Cooperative energy detection spectrum sensing method based on Lightgbm algorithm

A technology of energy detection and spectrum sensing, which is applied in transmission monitoring, electrical components, transmission systems, etc., can solve the problems of single primary user, does not take into account the topology model, and is not applicable, so as to reduce the risk of misclassification, which is of great significance. strong practical effect

Inactive Publication Date: 2019-10-22
SOUTHWEST JIAOTONG UNIV
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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 mu

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  • Cooperative energy detection spectrum sensing method based on Lightgbm algorithm
  • Cooperative energy detection spectrum sensing method based on Lightgbm algorithm
  • Cooperative energy detection spectrum sensing method based on Lightgbm algorithm

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[0059] Example

[0060] The simulation experiment and the performance comparison of the SVM algorithm verify the availability and feasibility of the present invention based on the Lightgbm algorithm to solve the problem of cooperative energy detection spectrum sensing. The present invention is set in a geographical location-based cooperative spectrum sensing model, there are 16 unauthorized users, they are evenly distributed in a 4*4 grid, in addition to the attached figure 2 There are also two authorized users in the system model. The two-dimensional geographic locations are (500m, 1500m) and (-1500m, 0m). The simulation parameters are set as follows: the sensing time period is 100, the bandwidth is 5MHz, the noise power spectral density is -174dBm, the transmission power of each authorized user is 200mW, the path loss coefficient is 4, the multipath fading and shadow fading coefficients are both 1, The probability of each authorized user going online is 0.5. The excellent per...

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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...

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Application Information

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IPC IPC(8): H04B17/382
CPCH04B17/382
Inventor 邢焕来王成玮詹大为戴朋林罗寿西
Owner SOUTHWEST JIAOTONG UNIV
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