{"title":"最优蜂窝基站提升中贪心算法的实现","authors":"A E Tamaraebi, B Okardi","doi":"10.52589/BJCNIT-O5PVTEGT","DOIUrl":null,"url":null,"abstract":"The need to meet the demands of subscribers of wireless services is imperative to Global System for Mobile (GSM) Communication companies. These demands, which revolve around the maintenance of good network coverage and improved Quality of Service (QoS), depend largely on the nature of cellular network masts. Greedy Algorithm Model was implemented on network masts for small size populated areas to effectively have optimal network coverage. Object Oriented Analysis and Design Methodology (OOADM) and Java programming language was used for its implementation. The analysis of the results shows that Greedy Algorithm performed optimizing cellular network masts hoisting optimally for small populated areas.","PeriodicalId":326452,"journal":{"name":"British Journal of Computer, Networking and Information Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Implementation of Greedy Algorithm in Optimal Cellular Masts Hoisting Over Population Coverage\",\"authors\":\"A E Tamaraebi, B Okardi\",\"doi\":\"10.52589/BJCNIT-O5PVTEGT\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The need to meet the demands of subscribers of wireless services is imperative to Global System for Mobile (GSM) Communication companies. These demands, which revolve around the maintenance of good network coverage and improved Quality of Service (QoS), depend largely on the nature of cellular network masts. Greedy Algorithm Model was implemented on network masts for small size populated areas to effectively have optimal network coverage. Object Oriented Analysis and Design Methodology (OOADM) and Java programming language was used for its implementation. The analysis of the results shows that Greedy Algorithm performed optimizing cellular network masts hoisting optimally for small populated areas.\",\"PeriodicalId\":326452,\"journal\":{\"name\":\"British Journal of Computer, Networking and Information Technology\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"British Journal of Computer, Networking and Information Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.52589/BJCNIT-O5PVTEGT\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"British Journal of Computer, Networking and Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52589/BJCNIT-O5PVTEGT","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Implementation of Greedy Algorithm in Optimal Cellular Masts Hoisting Over Population Coverage
The need to meet the demands of subscribers of wireless services is imperative to Global System for Mobile (GSM) Communication companies. These demands, which revolve around the maintenance of good network coverage and improved Quality of Service (QoS), depend largely on the nature of cellular network masts. Greedy Algorithm Model was implemented on network masts for small size populated areas to effectively have optimal network coverage. Object Oriented Analysis and Design Methodology (OOADM) and Java programming language was used for its implementation. The analysis of the results shows that Greedy Algorithm performed optimizing cellular network masts hoisting optimally for small populated areas.