Res-DNN based signal detection algorithm for end-to-end MIMO systems
Deep learning can improve the effect of signal detection by extracting the inherent characteristics of wireless communication data.To solve the tradeoff between the performance and complexity of MIMO system signal detection, an end-to-end MIMO system signal detection scheme based on deep learning wa...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
China InfoCom Media Group
2022-03-01
|
| Series: | 物联网学报 |
| Subjects: | |
| Online Access: | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2022.00256/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841533782802300928 |
|---|---|
| author | Guoquan LI Yonghai XU Jinzhao LIN Zhengwen HUANG |
| author_facet | Guoquan LI Yonghai XU Jinzhao LIN Zhengwen HUANG |
| author_sort | Guoquan LI |
| collection | DOAJ |
| description | Deep learning can improve the effect of signal detection by extracting the inherent characteristics of wireless communication data.To solve the tradeoff between the performance and complexity of MIMO system signal detection, an end-to-end MIMO system signal detection scheme based on deep learning was proposed.The encoder and the decoder based on residual deep neural network replace the transmitter and the receiver of the wireless communication system respectively, and they were trained in an end-to-end manner as a whole.Firstly, the features of the input data were extracted by encoder, then the communication model was established and was sent to the zero forcing detector for preliminary detection.Finally, the detection signal was reconstructed through the decoder.Simulation results show that the proposed detection scheme is superior to the same type of algorithm, and the detection performance is significantly better than that of the MMSE detection algorithm at the expense of a certain time complexity. |
| format | Article |
| id | doaj-art-0f80e76f986b40b39d2bbaadc30b465c |
| institution | Kabale University |
| issn | 2096-3750 |
| language | zho |
| publishDate | 2022-03-01 |
| publisher | China InfoCom Media Group |
| record_format | Article |
| series | 物联网学报 |
| spelling | doaj-art-0f80e76f986b40b39d2bbaadc30b465c2025-01-15T02:53:31ZzhoChina InfoCom Media Group物联网学报2096-37502022-03-016657259648902Res-DNN based signal detection algorithm for end-to-end MIMO systemsGuoquan LIYonghai XUJinzhao LINZhengwen HUANGDeep learning can improve the effect of signal detection by extracting the inherent characteristics of wireless communication data.To solve the tradeoff between the performance and complexity of MIMO system signal detection, an end-to-end MIMO system signal detection scheme based on deep learning was proposed.The encoder and the decoder based on residual deep neural network replace the transmitter and the receiver of the wireless communication system respectively, and they were trained in an end-to-end manner as a whole.Firstly, the features of the input data were extracted by encoder, then the communication model was established and was sent to the zero forcing detector for preliminary detection.Finally, the detection signal was reconstructed through the decoder.Simulation results show that the proposed detection scheme is superior to the same type of algorithm, and the detection performance is significantly better than that of the MMSE detection algorithm at the expense of a certain time complexity.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2022.00256/deep learningMIMO systemsignal detectionRes-DNNend-to-end |
| spellingShingle | Guoquan LI Yonghai XU Jinzhao LIN Zhengwen HUANG Res-DNN based signal detection algorithm for end-to-end MIMO systems 物联网学报 deep learning MIMO system signal detection Res-DNN end-to-end |
| title | Res-DNN based signal detection algorithm for end-to-end MIMO systems |
| title_full | Res-DNN based signal detection algorithm for end-to-end MIMO systems |
| title_fullStr | Res-DNN based signal detection algorithm for end-to-end MIMO systems |
| title_full_unstemmed | Res-DNN based signal detection algorithm for end-to-end MIMO systems |
| title_short | Res-DNN based signal detection algorithm for end-to-end MIMO systems |
| title_sort | res dnn based signal detection algorithm for end to end mimo systems |
| topic | deep learning MIMO system signal detection Res-DNN end-to-end |
| url | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2022.00256/ |
| work_keys_str_mv | AT guoquanli resdnnbasedsignaldetectionalgorithmforendtoendmimosystems AT yonghaixu resdnnbasedsignaldetectionalgorithmforendtoendmimosystems AT jinzhaolin resdnnbasedsignaldetectionalgorithmforendtoendmimosystems AT zhengwenhuang resdnnbasedsignaldetectionalgorithmforendtoendmimosystems |