Cooperative energy detection spectrum sensing method based on Lightgbm algorithm

Abstract

The invention discloses a cooperative energy detection spectrum sensing method based on a Lightgbm algorithm. The method specifically comprises: in a cognitive wireless network, a secondary user detecting energy in a current channel environment and sending a result to a secondary user serving as a fusion center, and a primary user discontinuously sending a label indicating whether spectrum resources are used by the primary user or not to the fusion center; establishing a data set by using an energy detection-based method, wherein the Lightgbm algorithm specifically uses a gradient-based unilateral sampling technology and a unique feature binding technology; dividing the constructed energy feature vector set into a training set and a test set, and performing training and testing respectively; the fusion center distinguishing whether a channel is available or not, and informing all secondary users after a result is obtained. According to the method, under the condition that the false alarm rate 0.1 meeting the IEEE802.11 requirement is used, the detection rate is increased by 6%-7% compared with an SVM, and meanwhile the false classification rate and the false classification risk areremarkably reduced.

Description

technical field [0001] The invention belongs to the technical field of wireless communication and artificial intelligence. It specifically relates to a cooperative energy detection spectrum sensing method based on the Lightgbm algorithm. Background technique [0002] Cognitive wireless network is now widely accepted as an effective measure to improve the utilization of spectrum resources, and it will also become a part of future wireless network equipment. A crucial step in the realization of cognitive wireless networks is to successfully complete spectrum sensing, which allows unlicensed users to obtain licensed users' activity information, and then access unlicensed frequency bands while avoiding interference to licensed users' transmitters. Wherein, authorized users are also called primary users, and non-authorized users are also called secondary users. In the past decade, the spectrum sensing problem of cognitive wireless networks has attracted the attention and resear...

AI Technical Summary

Problems solved by technology

First of all, most of the existing work only considers a single master user, or does not consider a more general topology model. A large-scale network model that includes multiple authorized users may be more flexible in actual situations, such as WRAN, but it is in small It may not be applicable in the mobile primary user model, such as WPANs

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