CSI feedback algorithm based on RM-Net for massive MIMO systems in high-speed mobile environment
Aiming at the complex and changeable channel characteristics in high-speed mobile environment, and the influence of additive noise and nonlinear effects, a residual mixing network (RM-Net) for massive MIMO CSI feedback was proposed.By learning the spatial structure and temporal correlation of high-s...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2022-05-01
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| Series: | Tongxin xuebao |
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| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022097/ |
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| author | Yong LIAO Shiyi WANG |
| author_facet | Yong LIAO Shiyi WANG |
| author_sort | Yong LIAO |
| collection | DOAJ |
| description | Aiming at the complex and changeable channel characteristics in high-speed mobile environment, and the influence of additive noise and nonlinear effects, a residual mixing network (RM-Net) for massive MIMO CSI feedback was proposed.By learning the spatial structure and temporal correlation of high-speed mobile channel, the network was able to remove massive MIMO channel noise, and the CSI compression rate and recovery quality could be significantly improved.System simulation results show that RM-Net can eliminate the influence of additive noise in high-speed mobile scenarios, learn and adapt to the channel characteristics of sparse and double-selective fading channels, and still has good performance under the conditions of high compression rate and low signal-to-noise ratio.The proposed algorithm performance is much better than other CS-based and DL-based CSI feedback algorithms. |
| format | Article |
| id | doaj-art-75c705118926460f9ffad710bdb5f1b2 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2022-05-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-75c705118926460f9ffad710bdb5f1b22025-01-14T06:29:56ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2022-05-014316617659395795CSI feedback algorithm based on RM-Net for massive MIMO systems in high-speed mobile environmentYong LIAOShiyi WANGAiming at the complex and changeable channel characteristics in high-speed mobile environment, and the influence of additive noise and nonlinear effects, a residual mixing network (RM-Net) for massive MIMO CSI feedback was proposed.By learning the spatial structure and temporal correlation of high-speed mobile channel, the network was able to remove massive MIMO channel noise, and the CSI compression rate and recovery quality could be significantly improved.System simulation results show that RM-Net can eliminate the influence of additive noise in high-speed mobile scenarios, learn and adapt to the channel characteristics of sparse and double-selective fading channels, and still has good performance under the conditions of high compression rate and low signal-to-noise ratio.The proposed algorithm performance is much better than other CS-based and DL-based CSI feedback algorithms.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022097/high-speed mobilitymassive MIMOCSI feedbackdeep learningdenoising |
| spellingShingle | Yong LIAO Shiyi WANG CSI feedback algorithm based on RM-Net for massive MIMO systems in high-speed mobile environment Tongxin xuebao high-speed mobility massive MIMO CSI feedback deep learning denoising |
| title | CSI feedback algorithm based on RM-Net for massive MIMO systems in high-speed mobile environment |
| title_full | CSI feedback algorithm based on RM-Net for massive MIMO systems in high-speed mobile environment |
| title_fullStr | CSI feedback algorithm based on RM-Net for massive MIMO systems in high-speed mobile environment |
| title_full_unstemmed | CSI feedback algorithm based on RM-Net for massive MIMO systems in high-speed mobile environment |
| title_short | CSI feedback algorithm based on RM-Net for massive MIMO systems in high-speed mobile environment |
| title_sort | csi feedback algorithm based on rm net for massive mimo systems in high speed mobile environment |
| topic | high-speed mobility massive MIMO CSI feedback deep learning denoising |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022097/ |
| work_keys_str_mv | AT yongliao csifeedbackalgorithmbasedonrmnetformassivemimosystemsinhighspeedmobileenvironment AT shiyiwang csifeedbackalgorithmbasedonrmnetformassivemimosystemsinhighspeedmobileenvironment |