A method and system for deploying an indoor antenna

An indoor antenna and antenna technology, which is applied in wireless communication, electrical components, network planning, etc., can solve the problems of inability to guarantee the number of antenna surfaces, cost savings, manual experience design and inability to traverse the deployment scheme, etc.

Active Publication Date: 2015-10-07
CHINA MOBILE GRP GUANGDONG CO LTD
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  • Abstract
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Problems solved by technology

[0006] (1) The number of antenna deployments is closely related to the deployment points. Manual experience design cannot traverse all deployment schemes, and it is difficult to choose the optimal scheme that balances coverage effect and economic cost.
[0007] (2) Whether the design scheme can meet the coverage requirements can be checked through the existing technology, but if the coverage requirements are not met, it needs to be redesigned, which consumes manpower and material resources
[0008] (3) Through the inspection of existing technologies, even if the coverage requirements can be met, there is no guarantee that the number of antenna surfaces used is the least and the cost is the most cost-effective

Method used

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  • A method and system for deploying an indoor antenna
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  • A method and system for deploying an indoor antenna

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Embodiment Construction

[0092] In order to help better understand the present invention, firstly, the multi-objective evolutionary algorithm involved in the embodiment of the present invention is introduced.

[0093] Multi-objective evolutionary algorithm is a branch of genetic algorithm. The biggest difference between this algorithm and single-objective optimization algorithm is that it has multiple objectives that need to be optimized at the same time. From the perspective of internal mechanism, the multi-objective evolutionary algorithm adopts an improved selection mechanism in order to reflect the optimal selection characteristics based on Pareto, and uses niche technology to strive for a uniform distribution of Pareto front-end solution points.

[0094] The multi-objective evolutionary algorithm starts from a population representing the potential solution set of the problem, and a population is composed of a certain number of individuals encoded by genes. Each individual is actually an entity wi...

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Abstract

The invention provides a method and a system for laying of indoor antennas. The method includes confirming an initial value of antenna quantity; obtaining the optimal laying position point scheme of the antennas of current antenna quantity by utilizing the multi-target evolutionary algorithms; and regulating the antennal quantity, obtaining the optimal laying position point scheme of the antennas of different antenna quantity, finding the optimal laying position point scheme having minimum antennal quantity, and obtaining the finial laying scheme of the indoor antennas. The method and the system can reduce achieving complexity of the laying of the indoor antennas, improves a covering effect, and reduces equipment cost.

Description

technical field [0001] The invention relates to the optimization field of wireless network planning in an indoor environment, in particular to an indoor antenna deployment method and deployment system. Background technique [0002] The core problem in indoor wireless signal coverage is the positioning and optimization of indoor antenna positions. The following two solutions are commonly used in the prior art: [0003] (1) Manually adjust different antenna positions, then test the results and select the most suitable antenna position. This solution is mainly for designers to choose the installation location and configuration of the antenna through on-site surveys and based on personal experience and intuition. [0004] (2) Use special indoor coverage prediction software to semi-automatically select the optimal location. This solution mainly uses software to assist designers to verify whether the deployed antenna position can meet the required indicators, reducing the worklo...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W16/20
Inventor 杨建辉程文兵秦洁
Owner CHINA MOBILE GRP GUANGDONG CO LTD
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