An Uplink Channel Estimator Using a Dedicated Instruction Set for 5G Small Cells
As 5G small cells gradually become the main force of 5G indoor deployment, it is necessary to study channel estimators for 5G small base stations, but there has been limited research on high-performance channel estimators in recent years. This study implemented a low-delay, low-overhead, relatively...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-01-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/3/753 |
| _version_ | 1797484879380742144 |
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| author | Biao Long Dake Liu Yipeng Sun |
| author_facet | Biao Long Dake Liu Yipeng Sun |
| author_sort | Biao Long |
| collection | DOAJ |
| description | As 5G small cells gradually become the main force of 5G indoor deployment, it is necessary to study channel estimators for 5G small base stations, but there has been limited research on high-performance channel estimators in recent years. This study implemented a low-delay, low-overhead, relatively universal channel estimation module by dedicated instruction set acceleration including reference signal estimation, Wiener, 1st order, and 2nd order interpolations in frequency and time domains. The instruction level acceleration is on our vector processor, yet is suitable for other commercial and academic vector processors. Through instruction acceleration, compared with the existing general vector processing instruction sets, the processor performance of the LS estimation module and Wiener filter interpolation in the frequency domain is improved by 50% and 37.5%, respectively. The BER VS SNR measure of time–frequency Wiener filter interpolation achieves 4 db compared with linear interpolation, meaning our instruction level acceleration can be an optimum solution. |
| first_indexed | 2024-03-09T23:10:51Z |
| format | Article |
| id | doaj.art-8751306873be4e7fa8ac6276bce7dc4f |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T23:10:51Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-8751306873be4e7fa8ac6276bce7dc4f2023-11-23T17:44:46ZengMDPI AGSensors1424-82202022-01-0122375310.3390/s22030753An Uplink Channel Estimator Using a Dedicated Instruction Set for 5G Small CellsBiao Long0Dake Liu1Yipeng Sun2State Key Laboratory of Marine Resource Utilization in South China Sea, School of Information and Communication Engineering, Hainan University, Haikou 570228, ChinaState Key Laboratory of Marine Resource Utilization in South China Sea, School of Information and Communication Engineering, Hainan University, Haikou 570228, ChinaState Key Laboratory of Marine Resource Utilization in South China Sea, School of Information and Communication Engineering, Hainan University, Haikou 570228, ChinaAs 5G small cells gradually become the main force of 5G indoor deployment, it is necessary to study channel estimators for 5G small base stations, but there has been limited research on high-performance channel estimators in recent years. This study implemented a low-delay, low-overhead, relatively universal channel estimation module by dedicated instruction set acceleration including reference signal estimation, Wiener, 1st order, and 2nd order interpolations in frequency and time domains. The instruction level acceleration is on our vector processor, yet is suitable for other commercial and academic vector processors. Through instruction acceleration, compared with the existing general vector processing instruction sets, the processor performance of the LS estimation module and Wiener filter interpolation in the frequency domain is improved by 50% and 37.5%, respectively. The BER VS SNR measure of time–frequency Wiener filter interpolation achieves 4 db compared with linear interpolation, meaning our instruction level acceleration can be an optimum solution.https://www.mdpi.com/1424-8220/22/3/7535G small cellchannel estimatorWiener filter interpolationdedicated instruction set acceleration |
| spellingShingle | Biao Long Dake Liu Yipeng Sun An Uplink Channel Estimator Using a Dedicated Instruction Set for 5G Small Cells Sensors 5G small cell channel estimator Wiener filter interpolation dedicated instruction set acceleration |
| title | An Uplink Channel Estimator Using a Dedicated Instruction Set for 5G Small Cells |
| title_full | An Uplink Channel Estimator Using a Dedicated Instruction Set for 5G Small Cells |
| title_fullStr | An Uplink Channel Estimator Using a Dedicated Instruction Set for 5G Small Cells |
| title_full_unstemmed | An Uplink Channel Estimator Using a Dedicated Instruction Set for 5G Small Cells |
| title_short | An Uplink Channel Estimator Using a Dedicated Instruction Set for 5G Small Cells |
| title_sort | uplink channel estimator using a dedicated instruction set for 5g small cells |
| topic | 5G small cell channel estimator Wiener filter interpolation dedicated instruction set acceleration |
| url | https://www.mdpi.com/1424-8220/22/3/753 |
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