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Compressed Shaping: Concept and FPGA Demonstration

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Název: Compressed Shaping: Concept and FPGA Demonstration
Autoři: Yoshida, Tsuyoshi, 1982, Igarashi, Koji, Karlsson, Magnus, 1967, Agrell, Erik, 1965
Zdroj: Journal of Lightwave Technology. 39(17):5412-5422
Témata: probabilistic shaping, modulation, Coding, entropy, optical fiber communication, distribution matching, source coding, data compression, implementation
Popis: Probabilistic shaping (PS) has been widely studied and applied to optical fiber communications. The encoder of PS expends the number of bit slots and controls the probability distribution of channel input symbols. Not only studies focused on PS but also most works on optical fiber communications have assumed source uniformity (i.e. equal probability of marks and spaces) so far. On the other hand, the source information is in general nonuniform, unless bit-scrambling or other source coding techniques to balance the bit probability is performed. Interestingly, one can exploit the source nonuniformity to reduce the entropy of the channel input symbols with the PS encoder, which leads to smaller required signal-to-noise ratio at a given input logic rate. This benefit is equivalent to a combination of data compression and PS, and thus we call this technique compressed shaping. In this work, we explain its theoretical background in detail, and verify the concept by both numerical simulation and a field programmable gate array (FPGA) implementation of such a system. In particular, we find that compressed shaping can reduce power consumption in forward error correction decoding by up to 90% in nonuniform source cases. The additional hardware resources required for compressed shaping are not significant compared with forward error correction coding, and an error insertion test is successfully demonstrated with the FPGA.
Popis souboru: electronic
Přístupová URL adresa: https://research.chalmers.se/publication/524477
https://research.chalmers.se/publication/524477/file/524477_Fulltext.pdf
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  Data: Compressed Shaping: Concept and FPGA Demonstration
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  Data: <searchLink fieldCode="AR" term="%22Yoshida%2C+Tsuyoshi%22">Yoshida, Tsuyoshi</searchLink>, 1982<br /><searchLink fieldCode="AR" term="%22Igarashi%2C+Koji%22">Igarashi, Koji</searchLink><br /><searchLink fieldCode="AR" term="%22Karlsson%2C+Magnus%22">Karlsson, Magnus</searchLink>, 1967<br /><searchLink fieldCode="AR" term="%22Agrell%2C+Erik%22">Agrell, Erik</searchLink>, 1965
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  Data: <i>Journal of Lightwave Technology</i>. 39(17):5412-5422
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  Data: <searchLink fieldCode="DE" term="%22probabilistic+shaping%22">probabilistic shaping</searchLink><br /><searchLink fieldCode="DE" term="%22modulation%22">modulation</searchLink><br /><searchLink fieldCode="DE" term="%22Coding%22">Coding</searchLink><br /><searchLink fieldCode="DE" term="%22entropy%22">entropy</searchLink><br /><searchLink fieldCode="DE" term="%22optical+fiber+communication%22">optical fiber communication</searchLink><br /><searchLink fieldCode="DE" term="%22distribution+matching%22">distribution matching</searchLink><br /><searchLink fieldCode="DE" term="%22source+coding%22">source coding</searchLink><br /><searchLink fieldCode="DE" term="%22data+compression%22">data compression</searchLink><br /><searchLink fieldCode="DE" term="%22implementation%22">implementation</searchLink>
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  Label: Description
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  Data: Probabilistic shaping (PS) has been widely studied and applied to optical fiber communications. The encoder of PS expends the number of bit slots and controls the probability distribution of channel input symbols. Not only studies focused on PS but also most works on optical fiber communications have assumed source uniformity (i.e. equal probability of marks and spaces) so far. On the other hand, the source information is in general nonuniform, unless bit-scrambling or other source coding techniques to balance the bit probability is performed. Interestingly, one can exploit the source nonuniformity to reduce the entropy of the channel input symbols with the PS encoder, which leads to smaller required signal-to-noise ratio at a given input logic rate. This benefit is equivalent to a combination of data compression and PS, and thus we call this technique compressed shaping. In this work, we explain its theoretical background in detail, and verify the concept by both numerical simulation and a field programmable gate array (FPGA) implementation of such a system. In particular, we find that compressed shaping can reduce power consumption in forward error correction decoding by up to 90% in nonuniform source cases. The additional hardware resources required for compressed shaping are not significant compared with forward error correction coding, and an error insertion test is successfully demonstrated with the FPGA.
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        Value: 10.1109/JLT.2021.3085974
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      – Text: English
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        PageCount: 11
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      – SubjectFull: probabilistic shaping
        Type: general
      – SubjectFull: modulation
        Type: general
      – SubjectFull: Coding
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      – SubjectFull: entropy
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      – SubjectFull: optical fiber communication
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      – SubjectFull: distribution matching
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      – SubjectFull: source coding
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      – SubjectFull: data compression
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      – SubjectFull: implementation
        Type: general
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      – TitleFull: Compressed Shaping: Concept and FPGA Demonstration
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            NameFull: Yoshida, Tsuyoshi
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            NameFull: Karlsson, Magnus
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            NameFull: Agrell, Erik
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              Type: published
              Y: 2021
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              Value: 39
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            – TitleFull: Journal of Lightwave Technology
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