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The article the reasons for the need to change the structure of the fifth and subsequent generations. In order to decentralize improvement of the C-means fuzzy clustering algorithm due to the use of the DBSCAN density algorithm was proposed, the results of the algorithm on synthetic datasets were obtained. The dependence of the digital cluster size on the population density and distribution of users was determined.

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Clustering Algorithm for Ultra Reliable and Low Latency Communications Based on Population Density

  • 会议论文

  • 发表日期：

    2025年

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  • Maria Sharlaeva,
  • Abbas Alzaghir,
  • Maria Makolkina,
  • Artem Volkov

摘要

The article the reasons for the need to change the structure of the fifth and subsequent generations. In order to decentralize improvement of the C-means fuzzy clustering algorithm due to the use of the DBSCAN density algorithm was proposed, the results of the algorithm on synthetic datasets were obtained. The dependence of the digital cluster size on the population density and distribution of users was determined.