A Cognitive Wireless Network Transmission Learning Method Oriented to Moderate Service

Abstract

The invention relates to a cognitive radio network transmission learning method for moderate business services. The method comprises the following steps: a step 1, collecting real-time business and priority information; a step 2, establishing a white space matrix and an interference matrix; a step 3, calculating a routing and a time delay according to a feasible action and a business transmission time of a node; a step 4, carrying out a distributed collaborative design of local information and a priority; a step 5, obtaining a degree of freedom of information exchange and a limiting condition of the degree of freedom; a step 6, carrying out self adaptation on multiple business applications via transmission collaboration and information exchange; a step 7, establishing spectrum switch according to distributed compulsory learning irrelevant to a model; and a step 8, checking whether user demands are satisfied according to quality of service. According to the cognitive radio network transmission learning method provided by the invention, the performance of diversity real-time demand business on a multi-hop cognitive radio network is improved by using the distributed compulsory learning irrelevant to the model, and the degree of freedom of information exchange is proposed to establish a comprehensive business data cross-layer management method, so that the entire work has business universality.

Description

technical field [0001] The invention provides a data transmission method for an end-to-end business moderate service, in particular to a cognitive process method using information exchange degrees of freedom in a cognitive wireless network, and belongs to the technical field of cognitive wireless network design and application. Background technique [0002] Cognitive radio is a frequency-sensitive wireless communication device with dynamic spectrum access. Its great potential has inspired the engineering, economic, and regulatory communities to seek better spectrum management and sharing guidelines. It is the next big thing in the future wireless communication field. event. The cognitive wireless network built on the basis of cognitive radio is a wireless network composed of terminals supporting cognitive radio technology, related infrastructure, and control strategies. Cognitive wireless networks have a series of sensing processes, in which time and space information of th...

AI Technical Summary

Problems solved by technology

[0004] However, the above problems have two technical challenges in the wireless environment: the first challenge is to meet the diverse business requirements in the horizontal direction, which requires the time-space distribution and priority of different traffic volumes for spectrum resources, and then make full use of the channel , interference, and dynamic change characteristics of services, analyze diverse service requirements, and finally identify available spectrum holes

The second challenge is to achieve cross-layer optimization of each layer (physical layer, MAC layer, routing layer, link layer) of the network architecture in the vertical direction, which requires a suitable frequency band allocation and rate adaptive method for secondary users (Unauthorized) requirements are confirmed, and the service quality requirements of secondary users are met without interference from primary users (authorized).

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