are obtained; the carrier-to-interference ratio of the grids in the set B are calculated; the attribute MR level values of the grids in the set B are calculated; the grids with the attribute MR level values smaller than a threshold value Xa and the carrier-to-interference ratios smaller than a threshold value Xb are searched for in the set B, and a poor coverage set D is obtained; aggregation processing is carried out on the grids of the set D, and the grids with the distances smaller than a threshold value are arranged in one set, so that a grid group set E is obtained; the center coordinates of the grid groups of the grid group set E are calculated, and a planning point coordinate set F is obtained.

Description

technical field [0001] The invention relates to the field of mobile communication, in particular to a method for automatically selecting a planning point of a TD-SCDMA mobile communication base station based on coverage prediction and combined with MR measurement report data of a live site. Background technique [0002] When planning and selecting points for the base station of the TD-SCDMA mobile communication system, planners generally select the planning points manually based on the live network simulation results of the TD-SCDMA mobile communication system, and determine the location of the planning points based on personal experience. Manual point selection is inefficient and takes a long period of point selection; error-prone, highly subjective, and extremely dependent on personal experience; it is closely related to the accuracy of live network simulation, if the simulation accuracy is low, the point selection accuracy is correspondingly low; The simulation update fre...

AI Technical Summary

Problems solved by technology

Manual point selection is inefficient and takes a long period of point selection; error-prone, highly subjective, and extremely dependent on personal experience; it is closely related to the accuracy of live network simulation, if the simulation accuracy is low, the point selection accuracy is correspondingly low; The simulation update frequency is low, lasting for several months or even more than half a year, resulting in differences between the base station information of the live network used for simulation and the actual network

Therefore, the manual point selection method has great shortcomings, the point selection accuracy is low, and it is easy to cause investment waste; the existing point selection method has a long cycle and low efficiency

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