A NOVEL COMBINED NETWORK TRAFFIC PREDICTION MODEL IN COGNITIVE NETWORKS

摘要

With the development of the network technology, the concept of Cognitive Network has been proposed and studied, and various kinds of algorithms and models in Cognitive Networks thus have become an hot topic of research. This paper proposes a novel model, which includes three stages. The proposed model may achieve a high-precision traffic prediction in cognitive networks. The model solves some problems in cognitive networks, such as low adaptive capability and an easy trap in local optimum when coming up with a fluctuated network flow.