Monolithic Silicon-Photonics Linear-Algebra Accelerators Enabling Next-Gen Massive MIMO
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arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866914677525577728 |
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| author | Hsueh, Tzu-Chien Fainman, Yeshaiahu Lin, Bill |
| author_facet | Hsueh, Tzu-Chien Fainman, Yeshaiahu Lin, Bill |
| contents | A system-on-chip (SoC) photonic-electronic linear-algebra accelerator with the features of wavelength-division-multiplexing (WDM) based broadband photodetections and high-dimensional matrix-inversion operations fabricated in advanced monolithic silicon-photonics (M-SiPh) semiconductor process technology is proposed to achieve substantial leaps in computation density and energy efficiency, including realistic considerations of energy/area overhead due to electronic/photonic on-chip conversions, integrations, and calibrations through holistic co-design methodologies to support linear-detection based massive multiple-input multiple-output (MIMO) decoding technology requiring the inversion of channel matrices and other emergent applications limited by linear-algebra computation capacities. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_08192 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Monolithic Silicon-Photonics Linear-Algebra Accelerators Enabling Next-Gen Massive MIMO Hsueh, Tzu-Chien Fainman, Yeshaiahu Lin, Bill Systems and Control Signal Processing Optics A system-on-chip (SoC) photonic-electronic linear-algebra accelerator with the features of wavelength-division-multiplexing (WDM) based broadband photodetections and high-dimensional matrix-inversion operations fabricated in advanced monolithic silicon-photonics (M-SiPh) semiconductor process technology is proposed to achieve substantial leaps in computation density and energy efficiency, including realistic considerations of energy/area overhead due to electronic/photonic on-chip conversions, integrations, and calibrations through holistic co-design methodologies to support linear-detection based massive multiple-input multiple-output (MIMO) decoding technology requiring the inversion of channel matrices and other emergent applications limited by linear-algebra computation capacities. |
| title | Monolithic Silicon-Photonics Linear-Algebra Accelerators Enabling Next-Gen Massive MIMO |
| topic | Systems and Control Signal Processing Optics |
| url | https://arxiv.org/abs/2402.08192 |