Construction method and system of resource flow in cognitive radio network

Abstract

The invention discloses a construction method and system of a resource flow in a cognitive radio network. The construction system comprises a resource identification module and a resource fluidization module. The construction method provided by the invention is a process for constructing the resource flow from multi-domain resource information through each submodule of the construction system. The construction method comprises the following specific steps of: obtaining the multi-domain resource information by multi-domain environment sensing equipment and reporting the information to the resource identification module of the construction system; then indentifying resource identification information by three submodules of the resource identification module and reporting the resource identification information to the resource fluidization module; and finally, constructing the resource flow by two submodules of the resource fluidization module of the construction system. According to the construction method and system provided by the invention, the multi-domain resource in the cognitive radio network can be efficiently utilized so that the optimum configuration of the resource flow and a business flow can be realized and the communication requirements of a user for an end-to-end efficacy can be met.

Description

technical field [0001] The invention belongs to the technical field of communication, and further relates to a method and system for constructing resource flow in a cognitive wireless network. The present invention provides a feasible resource flow construction method and system to ensure efficient utilization of multi-domain resources in cognitive wireless networks, realize optimal configuration of resource flows and service flows, and meet users' end-to-end performance communication requirements. Provide support and assistance for technical research and autonomous and efficient resource management in the field of cognitive wireless network communication. Background technique [0002] Facing the complex and changeable network environment and the increasing variety of network business requirements, traditional network technologies have been difficult to meet people's increasingly diverse business needs. As a new type of network technology, cognitive wireless network can mon...

AI Technical Summary

Problems solved by technology

However, the current types of resources are diverse, and the management and control methods are diverse. It is difficult to form a unified vertical cross-layer and horizontal cross-network management model, and the design of resource management and control solutions for the current heterogeneous cross-environment integration is even more severe.

At present, there are mainly problems: resulting in the incommunication of information between protocol layers, between users, between networks, and between environments, and resources are not shared, etc., which has a huge impact on the end-to-end performance of the network.

The disadvantage of this method is that this method only realizes the autonomous configuration of multi-domain resources based on resource flow, and does not propose a feasible method and system for the construction of resource flow in the multi-domain environment of cognitive wireless networks.

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