학술논문

Building Realistic Experimentation Environments for AI-enhanced Management and Orchestration (MANO) of 5G and beyond V2X systems
Document Type
Conference
Source
2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC) Consumer Communications & Networking Conference (CCNC), 2022 IEEE 19th Annual. :437-440 Jan, 2022
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Robotics and Control Systems
Road transportation
Automation
5G mobile communication
Buildings
Heterogeneous networks
Delays
Artificial intelligence
management and orchestration
NFV
AI
ML
zenoh
testbeds
experimentation
Language
ISSN
2331-9860
Abstract
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 real-life 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.