COGNITIVE ACCESS CONTROL IN COGNITIVE HETEROGENEOUS NETWORKS

In this paper a framework and cognitive process behavior model for a novel type of adaptive data network was proposed. Furthermore, access network selection and admission control mechanisms are integrated into a procedure defined as access control. The access control mechanism is based on cognitive process, and enables all network elements involved to achieve self-awareness, self-configuration, and self-adaption. Both the terminal benefits and network benefits are considered, and the access control mechanism can dynamically modify itself to implement self-optimization. Simulations prove that cognitive access control mechanism proposed in this paper can achieve better performance than traditional access network selection and admission control mechanism.