基于DBSCAN算法的5G价值区域自动汇聚模型和应用

5G value area automatic aggregation model and application based on DBSCAN algorithm

传统的价值建站仍是以“单点”价值评估及排序为主,但移动通信网络并不是单点建设,而是“连续”成片覆盖。本文创新性提出基于DBSCAN算法的5G价值区域自动汇聚模型,通过O+B域数据融合,实现高价值站点识别,再将高价值站点地理化呈现。通过DBSCAN聚类算法,自动聚类价值点,生成5G价值区域,实现了由“点”到“面”的价值区域规划。该模型已在5G精品网规划和建设过程中大规模应用,取得较好投资效益。

The traditional value station construction is still based on"single point"value evaluation and sorting,but the mobile communication network is not a single point construction,it is a"continuous"patch coverage.This paper creatively proposes a 5G value area automatic aggregation model based on DBSCAN algorithm.Through O+B domain data fusion,high-value sites are identifi ed,and then the high-value sites are presented geographically.Through DBSCAN clustering algorithm,value points are automatically clustered,and 5G value areas are automatically generated.The value area planning from"point"to"area"is realized.The model has been applied in the planning and construction of 5G boutique network on a large scale and has achieved good investment benefi ts.