Abstract
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.
Highlights
From an end-to-end performance perspective, a multi-agent-based cognitive resource management (MA-CRM) framework is proposed in this article
More efficient cognitive resource management (CRM) strategies and algorithms have to be integrated in future mobile networks to further reduce capital expenditure (CAPEX) and operational expenditure (OPEX) [5,6,7,8,9]
*Corresponding author which determines the overall performance of the current communication systems and better guarantees the varying quality of service (QoS) of the different traffic flows [1,7,9]
Summary
The RF definition was motivated by that of traffic flows (TFs) given in [1,3,4], that is “A traffic flow is a logic group of packets which have a common attribute. This attribute may be the QoS class or the application the packets belong to”. Resource flow (RF): RF is logical unidirectional flow of resource locomotion, transfer, and transformation of different varieties/dimensions of resources in a wireless communication system. RF is high-level abstractions of different varieties/ dimensions of resources encountered by any traffic flows in a wireless communication system They include both a description of the resource itself and the process of resource locomotion, transfer, and transformation. RF describes the resource in the context of the radio (R), network (N), computing (C), and device (D) environment, and the streaming of RF describes the process of resource locomotion, transfer, and transformation
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