RPMA low-power wide-area network planning method based on data mining

Xiaorong ZHU; Yao SHEN

doi:10.11959/j.issn.1000-436x.2019050

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RPMA low-power wide-area network planning method based on data mining

Papers | 更新时间：2024-06-05

- RPMA low-power wide-area network planning method based on data mining
- Journal on Communications Vol. 40, Issue 3, Pages: 28-35(2019)
- 作者机构：
  
  南京邮电大学江苏省无线通信重点实验室，江苏南京 210003
- 作者简介：
- 基金信息：
  
  The Post Graduate Research ＆ Practice Innovation Program of Jiangsu Province(KYCX17_0766);The National Natural Science Foundation of China(61871237);The Natural Science Foundation of the Higher Education Institutions of Jiangsu Province(16KJA510005)
- DOI：10.11959/j.issn.1000-436x.2019050
  CLC： TN915.81
- Online First：2019-03，
  
  Published：25 March 2019
- 稿件说明：
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Xiaorong ZHU, Yao SHEN. RPMA low-power wide-area network planning method based on data mining[J]. Journal on Communications, 2019, 40(3): 28-35.
DOI：

Xiaorong ZHU, Yao SHEN. RPMA low-power wide-area network planning method based on data mining[J]. Journal on Communications, 2019, 40(3): 28-35. DOI： 10.11959/j.issn.1000-436x.2019050.

摘要

针对RPMA低功耗广域网基站密度大、业务分布不均匀等特点，提出了一种基于数据挖掘的网络规划方法。首先，利用提升回归树算法建立了信号质量预测模型，用于提取网络的覆盖分布空间模式；然后，针对覆盖分布空间模式，采用加权k-centroids分簇算法得到适应当前模式的最优基站部署；最后，根据总目标函数判定得到最终的基站拓扑。通过真实数据集的仿真实验结果表明，与传统的网络规划方法相比，所提的方法很好地提升低功耗广域网网络的覆盖质量。

Abstract

A network planning method based on data mining was proposed for RPMA low-power wide-area network with large density of base stations and uneven traffic distribution.First

a signal quality prediction model was established by using the boosting regression trees algorithm

which was used to extract the coverage distribution spacial pattern of the network.Then

the weighted k-centroids clustering algorithm was utilized to obtain the optimal base station deployment for the current spacial pattern.Finally

according to the total objective function

the best base station topology was determined.Experiment results with the real data sets show that compared with the traditional network planning method

the proposed method can improve the coverage of low-power wide-area networks.

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references

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