Deep learning-based scalable and robust channel estimator for wireless cellular networks
In this paper, we present a two-stage scalable channel estimator (TSCE), a deep learning (DL)-based scalable, and robust channel estimator for wireless cellular networks, which is made up of two DL networks to efficiently support different resource allocation sizes and reference signal configuration...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Electronics and Telecommunications Research Institute (ETRI)
2022-12-01
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| Series: | ETRI Journal |
| Subjects: | |
| Online Access: | https://doi.org/10.4218/etrij.2022-0209 |
| _version_ | 1797976985538920448 |
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| author | Anseok Lee Yongjin Kwon Hanjun Park Heesoo Lee |
| author_facet | Anseok Lee Yongjin Kwon Hanjun Park Heesoo Lee |
| author_sort | Anseok Lee |
| collection | DOAJ |
| description | In this paper, we present a two-stage scalable channel estimator (TSCE), a deep learning (DL)-based scalable, and robust channel estimator for wireless cellular networks, which is made up of two DL networks to efficiently support different resource allocation sizes and reference signal configurations. Both networks use the transformer, one of cutting-edge neural network architecture, as a backbone for accurate estimation. For computation-efficient global feature extractions, we propose using window and window averaging-based self-attentions. Our results show that TSCE learns wireless propagation channels correctly and outperforms both traditional estimators and baseline DL-based estimators. Additionally, scalability and robustness evaluations are performed, revealing that TSCE is more robust in various environments than the baseline DL-based estimators. |
| first_indexed | 2024-04-11T04:59:44Z |
| format | Article |
| id | doaj.art-4999f81b139547f98b86df31d3da9a2c |
| institution | Directory Open Access Journal |
| issn | 1225-6463 |
| language | English |
| last_indexed | 2024-04-11T04:59:44Z |
| publishDate | 2022-12-01 |
| publisher | Electronics and Telecommunications Research Institute (ETRI) |
| record_format | Article |
| series | ETRI Journal |
| spelling | doaj.art-4999f81b139547f98b86df31d3da9a2c2022-12-26T02:25:34ZengElectronics and Telecommunications Research Institute (ETRI)ETRI Journal1225-64632022-12-0144691592410.4218/etrij.2022-020910.4218/etrij.2022-0209Deep learning-based scalable and robust channel estimator for wireless cellular networksAnseok LeeYongjin KwonHanjun ParkHeesoo LeeIn this paper, we present a two-stage scalable channel estimator (TSCE), a deep learning (DL)-based scalable, and robust channel estimator for wireless cellular networks, which is made up of two DL networks to efficiently support different resource allocation sizes and reference signal configurations. Both networks use the transformer, one of cutting-edge neural network architecture, as a backbone for accurate estimation. For computation-efficient global feature extractions, we propose using window and window averaging-based self-attentions. Our results show that TSCE learns wireless propagation channels correctly and outperforms both traditional estimators and baseline DL-based estimators. Additionally, scalability and robustness evaluations are performed, revealing that TSCE is more robust in various environments than the baseline DL-based estimators.https://doi.org/10.4218/etrij.2022-0209channel estimationdeep learningwireless cellular networks |
| spellingShingle | Anseok Lee Yongjin Kwon Hanjun Park Heesoo Lee Deep learning-based scalable and robust channel estimator for wireless cellular networks ETRI Journal channel estimation deep learning wireless cellular networks |
| title | Deep learning-based scalable and robust channel estimator for wireless cellular networks |
| title_full | Deep learning-based scalable and robust channel estimator for wireless cellular networks |
| title_fullStr | Deep learning-based scalable and robust channel estimator for wireless cellular networks |
| title_full_unstemmed | Deep learning-based scalable and robust channel estimator for wireless cellular networks |
| title_short | Deep learning-based scalable and robust channel estimator for wireless cellular networks |
| title_sort | deep learning based scalable and robust channel estimator for wireless cellular networks |
| topic | channel estimation deep learning wireless cellular networks |
| url | https://doi.org/10.4218/etrij.2022-0209 |
| work_keys_str_mv | AT anseoklee deeplearningbasedscalableandrobustchannelestimatorforwirelesscellularnetworks AT yongjinkwon deeplearningbasedscalableandrobustchannelestimatorforwirelesscellularnetworks AT hanjunpark deeplearningbasedscalableandrobustchannelestimatorforwirelesscellularnetworks AT heesoolee deeplearningbasedscalableandrobustchannelestimatorforwirelesscellularnetworks |