S. Chavhan, P. Ramesh, R. Chhabra, Deepak Gupta, Ashish Khanna, J. Rodrigues
{"title":"无人机5G网络切片可视化及性能分析","authors":"S. Chavhan, P. Ramesh, R. Chhabra, Deepak Gupta, Ashish Khanna, J. Rodrigues","doi":"10.1145/3414045.3416208","DOIUrl":null,"url":null,"abstract":"The objective of this paper is to explore visualization and the performance analysis of 5G network slicing for drones to achieve a better understanding of the concept in terms of expenditure and performance. Network slicing is the first basic part of the progressed 5G cell network availability. It offers the division of the single physical network into various advanced networks so one can achieve specific targets comprehensive of wellbeing, versatility, and the observing of the network. This paper considers a scalable area divided into sub-zones and each sub-zone contains a designated amount of base stations and is subjected to analysis by simulating different client mobility patterns and its effect on the network performance parameters. This analysis is further extended by using all base stations from the four quadrants to create a single network which is then subjected to the same analysis.","PeriodicalId":189206,"journal":{"name":"Proceedings of the 2nd ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Visualization and performance analysis on 5G network slicing for drones\",\"authors\":\"S. Chavhan, P. Ramesh, R. Chhabra, Deepak Gupta, Ashish Khanna, J. Rodrigues\",\"doi\":\"10.1145/3414045.3416208\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The objective of this paper is to explore visualization and the performance analysis of 5G network slicing for drones to achieve a better understanding of the concept in terms of expenditure and performance. Network slicing is the first basic part of the progressed 5G cell network availability. It offers the division of the single physical network into various advanced networks so one can achieve specific targets comprehensive of wellbeing, versatility, and the observing of the network. This paper considers a scalable area divided into sub-zones and each sub-zone contains a designated amount of base stations and is subjected to analysis by simulating different client mobility patterns and its effect on the network performance parameters. This analysis is further extended by using all base stations from the four quadrants to create a single network which is then subjected to the same analysis.\",\"PeriodicalId\":189206,\"journal\":{\"name\":\"Proceedings of the 2nd ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2nd ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3414045.3416208\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3414045.3416208","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Visualization and performance analysis on 5G network slicing for drones
The objective of this paper is to explore visualization and the performance analysis of 5G network slicing for drones to achieve a better understanding of the concept in terms of expenditure and performance. Network slicing is the first basic part of the progressed 5G cell network availability. It offers the division of the single physical network into various advanced networks so one can achieve specific targets comprehensive of wellbeing, versatility, and the observing of the network. This paper considers a scalable area divided into sub-zones and each sub-zone contains a designated amount of base stations and is subjected to analysis by simulating different client mobility patterns and its effect on the network performance parameters. This analysis is further extended by using all base stations from the four quadrants to create a single network which is then subjected to the same analysis.