Cooperative Spectrum Sensing Based on Convolutional Neural Networks
Cooperative spectrum sensing (CSS) is an important topic due to its capacity to solve the issue of the hidden terminal. However, the sensing performance of CSS is still poor, especially in low signal-to-noise ratio (SNR) situations. In this paper, convolutional neural networks (CNN) are considered t...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/10/4440 |
| _version_ | 1797534218896539648 |
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| author | Youheng Tan Xiaojun Jing |
| author_facet | Youheng Tan Xiaojun Jing |
| author_sort | Youheng Tan |
| collection | DOAJ |
| description | Cooperative spectrum sensing (CSS) is an important topic due to its capacity to solve the issue of the hidden terminal. However, the sensing performance of CSS is still poor, especially in low signal-to-noise ratio (SNR) situations. In this paper, convolutional neural networks (CNN) are considered to extract the features of the observed signal and, as a consequence, improve the sensing performance. More specifically, a novel two-dimensional dataset of the received signal is established and three classical CNN (LeNet, AlexNet and VGG-16)-based CSS schemes are trained and analyzed on the proposed dataset. In addition, sensing performance comparisons are made between the proposed CNN-based CSS schemes and the AND, OR, majority voting-based CSS schemes. The simulation results state that the sensing accuracy of the proposed schemes is greatly improved and the network depth helps with this. |
| first_indexed | 2024-03-10T11:26:33Z |
| format | Article |
| id | doaj.art-1a7564e2f0f54dcbbc2798264fb5a604 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T11:26:33Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-1a7564e2f0f54dcbbc2798264fb5a6042023-11-21T19:35:02ZengMDPI AGApplied Sciences2076-34172021-05-011110444010.3390/app11104440Cooperative Spectrum Sensing Based on Convolutional Neural NetworksYouheng Tan0Xiaojun Jing1School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaSchool of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaCooperative spectrum sensing (CSS) is an important topic due to its capacity to solve the issue of the hidden terminal. However, the sensing performance of CSS is still poor, especially in low signal-to-noise ratio (SNR) situations. In this paper, convolutional neural networks (CNN) are considered to extract the features of the observed signal and, as a consequence, improve the sensing performance. More specifically, a novel two-dimensional dataset of the received signal is established and three classical CNN (LeNet, AlexNet and VGG-16)-based CSS schemes are trained and analyzed on the proposed dataset. In addition, sensing performance comparisons are made between the proposed CNN-based CSS schemes and the AND, OR, majority voting-based CSS schemes. The simulation results state that the sensing accuracy of the proposed schemes is greatly improved and the network depth helps with this.https://www.mdpi.com/2076-3417/11/10/4440cooperative spectrum sensingconvolutional neural networksLeNetAlexNetVGG-16 |
| spellingShingle | Youheng Tan Xiaojun Jing Cooperative Spectrum Sensing Based on Convolutional Neural Networks Applied Sciences cooperative spectrum sensing convolutional neural networks LeNet AlexNet VGG-16 |
| title | Cooperative Spectrum Sensing Based on Convolutional Neural Networks |
| title_full | Cooperative Spectrum Sensing Based on Convolutional Neural Networks |
| title_fullStr | Cooperative Spectrum Sensing Based on Convolutional Neural Networks |
| title_full_unstemmed | Cooperative Spectrum Sensing Based on Convolutional Neural Networks |
| title_short | Cooperative Spectrum Sensing Based on Convolutional Neural Networks |
| title_sort | cooperative spectrum sensing based on convolutional neural networks |
| topic | cooperative spectrum sensing convolutional neural networks LeNet AlexNet VGG-16 |
| url | https://www.mdpi.com/2076-3417/11/10/4440 |
| work_keys_str_mv | AT youhengtan cooperativespectrumsensingbasedonconvolutionalneuralnetworks AT xiaojunjing cooperativespectrumsensingbasedonconvolutionalneuralnetworks |