Next-generation networks are expected to adapt not only to a wide range of application demands but also to the specific needs of individual users, end device heterogeneity, and changing operational conditions. In this work, we discuss how to enhance the programmability of network devices (e.g., radio end devices, base stations, and routers) to achieve an unprecedented level of network adaptation and customization in 6G systems. We focus on two main innovations: full network programmability and morphable networking. The former breaks down traditional boundaries between protocol layers as well as domains (e.g., network segments, technological realms, and administrative domains); the latter enables the protocol stack of each network node to be dynamically and consistently reconfigured across different domains, enabled by embedded artificial intelligence (AI).

Morphable Networks For Cross-Layer And Cross-Domain Programmability: A Novel Network Paradigm / Chiasserini, Carla Fabiana; Bizzarri, Simone; Costa, Cristina Emilia; Davoli, Gianluca; Llorca, Jaime; Lucrezia, Vincenzo Luciano; Malandrino, Francesco; Miano, Sebastiano; Molinaro, Antonella; Palazzo, Sergio; Risso, Fulvio; Ronzani, Daniele; Salsano, Stefano; Verticale, Giacomo. - In: IEEE VEHICULAR TECHNOLOGY MAGAZINE. - ISSN 1556-6072. - 19:3(2024), pp. 68-77. [10.1109/mvt.2024.3433670]

Morphable Networks For Cross-Layer And Cross-Domain Programmability: A Novel Network Paradigm

Molinaro, Antonella;
2024-01-01

Abstract

Next-generation networks are expected to adapt not only to a wide range of application demands but also to the specific needs of individual users, end device heterogeneity, and changing operational conditions. In this work, we discuss how to enhance the programmability of network devices (e.g., radio end devices, base stations, and routers) to achieve an unprecedented level of network adaptation and customization in 6G systems. We focus on two main innovations: full network programmability and morphable networking. The former breaks down traditional boundaries between protocol layers as well as domains (e.g., network segments, technological realms, and administrative domains); the latter enables the protocol stack of each network node to be dynamically and consistently reconfigured across different domains, enabled by embedded artificial intelligence (AI).
2024
Protocols
6G mobile communication
Hardware
Ecosystems
Radio access networks
Microservice architectures
Decision making
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12318/152426
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