AI-Native Multi-Access Future Networks -- The REASON Architecture
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| Format: | Preprint |
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2024
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| author | Katsaros, Konstantinos Mavromatis, Ioannis Antonakoglou, Kostantinos Ghosh, Saptarshi Kaleshi, Dritan Mahmoodi, Toktam Asgari, Hamid Karousos, Anastasios Tavakkolnia, Iman Safi, Hossein Hass, Harald Vrontos, Constantinos Emami, Amin Ullauri, Juan Parra Moazzeni, Shadi Simeonidou, Dimitra |
| author_facet | Katsaros, Konstantinos Mavromatis, Ioannis Antonakoglou, Kostantinos Ghosh, Saptarshi Kaleshi, Dritan Mahmoodi, Toktam Asgari, Hamid Karousos, Anastasios Tavakkolnia, Iman Safi, Hossein Hass, Harald Vrontos, Constantinos Emami, Amin Ullauri, Juan Parra Moazzeni, Shadi Simeonidou, Dimitra |
| contents | The development of the sixth generation of communication networks (6G) has been gaining momentum over the past years, with a target of being introduced by 2030. Several initiatives worldwide are developing innovative solutions and setting the direction for the key features of these networks. Some common emerging themes are the tight integration of AI, the convergence of multiple access technologies and sustainable operation, aiming to meet stringent performance and societal requirements. To that end, we are introducing REASON - Realising Enabling Architectures and Solutions for Open Networks. The REASON project aims to address technical challenges in future network deployments, such as E2E service orchestration, sustainability, security and trust management, and policy management, utilising AI-native principles, considering multiple access technologies and cloud-native solutions.
This paper presents REASON's architecture and the identified requirements for future networks. The architecture is meticulously designed for modularity, interoperability, scalability, simplified troubleshooting, flexibility, and enhanced security, taking into consideration current and future standardisation efforts, and the ease of implementation and training. It is structured into four horizontal layers: Physical Infrastructure, Network Service, Knowledge, and End-User Application, complemented by two vertical layers: Management and Orchestration, and E2E Security. This layered approach ensures a robust, adaptable framework to support the diverse and evolving requirements of 6G networks, fostering innovation and facilitating seamless integration of advanced technologies. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_06870 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | AI-Native Multi-Access Future Networks -- The REASON Architecture Katsaros, Konstantinos Mavromatis, Ioannis Antonakoglou, Kostantinos Ghosh, Saptarshi Kaleshi, Dritan Mahmoodi, Toktam Asgari, Hamid Karousos, Anastasios Tavakkolnia, Iman Safi, Hossein Hass, Harald Vrontos, Constantinos Emami, Amin Ullauri, Juan Parra Moazzeni, Shadi Simeonidou, Dimitra Networking and Internet Architecture Artificial Intelligence Systems and Control The development of the sixth generation of communication networks (6G) has been gaining momentum over the past years, with a target of being introduced by 2030. Several initiatives worldwide are developing innovative solutions and setting the direction for the key features of these networks. Some common emerging themes are the tight integration of AI, the convergence of multiple access technologies and sustainable operation, aiming to meet stringent performance and societal requirements. To that end, we are introducing REASON - Realising Enabling Architectures and Solutions for Open Networks. The REASON project aims to address technical challenges in future network deployments, such as E2E service orchestration, sustainability, security and trust management, and policy management, utilising AI-native principles, considering multiple access technologies and cloud-native solutions. This paper presents REASON's architecture and the identified requirements for future networks. The architecture is meticulously designed for modularity, interoperability, scalability, simplified troubleshooting, flexibility, and enhanced security, taking into consideration current and future standardisation efforts, and the ease of implementation and training. It is structured into four horizontal layers: Physical Infrastructure, Network Service, Knowledge, and End-User Application, complemented by two vertical layers: Management and Orchestration, and E2E Security. This layered approach ensures a robust, adaptable framework to support the diverse and evolving requirements of 6G networks, fostering innovation and facilitating seamless integration of advanced technologies. |
| title | AI-Native Multi-Access Future Networks -- The REASON Architecture |
| topic | Networking and Internet Architecture Artificial Intelligence Systems and Control |
| url | https://arxiv.org/abs/2411.06870 |