A cognitive RBAC model with handover functions in small heterogeneous networks

In communication networks, a cognitive network (CN) is a new type of data network which is used to solve some of the problems that face current networks. Cognitive radio (CR) is part of a cognitive network and a smart wireless communication system. CR is conscious of its surrounding environment, learns from the environment and adapts its internal states by making corresponding real-time changes in certain operating parameters. In this paper, we propose a Cognitive RBAC scheme which can be applied to Small Heterogeneous Networks (SHNs) with handover function. We propose the Cognitive RBAC model applying with handover function in SHNs by extending from the well-known RBAC model. The required definitions for the model are proposed in this paper. They can increase the ability of the conventional RBAC model to meet new challenges. In our scheme, we assume that Cognitive Server (CS) provides and manages the permissions of services, and also supports a variety of CRs and CNs. For more efficiently managing CR and CN and meeting the SHNs, we let a mobile user actively perceive current network situations to get permissions and access corresponding services under the negotiation made among CSs to get better QoS if handover occurs either by Inter-CS Handover or Intra-CS Handover. In this paper, the cognitive RBAC functions and their definitions are proposed and defined for new applications in a SHN environment.