Cognitive information-assisted energy efficiency design in green composition networks

To efficiently utilize network resource and significantly improve the overall energy efficiency (EE), an energy-efficient system architecture based on improved IEEE 1900.4 framework is presented with EE considerations among multi-levels of operators, core networks, radio access networks and terminals (OCRT). Furthermore, an EE optimal multi-level OCRT architecture and a corresponding triply-cycle-based-CRM (TCB-CRM) functional structure are proposed in this paper. Finally, an implementation scheme based on cognitive information cycle and a cognitive information interaction protocol are provided for EE optimization for green composition networks.