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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.

Intelligent network monitoring and self-governing decision-making in heterogeneous networks has been an active research topic especially in related to audio/video delivery over multi-access networks. In this paper, we introduce a policy and rule based Network Expert System (NES) component to assist automated resource and mobility management. NES is one of the core components added to the Distributed Control and Management Framework (DCMF) presented in [1]. Here, we present the design of the NES as well as the results obtained from our proof-of-concept implementation. We also show that the SelfOrganizing Map (SOM) based expert system utilized in NES is capable of providing solutions to resource and mobility management problems encountered in coexisting multi-operator networks. (Abstract)

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