Abstract
Future Internet will be highly heterogeneous supporting a multitude of access technologies with overlapping coverages. The automation and optimization of network operations like resource, mobility or QoS management in such a multi-access and multi-operator environment becomes a very challenging but vital task in order to ensure smooth network operation and user satisfaction. Cognitive network management is seen as the solution for this. However, any self* mechanism designed for small- scale networks and requiring an accurate view of the whole network status for decision-making will not be able to meet the future needs. In this paper, we propose a novel multi-access network management architecture targeted for large heterogeneous multi- access and multi-operator networks. The architecture introduces hierarchy to network management to ensure scalability. We also present results obtained from a case example of the proposed decision-making solution implemented to our cognitive network testbed.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.