{"title":"在 Anylogic 环境中开发 5G 网络模型","authors":"","doi":"10.18469/ikt.2023.21.2.02","DOIUrl":null,"url":null,"abstract":"This article describes the analysis of programs for modeling 5G networks. In the selected AnyLogic program, a 5G network model with several base stations that have different characteristics was created. Studies of this model have been made taking into account various disciplines of the queue, the load on each station has been calculated at different priorities. It is proved that this model can be used to study and evaluate the of data transmission efficiency in 5G networks, as well as to analyze the impact of the characteristics of additional parameters (latency, load and priorities) on the quality of data processing. The studies confirmed that the developed 5G network model can help telecom operators optimize performance of their networks and ensure more efficient use of allocated resources.","PeriodicalId":508406,"journal":{"name":"Infokommunikacionnye tehnologii","volume":"66 4","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"5G NETWORK MODEL DEVELOPMENT IN ANYLOGIC ENVIRONMENT\",\"authors\":\"\",\"doi\":\"10.18469/ikt.2023.21.2.02\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article describes the analysis of programs for modeling 5G networks. In the selected AnyLogic program, a 5G network model with several base stations that have different characteristics was created. Studies of this model have been made taking into account various disciplines of the queue, the load on each station has been calculated at different priorities. It is proved that this model can be used to study and evaluate the of data transmission efficiency in 5G networks, as well as to analyze the impact of the characteristics of additional parameters (latency, load and priorities) on the quality of data processing. The studies confirmed that the developed 5G network model can help telecom operators optimize performance of their networks and ensure more efficient use of allocated resources.\",\"PeriodicalId\":508406,\"journal\":{\"name\":\"Infokommunikacionnye tehnologii\",\"volume\":\"66 4\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Infokommunikacionnye tehnologii\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18469/ikt.2023.21.2.02\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Infokommunikacionnye tehnologii","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18469/ikt.2023.21.2.02","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
5G NETWORK MODEL DEVELOPMENT IN ANYLOGIC ENVIRONMENT
This article describes the analysis of programs for modeling 5G networks. In the selected AnyLogic program, a 5G network model with several base stations that have different characteristics was created. Studies of this model have been made taking into account various disciplines of the queue, the load on each station has been calculated at different priorities. It is proved that this model can be used to study and evaluate the of data transmission efficiency in 5G networks, as well as to analyze the impact of the characteristics of additional parameters (latency, load and priorities) on the quality of data processing. The studies confirmed that the developed 5G network model can help telecom operators optimize performance of their networks and ensure more efficient use of allocated resources.
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