Full-duplex cognition radio network cooperation spectrum sensing method based on integrated learning

Abstract

The invention discloses a full-duplex cognition radio network cooperation spectrum sensing method based on integrated learning; the method is featured by comprising the following steps: 1, randomly forming positions of each secondary user in an area according to the Poisson point process distribution of the secondary users; 2, building a system framework according to work features sensed by the cooperation spectrum in the full-duplex cognition radio network; 3, building a secondary user energy detection model matched with a network model according to the self-interference and multi-signal source problems under the full-duplex mode; 4, analyzing and training statistic attributes of a concentration energy level vector; 5, selecting a single-layer decision tree as a weak classifier, and calculating each training data weighing coefficient and each weak classifier coefficient so as to build a strong classifier. The method can improve the system cooperation spectrum sensing performance, canincrease the radio frequency spectrum resource utilization rate, and can improve the cognition radio network throughput.

Description

technical field [0001] The invention relates to an integrated learning-based full-duplex cognitive radio network cooperative spectrum sensing method, which belongs to the technical field of radio networks. Background technique [0002] With the rapid development of wireless communication technology and the wide application of wireless communication systems, the contradiction between spectrum demand and resource scarcity has become one of the bottlenecks restricting the development of emerging wireless communication formats such as mobile Internet, Internet of Things, D2D communication, and M2M communication. The development of wireless communication services is becoming more and more diversified, and users have higher and higher requirements for communication, which leads to an increasingly serious problem of lack of spectrum resources. Facing such a severe challenge, there are only two existing countermeasures. On the one hand, the industry is focusing on the millimeter wav...

AI Technical Summary

Problems solved by technology

Facing such a severe challenge, there are only two existing countermeasures. On the one hand, the industry is focusing on the millimeter wave and visible light frequency bands, trying to find more wireless spectrum resources. However, due to the limitation of propagation characteristics, high-frequency radio waves are very Difficult to meet wide coverage requirements; on the other hand, committed to improving the utilization of existing wireless spectrum resources

Images