基于大数据的5G智慧工厂基站选址规划策略研究  

Research on Planning and Strategy of 5G Smart Factory Base Station Site Selection Based on Big Data

作　　者：单友成 SHAN Youcheng(Zhejiang Technical Institute of Economics,Hangzhou Zhejiang 310018,China)

机构地区：[1]浙江经济职业技术学院,浙江杭州310018

出　　处：《通信技术》2023年第10期1166-1172,共7页Communications Technology

基　　金：中国物流学会2022年全国高校、职业院校物流教改教研课题(JZW2022006)。

摘　　要：首先,针对5G智慧工厂新建基站的站址进行规划,综合考虑成本、基站间距离、弱覆盖点业务量等条件,通过大数据可视化分析,以成本最小化为目标建立最优基站选址模型。其次,采用离散化思想和方法,重点对约束条件进行降维与线性化处理,在模型求解的过程中引入高效率矩阵平移操作,得到优化后的混合0-1整数线性规划模型。最后,围绕基站能够满足弱覆盖点90%的总业务量且基站与现网基站之间的距离小于给定门限值的关键指标,有针对性地提出了选址方案,旨在为优化5G智慧工厂基站选址策略提供可靠的参考,具有一定的应用价值。First,this paper plans for the site of the new 5G smart factory base station,taking into account factors such as cost,distance between base stations,and weak coverage points business volume,etc.It establishes an optimal base station siting model with the goal of cost minimization through big data visualization analysis.Then,it adopts discretization ideas and methods,focuses on the dimensionality reduction and linearization of the constraints,and introduces high-efficiency matrix translation operations in the process of model solving to obtain the optimized mixed 0-1 integer linear programming model.Finally,regarding the key indicators that the base station can satisfy 90%of the total business volume of the weak coverage points and the distance between the base station and the existing network base station is less than the given threshold value,this paper puts forward a targeted siting plan,which aims to provide a reliable reference for optimizing the siting strategy of 5G smart factory base stations,and it has certain application value.

关 键 词：大数据 5G 智慧工厂 基站选址 整数规划 

分 类 号：TN929.5[电子电信—通信与信息系统] TP391[电子电信—信息与通信工程]