单片硅光子线性代数加速器赋能下一代大规模 MIMO
Monolithic Silicon-Photonics Linear-Algebra Accelerators Enabling Next-Gen Massive MIMO
AI总结：
提出一种采用单片硅光子工艺制造的SoC光电子线性代数加速器，具备WDM宽带探测与高维矩阵求逆特性，通过整体协同设计解决片上转换开销，大幅提升计算密度与能效，以支持大规模MIMO解码等新兴应用。
摘要：
提出一种片上系统（SoC）光电子线性代数加速器，具备基于波分复用（WDM）的宽带光电探测和高维矩阵求逆运算特性，采用先进单片硅光子（M-SiPh）半导体工艺制造，以实现计算密度和能效的大幅跃升。通过整体协同设计方法，对光电片上转换、集成与校准引起的能耗/面积开销进行现实考量，以支持需信道矩阵求逆的基于线性检测的大规模多输入多输出（MIMO）解码技术及受限于线性代数计算能力的其他新兴应用。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
