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Contradiction Management in Intent-driven Cognitive Autonomous RAN

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posted on 22.09.2021, 05:38 by Anubhab BanerjeeAnubhab Banerjee, Stephen S Mwanje, Georg Carle
Intent Based Networks (IBNs) are mainly used to transform a user's intent into network configuration, operation, and maintenance strategies. IBN is a prominent feature for designing the AI-enabled next generation networks. In this paper we propose intent-driven orchestration of cognitive autonomous RAN for managing network control parameters.
Our proposed design enables the Controller to detect and remove contradiction, which may arise from a single intent, in the runtime. We also provide a brief overview of existing standards on this aspect and standardization impact of our research to show that it conforms with the worldwide mobile network management standardization efforts.

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Email Address of Submitting Author

anubhab.1.banerjee@nokia.com

ORCID of Submitting Author

0000-0003-2580-338X

Submitting Author's Institution

Nokia Bell Labs, Technical University of Munich

Submitting Author's Country

Germany

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