Resource flow: Autonomous cognitive resource management framework for future networks

From an end-to-end performance perspective, a multi-agent-based cognitive resource management (MA-CRM) framework is proposed in this article. More importantly, we introduce a novel concept of resource flow (RF) as integrated CRM in a multi-dimensional environment scenario. We concentrate on the autonomous CRM framework in cognitive radio (CR) networks. Specifically, we first summarize the necessity of the novel concept for implementing intelligent and autonomous resource management considering both the requirements of various types of resource and the unified framework of the CRM scheme. Then, we introduce the concept of RF, including the technical aspects, purpose, classification, and description. Finally, we give a use case of RF for autonomous CRM, where the optimal RF is achieved to guarantee the resource-imbalanced requests of different service traffic flows.