Architecture and Behavioral Model for Future Cognitive Heterogeneous Networks
Guangquan Chen, Yong Zhang, Mei Na Song, Yinglei Teng, Ruijun Feng · 2009
Cognitive wireless networks are potential and competitive candidates for future self-configuring, self-optimizing and self-healing heterogeneous networks. This paper presents an architecture for future cognitive heterogeneous networks by introducing intelligent nodes. We further elaborate on the fundamental and implementation challenges which need to be solved to make cognitive heterogeneous networks reality. The dynamic and distributed intelligent nodes are specifically designed with the capability of perceiving current network conditions and then planning, learning, and acting according to network's end-to-end goals. We also shortly describe the behavioral model for cognitive heterogeneous networks based on layered protocol.