N.T. Momunalieva, K. T. Sharsheeva, S. A. Alymkulov
{"title":"FORMALIZATION OF THE PROBLEM FOR OPTIMAL PLACEMENT OF BASE STATIONS OF CELLULAR COMMUNICATION","authors":"N.T. Momunalieva, K. T. Sharsheeva, S. A. Alymkulov","doi":"10.35803/1694-5298.2021.4.576-580","DOIUrl":null,"url":null,"abstract":"The article discusses the issue of the optimal location of base stations for mobile communications. A method for finding the optimal location of base stations, determining their throughput in accordance with the expected traffic volume and determining the size of the cells will be considered. The purpose of the work is to formalize the question of the optimal location of base stations according to the criteria for minimizing costs for all network elements, taking into account the expected number of subscribers and the volume of traffic. As a result, a generalized algorithm for solving problems for systems is described, which allows one to formalize the objective function and constraints.","PeriodicalId":427236,"journal":{"name":"The Heralds of KSUCTA, №4, 2021","volume":"186 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Heralds of KSUCTA, №4, 2021","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35803/1694-5298.2021.4.576-580","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The article discusses the issue of the optimal location of base stations for mobile communications. A method for finding the optimal location of base stations, determining their throughput in accordance with the expected traffic volume and determining the size of the cells will be considered. The purpose of the work is to formalize the question of the optimal location of base stations according to the criteria for minimizing costs for all network elements, taking into account the expected number of subscribers and the volume of traffic. As a result, a generalized algorithm for solving problems for systems is described, which allows one to formalize the objective function and constraints.