Dynamic Resource Management for Cellular Cognitive Networking

Abstract

Mobile networks are going to experience some major changes in the coming years in order to hold the continuously increasing load which is engendered by the increasing phones. And among those, the one which is more dynamic to the network assets is the Cognitive networking, which help to adopt to the mobile demands in consuming resources. Cognitive networking techniques have the capability of mining huge amounts of mobile traffic data collected in the network. So that it understands the resource utilization of current status of network at automatically. The proposed work is to analyze the allocation of the assets in the cognitive network, fabricate the profile on demand and avoid unusual situations in networks. And to evaluate this framework , real world mobile traffic datasets are used.And even singles out a large number of outlying behaviors in real world mobile traffic datasets, which are mapped to social events or technical issues in the network.