Leveraging parallelizability and channel structure in THz-band, Tbps channel-code decoding
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866916393505521664 |
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| author | Jemaa, Hakim Sarieddeen, Hadi Tarboush, Simon Alouini, Mohamed-Slim Al-Naffouri, Tareq Y. |
| author_facet | Jemaa, Hakim Sarieddeen, Hadi Tarboush, Simon Alouini, Mohamed-Slim Al-Naffouri, Tareq Y. |
| contents | As advancements close the gap between current device capabilities and the requirements for terahertz (THz)-band communications, the demand for terabit-per-second (Tbps) circuits is on the rise. This paper addresses the challenge of achieving Tbps data rates in THz-band communications by focusing on the baseband computation bottleneck. We propose leveraging parallel processing and pseudo-soft information (PSI) across multicarrier THz channels for efficient channel code decoding. We map bits to transmission resources using shorter code-words to enhance parallelizability and reduce complexity. Additionally, we integrate channel state information into PSI to alleviate the processing overhead of soft decoding. Results demonstrate that PSI-aided decoding of 64-bit code-words halves the complexity of 128-bit hard decoding under comparable effective rates, while introducing a 4 dB gain at a $10^{-3}$ block error rate. The proposed scheme approximates soft decoding with significant complexity reduction at a graceful performance cost. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_00797 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Leveraging parallelizability and channel structure in THz-band, Tbps channel-code decoding Jemaa, Hakim Sarieddeen, Hadi Tarboush, Simon Alouini, Mohamed-Slim Al-Naffouri, Tareq Y. Signal Processing Information Theory As advancements close the gap between current device capabilities and the requirements for terahertz (THz)-band communications, the demand for terabit-per-second (Tbps) circuits is on the rise. This paper addresses the challenge of achieving Tbps data rates in THz-band communications by focusing on the baseband computation bottleneck. We propose leveraging parallel processing and pseudo-soft information (PSI) across multicarrier THz channels for efficient channel code decoding. We map bits to transmission resources using shorter code-words to enhance parallelizability and reduce complexity. Additionally, we integrate channel state information into PSI to alleviate the processing overhead of soft decoding. Results demonstrate that PSI-aided decoding of 64-bit code-words halves the complexity of 128-bit hard decoding under comparable effective rates, while introducing a 4 dB gain at a $10^{-3}$ block error rate. The proposed scheme approximates soft decoding with significant complexity reduction at a graceful performance cost. |
| title | Leveraging parallelizability and channel structure in THz-band, Tbps channel-code decoding |
| topic | Signal Processing Information Theory |
| url | https://arxiv.org/abs/2409.00797 |