Architecture and behavioral model for future cognitive heterogeneous networks

  • Authors:

  • Guangquan Chen;Yong Zhang;Mei Song;Yinglei Teng;Ruijun Feng

  • Affiliations:

  • Department of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China;Department of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China;Department of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China;Department of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China;Department of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China

  • Venue:
  • WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
  • Year:
  • 2009

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Abstract

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.