Spectrum Sensing Meets ISAC: An Spectrum Detection Scheme for ISAC Services Based on Improved Denoising Auto-Encoder and CNN
Integrated Sensing and Communications (ISAC) has attracted increasing attention due to more efficient utilization of both radio spectrum and hardwares. However, ISAC can only relieve the shortage of the spectrum, especially in the situation of exponential growth of wireless terminals. Efficient spec...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-03-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/6/3381 |
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| author | Yuebo Li Hengguo Song Xiaoyang Ren Zhiyue Zhang Sichao Cheng Xiaojun Jing |
| author_facet | Yuebo Li Hengguo Song Xiaoyang Ren Zhiyue Zhang Sichao Cheng Xiaojun Jing |
| author_sort | Yuebo Li |
| collection | DOAJ |
| description | Integrated Sensing and Communications (ISAC) has attracted increasing attention due to more efficient utilization of both radio spectrum and hardwares. However, ISAC can only relieve the shortage of the spectrum, especially in the situation of exponential growth of wireless terminals. Efficient spectrum utilization strategy is still an important direction for the continuous evolution of wireless communication technology. As such, spectrum sensing (SS) is discussed in ISAC scenarios, and a novel cooperative SS scheme is proposed by as an improved auto-encoder for more efficient spectrum utilization. More specifically, the parameters of each local spectrum spectrum-sensing network are encoded and sent to the central server, and the local network parameters are decoded, fused, and returned to each local node at the central server. The simulations are designed, and the experiment results demonstrate the effectiveness of the proposed scheme. |
| format | Article |
| id | doaj-art-7ada6ebc46024e2a82f0573b59aface1 |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-7ada6ebc46024e2a82f0573b59aface12025-08-20T03:43:26ZengMDPI AGApplied Sciences2076-34172025-03-01156338110.3390/app15063381Spectrum Sensing Meets ISAC: An Spectrum Detection Scheme for ISAC Services Based on Improved Denoising Auto-Encoder and CNNYuebo Li0Hengguo Song1Xiaoyang Ren2Zhiyue Zhang3Sichao Cheng4Xiaojun Jing5Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaInformation and Communication Center, China Academy of Information and Communications Technology, Beijing 100876, ChinaInformation and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaInformation and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaInformation and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaInformation and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaIntegrated Sensing and Communications (ISAC) has attracted increasing attention due to more efficient utilization of both radio spectrum and hardwares. However, ISAC can only relieve the shortage of the spectrum, especially in the situation of exponential growth of wireless terminals. Efficient spectrum utilization strategy is still an important direction for the continuous evolution of wireless communication technology. As such, spectrum sensing (SS) is discussed in ISAC scenarios, and a novel cooperative SS scheme is proposed by as an improved auto-encoder for more efficient spectrum utilization. More specifically, the parameters of each local spectrum spectrum-sensing network are encoded and sent to the central server, and the local network parameters are decoded, fused, and returned to each local node at the central server. The simulations are designed, and the experiment results demonstrate the effectiveness of the proposed scheme.https://www.mdpi.com/2076-3417/15/6/3381Integrated Sensing and Communicationsspectrum sensingdenoising auto-encoder |
| spellingShingle | Yuebo Li Hengguo Song Xiaoyang Ren Zhiyue Zhang Sichao Cheng Xiaojun Jing Spectrum Sensing Meets ISAC: An Spectrum Detection Scheme for ISAC Services Based on Improved Denoising Auto-Encoder and CNN Applied Sciences Integrated Sensing and Communications spectrum sensing denoising auto-encoder |
| title | Spectrum Sensing Meets ISAC: An Spectrum Detection Scheme for ISAC Services Based on Improved Denoising Auto-Encoder and CNN |
| title_full | Spectrum Sensing Meets ISAC: An Spectrum Detection Scheme for ISAC Services Based on Improved Denoising Auto-Encoder and CNN |
| title_fullStr | Spectrum Sensing Meets ISAC: An Spectrum Detection Scheme for ISAC Services Based on Improved Denoising Auto-Encoder and CNN |
| title_full_unstemmed | Spectrum Sensing Meets ISAC: An Spectrum Detection Scheme for ISAC Services Based on Improved Denoising Auto-Encoder and CNN |
| title_short | Spectrum Sensing Meets ISAC: An Spectrum Detection Scheme for ISAC Services Based on Improved Denoising Auto-Encoder and CNN |
| title_sort | spectrum sensing meets isac an spectrum detection scheme for isac services based on improved denoising auto encoder and cnn |
| topic | Integrated Sensing and Communications spectrum sensing denoising auto-encoder |
| url | https://www.mdpi.com/2076-3417/15/6/3381 |
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