RIS-Assisted Multi-Antenna AmBC Signal Detection Using Deep Reinforcement Learning
Signal detection is one of the most critical and challenging issues in ambient backscatter communication (AmBC) systems. In this paper, a multi-antenna AmBC signal detection method is proposed based on reconfigurable intelligent surface (RIS) and deep reinforcement learning. Firstly, an efficient mu...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-08-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/16/6137 |
| _version_ | 1797408024652939264 |
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| author | Feng Jing Hailin Zhang Mei Gao Bin Xue Kunrui Cao |
| author_facet | Feng Jing Hailin Zhang Mei Gao Bin Xue Kunrui Cao |
| author_sort | Feng Jing |
| collection | DOAJ |
| description | Signal detection is one of the most critical and challenging issues in ambient backscatter communication (AmBC) systems. In this paper, a multi-antenna AmBC signal detection method is proposed based on reconfigurable intelligent surface (RIS) and deep reinforcement learning. Firstly, an efficient multi-antenna AmBC system is developed based on RIS, which can achieve information transmission and energy collection simultaneously. Secondly, a smart twin delayed deep deterministic (TD3) AmBC signal detection method is presented, based on deep reinforcement learning. Extensive quantitative and qualitative experiments are performed, which show that the proposed method is more compelling than the outstanding comparison methods. |
| first_indexed | 2024-03-09T03:51:19Z |
| format | Article |
| id | doaj.art-445af1c5da8142a89b5beea0e0b7abe0 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T03:51:19Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-445af1c5da8142a89b5beea0e0b7abe02023-12-03T14:26:40ZengMDPI AGSensors1424-82202022-08-012216613710.3390/s22166137RIS-Assisted Multi-Antenna AmBC Signal Detection Using Deep Reinforcement LearningFeng Jing0Hailin Zhang1Mei Gao2Bin Xue3Kunrui Cao4School of Telecommunication Engineering, Xidian University, Xi’an 710126, ChinaSchool of Telecommunication Engineering, Xidian University, Xi’an 710126, ChinaSchool of Telecommunication Engineering, Xidian University, Xi’an 710126, ChinaSchool of Information and Communication, National University of Defense Technology, Xi’an 430035, ChinaSchool of Information and Communication, National University of Defense Technology, Xi’an 430035, ChinaSignal detection is one of the most critical and challenging issues in ambient backscatter communication (AmBC) systems. In this paper, a multi-antenna AmBC signal detection method is proposed based on reconfigurable intelligent surface (RIS) and deep reinforcement learning. Firstly, an efficient multi-antenna AmBC system is developed based on RIS, which can achieve information transmission and energy collection simultaneously. Secondly, a smart twin delayed deep deterministic (TD3) AmBC signal detection method is presented, based on deep reinforcement learning. Extensive quantitative and qualitative experiments are performed, which show that the proposed method is more compelling than the outstanding comparison methods.https://www.mdpi.com/1424-8220/22/16/6137reconfigurable intelligent surfaceambient backscatter communicationsignal detectionmulti-antennadeep reinforcement learning |
| spellingShingle | Feng Jing Hailin Zhang Mei Gao Bin Xue Kunrui Cao RIS-Assisted Multi-Antenna AmBC Signal Detection Using Deep Reinforcement Learning Sensors reconfigurable intelligent surface ambient backscatter communication signal detection multi-antenna deep reinforcement learning |
| title | RIS-Assisted Multi-Antenna AmBC Signal Detection Using Deep Reinforcement Learning |
| title_full | RIS-Assisted Multi-Antenna AmBC Signal Detection Using Deep Reinforcement Learning |
| title_fullStr | RIS-Assisted Multi-Antenna AmBC Signal Detection Using Deep Reinforcement Learning |
| title_full_unstemmed | RIS-Assisted Multi-Antenna AmBC Signal Detection Using Deep Reinforcement Learning |
| title_short | RIS-Assisted Multi-Antenna AmBC Signal Detection Using Deep Reinforcement Learning |
| title_sort | ris assisted multi antenna ambc signal detection using deep reinforcement learning |
| topic | reconfigurable intelligent surface ambient backscatter communication signal detection multi-antenna deep reinforcement learning |
| url | https://www.mdpi.com/1424-8220/22/16/6137 |
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