A novel deep learning based time-varying channel prediction method
For high-speed mobile orthogonal frequency division multiplexing (OFDM) systems, a novel time-varying channel prediction method based on deep learning was proposed.To avoid the influence caused by random initialization of network parameters, the proposed method firstly obtains an ideal channel estim...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Beijing Xintong Media Co., Ltd
2021-01-01
|
| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021011/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841529071610101760 |
|---|---|
| author | Jie ZHANG Lihua YANG Zenghao WANG Bo HU Qian NIE |
| author_facet | Jie ZHANG Lihua YANG Zenghao WANG Bo HU Qian NIE |
| author_sort | Jie ZHANG |
| collection | DOAJ |
| description | For high-speed mobile orthogonal frequency division multiplexing (OFDM) systems, a novel time-varying channel prediction method based on deep learning was proposed.To avoid the influence caused by random initialization of network parameters, the proposed method firstly obtains an ideal channel estimation based on data and pilot, and then pre-trains the back propagation (BP) neural network based on the channel estimation to obtain the ideal network initial parameters.Then, based on the initial network value obtained by pre-training, the proposed method uses the channel estimation based on pilot to train the BP neural network again.Finally, the proposed method realizes the single-time-and multi-time prediction of time-varying channels through on-line prediction.Simulation results show that the proposed method can significantly improve the prediction accuracy of time-varying channels and has a low computational complexity. |
| format | Article |
| id | doaj-art-1684034b970c47d698a634ece5cac44f |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2021-01-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-1684034b970c47d698a634ece5cac44f2025-01-15T03:25:39ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012021-01-0137394759806280A novel deep learning based time-varying channel prediction methodJie ZHANGLihua YANGZenghao WANGBo HUQian NIEFor high-speed mobile orthogonal frequency division multiplexing (OFDM) systems, a novel time-varying channel prediction method based on deep learning was proposed.To avoid the influence caused by random initialization of network parameters, the proposed method firstly obtains an ideal channel estimation based on data and pilot, and then pre-trains the back propagation (BP) neural network based on the channel estimation to obtain the ideal network initial parameters.Then, based on the initial network value obtained by pre-training, the proposed method uses the channel estimation based on pilot to train the BP neural network again.Finally, the proposed method realizes the single-time-and multi-time prediction of time-varying channels through on-line prediction.Simulation results show that the proposed method can significantly improve the prediction accuracy of time-varying channels and has a low computational complexity.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021011/high-speed mobilityOFDMdeep learningBP neural networktime-varying channel predictionpre-training |
| spellingShingle | Jie ZHANG Lihua YANG Zenghao WANG Bo HU Qian NIE A novel deep learning based time-varying channel prediction method Dianxin kexue high-speed mobility OFDM deep learning BP neural network time-varying channel prediction pre-training |
| title | A novel deep learning based time-varying channel prediction method |
| title_full | A novel deep learning based time-varying channel prediction method |
| title_fullStr | A novel deep learning based time-varying channel prediction method |
| title_full_unstemmed | A novel deep learning based time-varying channel prediction method |
| title_short | A novel deep learning based time-varying channel prediction method |
| title_sort | novel deep learning based time varying channel prediction method |
| topic | high-speed mobility OFDM deep learning BP neural network time-varying channel prediction pre-training |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021011/ |
| work_keys_str_mv | AT jiezhang anoveldeeplearningbasedtimevaryingchannelpredictionmethod AT lihuayang anoveldeeplearningbasedtimevaryingchannelpredictionmethod AT zenghaowang anoveldeeplearningbasedtimevaryingchannelpredictionmethod AT bohu anoveldeeplearningbasedtimevaryingchannelpredictionmethod AT qiannie anoveldeeplearningbasedtimevaryingchannelpredictionmethod AT jiezhang noveldeeplearningbasedtimevaryingchannelpredictionmethod AT lihuayang noveldeeplearningbasedtimevaryingchannelpredictionmethod AT zenghaowang noveldeeplearningbasedtimevaryingchannelpredictionmethod AT bohu noveldeeplearningbasedtimevaryingchannelpredictionmethod AT qiannie noveldeeplearningbasedtimevaryingchannelpredictionmethod |