Luis M. Contreras, Javier Serrano, Lefteris Mamatas, Giacomo Bernini, Paolo Monti, Mario Antunes, Udayanto Atmojo, Eli Tocker, I�aki Val, Andrea Sgambelluri, J�r�me H�rri, Antonio Lioy, Pedro Martinez-Julia, Jos� Gonz�lez, Jorge S�nchez-Garrido, Hitoshi Asaeda
{"title":"模块化架构,为2030年后的网络提供融合和无处不在的智能连接","authors":"Luis M. Contreras, Javier Serrano, Lefteris Mamatas, Giacomo Bernini, Paolo Monti, Mario Antunes, Udayanto Atmojo, Eli Tocker, I�aki Val, Andrea Sgambelluri, J�r�me H�rri, Antonio Lioy, Pedro Martinez-Julia, Jos� Gonz�lez, Jorge S�nchez-Garrido, Hitoshi Asaeda","doi":"10.52953/samo3073","DOIUrl":null,"url":null,"abstract":"The transition of the networks to support forthcoming beyond 5G (B5G) and 6G services introduces a number of important architectural challenges that force an evolution of existing operational frameworks. Current networks have introduced technical paradigms such as network virtualization, programmability and slicing, being a trend known as network softwarization. Forthcoming B5G and 6G services imposing stringent requirements will motivate a new radical change, augmenting those paradigms with the idea of smartness, pursuing an overall optimization on the usage of network and compute resources in a zero-trust environment. This paper presents a modular architecture under the concept of Convergent and UBiquitous Intelligent Connectivity (CUBIC), conceived to facilitate the aforementioned transition. CUBIC intends to investigate and innovate on the usage, combination and development of novel technologies to accompany the migration of existing networks towards Convergent and Ubiquitous Intelligent Connectivity (CUBIC) solutions, leveraging Artificial Intelligence (AI) mechanisms and Machine Learning (ML) tools in a totally secure environment.\n","PeriodicalId":274720,"journal":{"name":"ITU Journal on Future and Evolving Technologies","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modular architecture providing convergent and ubiquitous intelligent connectivity for networks beyond 2030\",\"authors\":\"Luis M. Contreras, Javier Serrano, Lefteris Mamatas, Giacomo Bernini, Paolo Monti, Mario Antunes, Udayanto Atmojo, Eli Tocker, I�aki Val, Andrea Sgambelluri, J�r�me H�rri, Antonio Lioy, Pedro Martinez-Julia, Jos� Gonz�lez, Jorge S�nchez-Garrido, Hitoshi Asaeda\",\"doi\":\"10.52953/samo3073\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The transition of the networks to support forthcoming beyond 5G (B5G) and 6G services introduces a number of important architectural challenges that force an evolution of existing operational frameworks. Current networks have introduced technical paradigms such as network virtualization, programmability and slicing, being a trend known as network softwarization. Forthcoming B5G and 6G services imposing stringent requirements will motivate a new radical change, augmenting those paradigms with the idea of smartness, pursuing an overall optimization on the usage of network and compute resources in a zero-trust environment. This paper presents a modular architecture under the concept of Convergent and UBiquitous Intelligent Connectivity (CUBIC), conceived to facilitate the aforementioned transition. CUBIC intends to investigate and innovate on the usage, combination and development of novel technologies to accompany the migration of existing networks towards Convergent and Ubiquitous Intelligent Connectivity (CUBIC) solutions, leveraging Artificial Intelligence (AI) mechanisms and Machine Learning (ML) tools in a totally secure environment.\\n\",\"PeriodicalId\":274720,\"journal\":{\"name\":\"ITU Journal on Future and Evolving Technologies\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ITU Journal on Future and Evolving Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.52953/samo3073\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ITU Journal on Future and Evolving Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52953/samo3073","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modular architecture providing convergent and ubiquitous intelligent connectivity for networks beyond 2030
The transition of the networks to support forthcoming beyond 5G (B5G) and 6G services introduces a number of important architectural challenges that force an evolution of existing operational frameworks. Current networks have introduced technical paradigms such as network virtualization, programmability and slicing, being a trend known as network softwarization. Forthcoming B5G and 6G services imposing stringent requirements will motivate a new radical change, augmenting those paradigms with the idea of smartness, pursuing an overall optimization on the usage of network and compute resources in a zero-trust environment. This paper presents a modular architecture under the concept of Convergent and UBiquitous Intelligent Connectivity (CUBIC), conceived to facilitate the aforementioned transition. CUBIC intends to investigate and innovate on the usage, combination and development of novel technologies to accompany the migration of existing networks towards Convergent and Ubiquitous Intelligent Connectivity (CUBIC) solutions, leveraging Artificial Intelligence (AI) mechanisms and Machine Learning (ML) tools in a totally secure environment.