Bridging the complexity gap in Tbps-achieving THz-band baseband processing
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arXiv
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| Auteurs principaux: | , , , , , |
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| Format: | Preprint |
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2023
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| _version_ | 1866914757905219584 |
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| author | Sarieddeen, Hadi Jemaa, Hakim Tarboush, Simon Studer, Christoph Alouini, Mohamed-Slim Al-Naffouri, Tareq Y. |
| author_facet | Sarieddeen, Hadi Jemaa, Hakim Tarboush, Simon Studer, Christoph Alouini, Mohamed-Slim Al-Naffouri, Tareq Y. |
| contents | Recent advances in electronic and photonic technologies have allowed efficient signal generation and transmission at terahertz (THz) frequencies. However, as the gap in THz-operating devices narrows, the demand for terabit-per-second (Tbps)-achieving circuits is increasing. Translating the available hundreds of gigahertz (GHz) of bandwidth into a Tbps data rate requires processing thousands of information bits per clock cycle at state-of-the-art clock frequencies of digital baseband processing circuitry of a few GHz. This paper addresses these constraints and emphasizes the importance of parallelization in signal processing, particularly for channel code decoding. By leveraging structured sub-spaces of THz channels, we propose mapping bits to transmission resources using shorter code-words, extending parallelizability across all baseband processing blocks. THz channels exhibit quasi-deterministic frequency, time, and space structures that enable efficient parallel bit mapping at the source and provide pseudo-soft bit reliability information for efficient detection and decoding at the receiver. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2309_16027 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Bridging the complexity gap in Tbps-achieving THz-band baseband processing Sarieddeen, Hadi Jemaa, Hakim Tarboush, Simon Studer, Christoph Alouini, Mohamed-Slim Al-Naffouri, Tareq Y. Information Theory Signal Processing Recent advances in electronic and photonic technologies have allowed efficient signal generation and transmission at terahertz (THz) frequencies. However, as the gap in THz-operating devices narrows, the demand for terabit-per-second (Tbps)-achieving circuits is increasing. Translating the available hundreds of gigahertz (GHz) of bandwidth into a Tbps data rate requires processing thousands of information bits per clock cycle at state-of-the-art clock frequencies of digital baseband processing circuitry of a few GHz. This paper addresses these constraints and emphasizes the importance of parallelization in signal processing, particularly for channel code decoding. By leveraging structured sub-spaces of THz channels, we propose mapping bits to transmission resources using shorter code-words, extending parallelizability across all baseband processing blocks. THz channels exhibit quasi-deterministic frequency, time, and space structures that enable efficient parallel bit mapping at the source and provide pseudo-soft bit reliability information for efficient detection and decoding at the receiver. |
| title | Bridging the complexity gap in Tbps-achieving THz-band baseband processing |
| topic | Information Theory Signal Processing |
| url | https://arxiv.org/abs/2309.16027 |