A base station planning method and device

A base station and planning technology, applied in the field of communication, can solve the problems that the site selection of base stations is of little reference and cannot meet the needs of users for the network in time.

Active Publication Date: 2019-05-21
CHINA UNITED NETWORK COMM GRP CO LTD
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AI Technical Summary

Problems solved by technology

The performance data of the network in the prior art can only be used as a data reference for the current base station construction, and has little

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  • A base station planning method and device
  • A base station planning method and device
  • A base station planning method and device

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Embodiment Construction

[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0021] It should be noted that, in the embodiments of the present invention, words such as "exemplary" or "for example" are used for example, illustration or illustration. Any embodiment or design solution described as "exemplary" or "for example" in the embodiments of the present invention shall not be construed as being more preferred or more advantageous than other embodiments or design solutions. Rather, the use of words such as "exemplary" or "such as" is in

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Abstract

The embodiment of the invention discloses a base station planning method and a base station planning device, relates to the technical field of communication, and can predict the base station planningprobability by adopting a BP neural network algorithm for performance data of grids so as to timely realize base station planning. The method comprises the following steps: carrying out rasterizationprocessing on an area to be planned to generate at least one grid; Inputting the obtained performance data of the predetermined time into a preset model to generate a first probability of the grid planning base station after the predetermined time; Wherein the preset model is generated by training the training sample set by the BP neural network model; Wherein the training sample set comprises training samples, the training samples comprise historical performance data of grids in a planning time period and a second probability of planning base stations in the grids after the planning time period, and the second probability represents that the grids need or do not need to plan the base stations after the planning time period; And if the first probability is greater than a preset probabilitythreshold, determining to plan the base station in the grid. The embodiment of the invention is applied to a communication system.

Description

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Claims

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Application Information

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Owner CHINA UNITED NETWORK COMM GRP CO LTD
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