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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| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2022-05-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022097/ |
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| Summary: | 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. |
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| ISSN: | 1000-436X |