Hierarchical cognition cycle: Making cognitive radio networks more intelligent

摘要

Cognitive radio (CR) is viewed as a promising technology that can bring about remarkable improvement in spectrum utilization. Different cognition cycles have been proposed to direct basic research areas in CR. However, most of the existing studies only emphasize on its functional or operational aspects regardless of the intelligent core, the essential aspect, and the external aspect of cognition cycle. In this paper, we propose hierarchical cognition cycle (HCC) as a new transdisciplinary research field to deal with the emerging situation of “data rich, information vague, knowledge poor” in cognitive radio networks (CRNs). HCC investigates the basic theories and key technologies about how to intelligently manage available resources in the complex environment to meet various demands in CRN. A comprehensive theoretical framework of HCC is established in terms of the core, essence loop, function loop, operation loop, and external loop of HCC. Furthermore, a few research challenges ahead are presented in this paper as well.