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
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Nov-25-2024
- Country:
- Africa (0.04)
- South America > Ecuador
- Azuay Province > Cuenca (0.04)
- North America
- United States > California
- Santa Clara County > San Jose (0.04)
- Canada > Newfoundland and Labrador
- Labrador (0.04)
- United States > California
- Europe
- United Kingdom
- Scotland (0.04)
- England
- Cambridgeshire > Cambridge (0.28)
- Greater London > London (0.14)
- Bristol (0.04)
- West Sussex (0.04)
- Berkshire > Reading (0.04)
- Italy > Emilia-Romagna
- Metropolitan City of Bologna > Bologna (0.04)
- United Kingdom
- Asia
- Japan (0.04)
- India (0.04)
- Middle East > Iran
- Tehran Province > Tehran (0.04)
- Isfahan Province > Isfahan (0.04)
- Genre:
- Personal (1.00)
- Research Report > Promising Solution (0.47)
- Overview > Innovation (0.45)
- Industry:
- Leisure & Entertainment (1.00)
- Telecommunications (1.00)
- Energy (1.00)
- Health & Medicine (1.00)
- Education (1.00)
- Transportation (1.00)
- Media (1.00)
- Commercial Services & Supplies > Security & Alarm Services (0.67)
- Law > Statutes (0.67)
- Automobiles & Trucks (0.67)
- Government > Military (0.67)
- Information Technology
- Security & Privacy (1.00)
- Networks (0.67)
- Technology:
- Information Technology
- Sensing and Signal Processing (1.00)
- Security & Privacy (1.00)
- Data Science > Data Mining (1.00)
- Cloud Computing (1.00)
- Architecture > Real Time Systems (0.93)
- Human Computer Interaction (0.93)
- Communications
- Artificial Intelligence
- Robots (1.00)
- Representation & Reasoning (1.00)
- Machine Learning (1.00)
- Issues > Social & Ethical Issues (0.92)
- Information Technology