Working paper Open Access
Building Realistic Experimentation Environments for AI-enhanced Management and Orchestration (MANO) of 5G and beyond V2X systems
Nina Slamnik-Kriještorac;
Miguel Camelo;
Luca Cominardi;
Steven Latré;
Johann M. Marquez-Barja
The plethora of heterogeneous and diversified services in 5G and beyond requires from networks to be flexible, adaptable, and programmable, i.e., to be able to correspondingly adapt to changes. As human intervention might significantly increase delays in MANagement and Orchestration (MANO) operations, automation and intelligence become imperative for orchestrating services and resources, especially the ones with stringent requirements for latency and capacity, such as Vehicle-to-Everything (V2X) services. As virtualization and Artificial Intelligence (AI) promise to mitigate those challenges towards enabling true automation in MANO operations, in this paper we present our effort towards building and fully utilizing the reallife testbeds, such as Smart Highway and Virtual Wall, located in Belgium, to conduct realistic experimentation and validation of distributed orchestration intelligence in a dynamic network such as V2X system.
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CCNC_WiP_2022.pdf
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- Publication date:
- December 8, 2021
- DOI:
-
- Keyword(s):
- mangement and orchestration NFV AI ML zenoh testbeds experimentation
- Grants:
-
European Commission:
- DAEMON - Network intelligence for aDAptive and sElf-Learning MObile Networks (101017109)
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International