A state metrics compressed decoding technique for energy-efficient turbo decoder
Abstract In the energy resource-constrained wireless applications, turbo codes are frequently employed to guarantee reliable data communication. To both reduce the power dissipation of the turbo decoder and the probability of data frame retransmission in the physical layer, memory capacity reduced n...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2018-06-01
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| Series: | EURASIP Journal on Wireless Communications and Networking |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13638-018-1153-y |
| _version_ | 1818958799532195840 |
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| author | Ming Zhan Zhibo Pang Ming Xiao Hong Wen |
| author_facet | Ming Zhan Zhibo Pang Ming Xiao Hong Wen |
| author_sort | Ming Zhan |
| collection | DOAJ |
| description | Abstract In the energy resource-constrained wireless applications, turbo codes are frequently employed to guarantee reliable data communication. To both reduce the power dissipation of the turbo decoder and the probability of data frame retransmission in the physical layer, memory capacity reduced near optimal turbo decoder is of special importance from the perspective of practical implementation. In this regard, a state metrics compressed decoding technique is proposed. By inserting two modules in the conventional turbo decoding architecture, a smaller quantization scheme can be applied to the compressed state metrics. Furthermore, structure of the inserted modules is described in detail. We demonstrate that one or two rounds of compression/decompression are performed in most cases during the iterative decoding process. At the cost of limited dummy decoding complexity, the state metrics cache (SMC) capacity is reduced by 53.75%. Although the proposed technique is a lossy compression strategy, the introduced errors only have tiny negative influence on the decoding performance as compared with the optimal Log-MAP algorithm. |
| first_indexed | 2024-12-20T11:31:29Z |
| format | Article |
| id | doaj.art-3629640727f0452ea3ec51cd0514dea0 |
| institution | Directory Open Access Journal |
| issn | 1687-1499 |
| language | English |
| last_indexed | 2024-12-20T11:31:29Z |
| publishDate | 2018-06-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Wireless Communications and Networking |
| spelling | doaj.art-3629640727f0452ea3ec51cd0514dea02022-12-21T19:42:14ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992018-06-01201811710.1186/s13638-018-1153-yA state metrics compressed decoding technique for energy-efficient turbo decoderMing Zhan0Zhibo Pang1Ming Xiao2Hong Wen3The Key Laboratory of Networks and Cloud Computing Security of University of Chongqing, College of Electronic and Information Engineering, Southwest UniversityABB Corporate ResearchSchool of Electrical Engineering, KTH Royal Institute of TechnologyNational Key Laboratory of Science and Technology on Communications at University of Electronic Science and Technology of ChinaAbstract In the energy resource-constrained wireless applications, turbo codes are frequently employed to guarantee reliable data communication. To both reduce the power dissipation of the turbo decoder and the probability of data frame retransmission in the physical layer, memory capacity reduced near optimal turbo decoder is of special importance from the perspective of practical implementation. In this regard, a state metrics compressed decoding technique is proposed. By inserting two modules in the conventional turbo decoding architecture, a smaller quantization scheme can be applied to the compressed state metrics. Furthermore, structure of the inserted modules is described in detail. We demonstrate that one or two rounds of compression/decompression are performed in most cases during the iterative decoding process. At the cost of limited dummy decoding complexity, the state metrics cache (SMC) capacity is reduced by 53.75%. Although the proposed technique is a lossy compression strategy, the introduced errors only have tiny negative influence on the decoding performance as compared with the optimal Log-MAP algorithm.http://link.springer.com/article/10.1186/s13638-018-1153-yEnergy efficiencyTurbo decoderState metricsSMC capacityCompressionDecompression |
| spellingShingle | Ming Zhan Zhibo Pang Ming Xiao Hong Wen A state metrics compressed decoding technique for energy-efficient turbo decoder EURASIP Journal on Wireless Communications and Networking Energy efficiency Turbo decoder State metrics SMC capacity Compression Decompression |
| title | A state metrics compressed decoding technique for energy-efficient turbo decoder |
| title_full | A state metrics compressed decoding technique for energy-efficient turbo decoder |
| title_fullStr | A state metrics compressed decoding technique for energy-efficient turbo decoder |
| title_full_unstemmed | A state metrics compressed decoding technique for energy-efficient turbo decoder |
| title_short | A state metrics compressed decoding technique for energy-efficient turbo decoder |
| title_sort | state metrics compressed decoding technique for energy efficient turbo decoder |
| topic | Energy efficiency Turbo decoder State metrics SMC capacity Compression Decompression |
| url | http://link.springer.com/article/10.1186/s13638-018-1153-y |
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