L. Militano, Anastasios Zafeiropoulos, Eleni Fotopoulou, R. Bruschi, C. Lombardo, Andy Edmonds, S. Papavassiliou
{"title":"AI-powered Infrastructures for Intelligence and Automation in Beyond-5G Systems","authors":"L. Militano, Anastasios Zafeiropoulos, Eleni Fotopoulou, R. Bruschi, C. Lombardo, Andy Edmonds, S. Papavassiliou","doi":"10.1109/GCWkshps52748.2021.9682117","DOIUrl":null,"url":null,"abstract":"In this paper, a vision for beyond-5G systems is proposed where automation and intelligence in cloud-native infrastructures are in focus. Exploiting the convergence of cloud technologies at the edge and mobile communication networks, a set of technological solutions is discussed that will play a fundamental role on the path from 5G towards future 6G systems. Currently, a strong need is felt in the telecommunication world for greater automation to meet the extreme requirements expected for 6G applications. Artificial Intelligence (AI) is gaining momentum as one of the main enabling technologies for beyond-5G networks. Reinforcement Learning (RL) and Federated Learning (FL) are here proposed as technologies to enhance automation and improve the intelligence of orchestration mechanisms of both network services and applications. These technologies are brought together in a comprehensive cloud-native architectural vision to fill the gap between current 5G systems and AI-powered systems of the future.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"79 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE Globecom Workshops (GC Wkshps)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCWkshps52748.2021.9682117","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In this paper, a vision for beyond-5G systems is proposed where automation and intelligence in cloud-native infrastructures are in focus. Exploiting the convergence of cloud technologies at the edge and mobile communication networks, a set of technological solutions is discussed that will play a fundamental role on the path from 5G towards future 6G systems. Currently, a strong need is felt in the telecommunication world for greater automation to meet the extreme requirements expected for 6G applications. Artificial Intelligence (AI) is gaining momentum as one of the main enabling technologies for beyond-5G networks. Reinforcement Learning (RL) and Federated Learning (FL) are here proposed as technologies to enhance automation and improve the intelligence of orchestration mechanisms of both network services and applications. These technologies are brought together in a comprehensive cloud-native architectural vision to fill the gap between current 5G systems and AI-powered systems of the future.