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

A cognitive radio and cooperative spectrum technology, applied in the field of radio networks, can solve the problems that radio waves are difficult to meet wide coverage requirements and propagation characteristics limitations, and achieve the effects of improving cooperative spectrum sensing performance, increasing throughput, and increasing utilization

Active Publication Date: 2018-07-03
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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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

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

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[0046] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0047] This method involves a cooperative spectrum sensing method for a full-duplex cognitive radio network based on ensemble learning. A full-duplex cognitive radio network refers to a working mode in which users can perform spectrum sensing and data transmission at the same time. Cooperative spectrum sensing refers to all The secondary users transmit the local perception data to the data fusion center for unified decision-making. In this method, each user collects energy level data through cooperative spectrum sensing. In traditional methods, supervised or unsupervised methods are used to predict the working status of the main user in the future. This paper uses the AdaBoost ensemble learning ...

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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...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B17/382H04B17/391
CPCH04B17/382H04B17/391
Inventor 姚其桢朱琨王然邓海
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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