Optical Triple-Band Multiplexing Enabling Beyond-600 Gb/s Single-Photodiode Reception for Intra-AIDC Interconnects
Generative artificial intelligence (AI) models including GPT, Gemini, and DeepSeek are reshaping embodied agents, temporal prediction, and autonomous driving, demanding a ten-fold annual growth in training FLOPS that Moore’s law can no longer sustain. Consequently, scale-out GPU clusters require >400 Gb/s lane-rate optical interconnects within AI data-centers (AIDCs). Single-photodiode direct detection offers density, latency, and energy advantages, but DAC bandwidth remains limited to around 70 GHz. We present an optical triple-band multiplexing scheme that replaces high-frequency radio frequency (RF) mixers and local oscillators (LOs) with photonic components. A Mach–Zehnder modulator (MZM) generates 80-GBd PS-PAM-20 signal while an in-phase/quadrature (IQ) modulator driven by a wavelength-offset laser creates two independent 35-GBd PS-64-QAM bands. The proposed optical multiplexing method breaks conjugate symmetry and enhances dispersion tolerance of the direct detection system. After 200 m SSMF transmission and single 70-GHz photodiode (PD) detection, digital signal-signal beating interference (SSBI)/cross-beating compensation enables the recovery of net 543.9 Gb/s signal (line rate of 686.6 Gb/s) using only 45-GHz DACs. The optical multiplexing architecture provides a path to beyond-400 Gb/s lanes and demonstrates a scalable, energy-efficient solution for next-generation AI clusters.
Authors
- Weiwei Hu (ORCID: https://orcid.org/0000-0002-3485-6304)
- Xiansong Fang (ORCID: https://orcid.org/0000-0003-0295-8290)
- Chongyu Wang (ORCID: https://orcid.org/0000-0002-6285-8446)
- Xiang Cai (ORCID: https://orcid.org/0000-0003-0052-9564)
- Lingjun Zhou
- Yixiao Zhu
- Chenbo Zhang
- Yimin Hu
- Fan Zhang
- Ziheng Zhang
Institutions
- Shanghai Jiao Tong University (CN)
- Peking University (CN)
Publication Details
- Journal
- Photonics
- Published
- 2025-12-24
- DOI
- https://doi.org/10.3390/photonics13010011
- Citations
- 1
- Primary Topic
- Optical Network Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.73