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Method and system for determining a base station selection scheme based on an artificial bee colony algorithm

An artificial bee colony algorithm and base station technology, applied in electrical components, wireless communication, network planning, etc., to achieve the effect of small station construction costs, improved speed and accuracy, and good convergence

Pending Publication Date: 2019-06-18
CHINA ELECTRIC POWER RES INST
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Problems solved by technology

[0005] The present invention proposes a method and system for determining a base station selection scheme based on an artificial bee colony algorithm to solve the problem of how to determine the optimal base station selection scheme and perform site planning

Method used

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  • Method and system for determining a base station selection scheme based on an artificial bee colony algorithm
  • Method and system for determining a base station selection scheme based on an artificial bee colony algorithm
  • Method and system for determining a base station selection scheme based on an artificial bee colony algorithm

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Embodiment approach

[0088] In an embodiment of the invention, the simulation considers 20*20km 2 The flat rectangular area of ​​the medium-sized city is used to determine the site planning scheme.

[0089] Firstly, the problem is initialized, the relevant parameters are set, and then the above model and the artificial bee colony algorithm are used for simulation. The flow chart of artificial bee colony algorithm is as follows: figure 2 shown. When applying the artificial bee colony algorithm to solve a specific optimization problem, the location of the food source is mapped into a solution of the optimization problem, so the process of bees collecting honey (food source) is the process of finding the optimal solution of the optimization problem. For a specific global optimization problem In other words, the set of all solutions to the problem is abstracted into a population. The position of each individual in the population (feasible solution) corresponds to the position of a food source. Th...

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Abstract

The invention discloses a method and system for determining a base station selection scheme based on an artificial bee colony algorithm, and the method comprises the steps: carrying out the discretization of a to-be-planned region, so as to obtain the station address information of a plurality of base stations; Mapping the site information of the base station to bee colony position parameter information in an artificial bee colony algorithm, establishing a simulation model according to related network parameters, and determining an objective function; Configuring parameters in the simulation model according to the station location information of the base station in the to-be-planned area and the objective function; And performing simulation calculation based on an artificial bee colony algorithm by using a simulation model, and solving the objective function to determine an optimal base station selection scheme of the to-be-planned region. According to the technical scheme, simulationcalculation is carried out based on artificial bee colony calculation, the calculation speed and accuracy are greatly improved, the high service coverage rate can be obtained at the low station building cost, good convergence is achieved, and therefore a relatively scientific and reasonable base station site selection scheme can be provided, and the method has important practical application value.

Description

technical field [0001] The present invention relates to the technical field of site planning in communications, and more specifically, to a method and system for determining a base station selection scheme based on an artificial bee colony algorithm. Background technique [0002] Site planning is an integral part of communication system design. The so-called site planning is to select a group of base station sites with the minimum number and meet the requirements from a large number of candidate site sites under the premise of comprehensively considering the site construction cost, coverage rate, service distribution, system capacity and other important network parameters. To achieve the purpose of meeting the network coverage with a group of base stations as small as possible. Considering the scalability of the system, the further development trend of the wireless network in the future should also be fully considered in order to fully meet the business needs in different c...

Claims

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Application Information

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IPC IPC(8): H04W16/18
Inventor 李志吴赛王智慧丁慧霞汪洋马跃
Owner CHINA ELECTRIC POWER RES INST
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