Cognitive Autonomous Networks (CAN) deploys learning based Cognitive Functions (CF) instead of conventional rule-based SON Functions (SF) as Network Automation Functions (NAF) to increase the system autonomy. These CFs work in parallel sharing the same resources which give rise to conflicts among them which cannot be resolved using conventional rule based approach. Our main target is to design a Controller which can resolve any type of conflicts among the CFs in a dynamic way.
@article{arxiv.2010.10278,
title = {RAN Cognitive Controller},
author = {Anubhab Banerjee and Stephen S. Mwanje and Georg Carle},
journal= {arXiv preprint arXiv:2010.10278},
year = {2020}
}
Comments
presented in 2nd KuVS Fachgespraech "Machine Learning & Networking" workshop 2020 in Wuerzburg (online)