Spectrum sensing method in cognitive wireless network environment

Abstract

The invention discloses a spectrum sensing method in a cognitive wireless network environment. The method comprises the following steps: a data set is constructed, and a secondary user in the cognitive wireless network detects the primary user; each secondary user collects the energy value in the channel and sends the energy value to the fusion center, the fusion center takes the energy values sent by all the secondary users as feature vectors, the primary user in the cognitive wireless network discontinuously sends the working state of the primary user to the fusion center, and the fusion center takes the working state sent by the primary user as a data set label; the data set is trained through an Xgboost algorithm to obtain a machine learning model of a current channel sensing result; after the trained model is obtained, the secondary user continues to collect the energy value in the channel and sends the energy value to the fusion center as test data, so that the Xgboost algorithmmodel of the fusion center performs spectrum sensing in the cognitive radio network environment. According to the method disclosed in the invention, the performance deficiency of a machine learning algorithm in the spectrum sensing problem in the prior art is improved.

Description

Technical field [0001] The invention relates to the technical field of wireless communication and artificial intelligence, in particular to a method for spectrum sensing in a cognitive wireless network environment. Background technique [0002] The concept of cognitive wireless network was proposed in order to effectively improve the utilization rate of spectrum resources when wireless communication systems were designed, due to the scarcity of wireless spectrum resources in recent years. Cognitive wireless networks rely on smart wireless communication devices that can sense the electromagnetic working environment to dynamically and adaptively adjust their own radio operating parameters. Here, opportunistic spectrum access is very important, which means that the cognitive user should access the frequency band in a timely manner when the main user's transmitter is detected to be offline. For opportunistic spectrum intervention, cognitive users must use some means to achieve the p...

AI Technical Summary

Problems solved by technology

[0005] The main purpose of the present invention is to provide a cooperative spectrum sensing method based on the Xgboost algorithm in a cognitive wireless network environment to solve the problems of high risk of misclassification and low detection rate in the prior art

Images