Dianzi Jishu Yingyong (Oct 2019)

The cost estimation of 5G base station decommission based on big data

  • Wei Pengtao,
  • Zeng Yu,
  • Wang Haining,
  • Li Xiao,
  • Yao Peijun,
  • Li Mengchi,
  • Xu Yimou

DOI
https://doi.org/10.16157/j.issn.0258-7998.190923
Journal volume & issue
Vol. 45, no. 10
pp. 14 – 18

Abstract

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With the rapid development of 5G technology, the number and density of 5G base stations will be far higher than 4G, and the construction and maintenance of base stations will become a problem that cannot be ignored. Therefore, this paper comprehensively analyzes the 5G base station decommission situation and puts forward a 5G base station decommission cost estimation scheme based on big data. With the base station historical decommission data, the LSTM neural network is used to establish the base station decommission prediction model. Then the 5G base station decommission cost estimation model is constructed, and the cost estimation of the forecast 5G base station decommission is made. Finally, through the experimental analysis, the effectiveness of the scheme is explained and suggestions are put forward.

Keywords