Low-Complexity Decoding Algorithms for Distributed Space-Time Coded Regenerative Relay Systems
We examine decoding structure for distributed space-time coded regenerative relay networks. Given the possible demodulation error at the regenerative relays, we provide a general framework of error aware decoder, where the receiver exploits the demodulation error probability of relays to improve the...
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| Format: | Article |
| Language: | English |
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Wiley
2012-09-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2012/950296 |
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| _version_ | 1832547865899040768 |
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| author | Chao Zhang Huarui Yin |
| author_facet | Chao Zhang Huarui Yin |
| author_sort | Chao Zhang |
| collection | DOAJ |
| description | We examine decoding structure for distributed space-time coded regenerative relay networks. Given the possible demodulation error at the regenerative relays, we provide a general framework of error aware decoder, where the receiver exploits the demodulation error probability of relays to improve the system performance. Considering the high computational complexity of optimal Maximum Likelihood (ML) decoder, we also propose two low-complexity decoders, Max-Log decoder and Max-Log-Sphere decoder. Computational complexities of these three decoders are also analyzed. Simulation results show that error aware decoders can improve system performance greatly without high system overload and Max-Log decoder and Max-Log-Sphere decoder can drastically reduce the decoding complexity with negligible performance degradation. |
| format | Article |
| id | doaj-art-b27223bcc6834b5c85d78524cde1d251 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2012-09-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-b27223bcc6834b5c85d78524cde1d2512025-02-03T06:43:09ZengWileyInternational Journal of Distributed Sensor Networks1550-14772012-09-01810.1155/2012/950296Low-Complexity Decoding Algorithms for Distributed Space-Time Coded Regenerative Relay SystemsChao Zhang0Huarui Yin1 School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China Department of Electronics Engineering and Information Science, University of Science and Technology of China, ChinaWe examine decoding structure for distributed space-time coded regenerative relay networks. Given the possible demodulation error at the regenerative relays, we provide a general framework of error aware decoder, where the receiver exploits the demodulation error probability of relays to improve the system performance. Considering the high computational complexity of optimal Maximum Likelihood (ML) decoder, we also propose two low-complexity decoders, Max-Log decoder and Max-Log-Sphere decoder. Computational complexities of these three decoders are also analyzed. Simulation results show that error aware decoders can improve system performance greatly without high system overload and Max-Log decoder and Max-Log-Sphere decoder can drastically reduce the decoding complexity with negligible performance degradation.https://doi.org/10.1155/2012/950296 |
| spellingShingle | Chao Zhang Huarui Yin Low-Complexity Decoding Algorithms for Distributed Space-Time Coded Regenerative Relay Systems International Journal of Distributed Sensor Networks |
| title | Low-Complexity Decoding Algorithms for Distributed Space-Time Coded Regenerative Relay Systems |
| title_full | Low-Complexity Decoding Algorithms for Distributed Space-Time Coded Regenerative Relay Systems |
| title_fullStr | Low-Complexity Decoding Algorithms for Distributed Space-Time Coded Regenerative Relay Systems |
| title_full_unstemmed | Low-Complexity Decoding Algorithms for Distributed Space-Time Coded Regenerative Relay Systems |
| title_short | Low-Complexity Decoding Algorithms for Distributed Space-Time Coded Regenerative Relay Systems |
| title_sort | low complexity decoding algorithms for distributed space time coded regenerative relay systems |
| url | https://doi.org/10.1155/2012/950296 |
| work_keys_str_mv | AT chaozhang lowcomplexitydecodingalgorithmsfordistributedspacetimecodedregenerativerelaysystems AT huaruiyin lowcomplexitydecodingalgorithmsfordistributedspacetimecodedregenerativerelaysystems |