N. Petrovic, Samir Koničanin, Dejan N. Milic, S. Suljovic, S. Panic
{"title":"GPU-enabled Framework for Modelling, Simulation and Planning of Mobile Networks in Smart Cities","authors":"N. Petrovic, Samir Koničanin, Dejan N. Milic, S. Suljovic, S. Panic","doi":"10.1109/ZINC50678.2020.9161773","DOIUrl":null,"url":null,"abstract":"Mobile networks have significant impact on many aspects of our everyday lives. The number of users and requirements increase continuously, which poses many challenges to service providers. Efficient resource planning and ability to adapt to current demands are crucial when it comes to deployment of large-scale and high-performance commercial mobile networks. Leveraging modelling and simulation tools provides faster and cheaper analysis of planned deployments. In this paper, a framework aiming modelling, simulation and planning of mobile networks within smart cities is presented. The solution makes use of GPGPU approach for faster calculations.","PeriodicalId":6731,"journal":{"name":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"39 1","pages":"280-285"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Zooming Innovation in Consumer Technologies Conference (ZINC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ZINC50678.2020.9161773","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
Mobile networks have significant impact on many aspects of our everyday lives. The number of users and requirements increase continuously, which poses many challenges to service providers. Efficient resource planning and ability to adapt to current demands are crucial when it comes to deployment of large-scale and high-performance commercial mobile networks. Leveraging modelling and simulation tools provides faster and cheaper analysis of planned deployments. In this paper, a framework aiming modelling, simulation and planning of mobile networks within smart cities is presented. The solution makes use of GPGPU approach for faster calculations.
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