Detector Processor for a 5G Base Station
Nonlinear soft bit detection is essential for the uplink receivers of 5G base stations, especially for users around the cell edge. However, its throughput and computing complexity are always challenges for both research and industry. A low-cost and low-power parallel implementation of a soft-output...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-10-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/20/7731 |
| _version_ | 1797470027181457408 |
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| author | Cao Niu Dake Liu |
| author_facet | Cao Niu Dake Liu |
| author_sort | Cao Niu |
| collection | DOAJ |
| description | Nonlinear soft bit detection is essential for the uplink receivers of 5G base stations, especially for users around the cell edge. However, its throughput and computing complexity are always challenges for both research and industry. A low-cost and low-power parallel implementation of a soft-output detector based on sorted QR decomposition (SQRD) and the K-best breadth-first search algorithm is thus proposed to reduce computational complexity and latency. In addition, to save area and reduce latency, two improvement methods are used: (1) reduce the computing cost by saturating and truncating large values during PED computing and (2) reduce the sorting cost by using the binary bit sorting method for a reduced sample set with finite accuracy. Furthermore, a pipelined VLSI architecture is designed using 28-nm digital CMOS technology offered by Semiconductor Manufacturing International Corporation (SMIC). It can achieve a peak throughput of 6400 Mbps while consuming 153 K gates (including all flip-flops) for SMIC’s 28-nm technology and running at 800 MHz, a 32% cost reduction compared with the published reference design. |
| first_indexed | 2024-03-09T19:30:56Z |
| format | Article |
| id | doaj.art-a95cdf65eb7740b7a9a4a5b3874a95df |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T19:30:56Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-a95cdf65eb7740b7a9a4a5b3874a95df2023-11-24T02:24:46ZengMDPI AGSensors1424-82202022-10-012220773110.3390/s22207731Detector Processor for a 5G Base StationCao Niu0Dake Liu1State 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, ChinaNonlinear soft bit detection is essential for the uplink receivers of 5G base stations, especially for users around the cell edge. However, its throughput and computing complexity are always challenges for both research and industry. A low-cost and low-power parallel implementation of a soft-output detector based on sorted QR decomposition (SQRD) and the K-best breadth-first search algorithm is thus proposed to reduce computational complexity and latency. In addition, to save area and reduce latency, two improvement methods are used: (1) reduce the computing cost by saturating and truncating large values during PED computing and (2) reduce the sorting cost by using the binary bit sorting method for a reduced sample set with finite accuracy. Furthermore, a pipelined VLSI architecture is designed using 28-nm digital CMOS technology offered by Semiconductor Manufacturing International Corporation (SMIC). It can achieve a peak throughput of 6400 Mbps while consuming 153 K gates (including all flip-flops) for SMIC’s 28-nm technology and running at 800 MHz, a 32% cost reduction compared with the published reference design.https://www.mdpi.com/1424-8220/22/20/7731MIMOOFDMK-bestsignal detection |
| spellingShingle | Cao Niu Dake Liu Detector Processor for a 5G Base Station Sensors MIMO OFDM K-best signal detection |
| title | Detector Processor for a 5G Base Station |
| title_full | Detector Processor for a 5G Base Station |
| title_fullStr | Detector Processor for a 5G Base Station |
| title_full_unstemmed | Detector Processor for a 5G Base Station |
| title_short | Detector Processor for a 5G Base Station |
| title_sort | detector processor for a 5g base station |
| topic | MIMO OFDM K-best signal detection |
| url | https://www.mdpi.com/1424-8220/22/20/7731 |
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