IFIP_Networking_paper_techrxiv.pdf (431.85 kB)
Download fileContradiction Management in Intent-driven Cognitive Autonomous RAN
preprint
posted on 2022-05-12, 19:23 authored by Anubhab BanerjeeAnubhab Banerjee, Stephen S Mwanje, Georg CarleIntent 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.
History
Email Address of Submitting Author
anubhab.1.banerjee@nokia.comORCID of Submitting Author
0000-0003-2580-338XSubmitting Author's Institution
Nokia Bell Labs, Technical University of MunichSubmitting Author's Country
- Germany