High-fidelity sub-petabit-per-second self-homodyne fronthaul using broadband electro-optic combs

With the exponential growth in data density and user ends of wireless networks, fronthaul is tasked with supporting aggregate bandwidths exceeding thousands of gigahertz while accommodating high-order modulation formats. However, it must address the bandwidth and noise limitations imposed by optical links and devices in a cost-efficient manner. Here we demonstrate a high-fidelity fronthaul system enabled by self-homodyne digital-analog radio-over-fiber superchannels, using a broadband electro-optic comb and uncoupled multicore fiber. This self-homodyne superchannel architecture not only offers capacity boosting but also supports carrier-recovery-free reception. Our approach achieves a record-breaking 15,000 GHz aggregated wireless bandwidth, corresponding to a 0.879 Pb/s common public radio interface (CPRI) equivalent data rate. Higher-order formats up to 1,048,576 quadrature-amplitude-modulated (QAM) are showcased at a 100 Tb/s class data rate. Furthermore, we employ a packaged on-chip electro-optic comb as the sole optical source to reduce the cost, supporting a data rate of 100.5 Tb/s with the 1024-QAM format. These demonstrations propel fronthaul into the era of Pb/s-level capacity and exhibit the promising potential of integrated-photonics implementation, pushing the boundaries to new heights in terms of capacity, fidelity, and cost.

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Publication Details

Journal
Nature Communications
Published
2024-08-05
DOI
https://doi.org/10.1038/s41467-024-51103-4
Citations
20
Primary Topic
Advanced Fiber Laser Technologies
Type
article
Field-Weighted Citation Impact
6.75

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article

High-fidelity sub-petabit-per-second self-homodyne fronthaul using broadband electro-optic combs

Yixiao Zhu, Lilin Yi, Bibo He, Weisheng Hu et al.
20 citations
Nature Communications
Advanced Fiber Laser Technologies
6.75
article

High-fidelity sub-petabit-per-second self-homodyne fronthaul using broadband electro-optic combs

Yixiao Zhu, Lilin Yi, Bibo He, Weisheng Hu, Jinming Tao, Qunbi Zhuge, Yicheng Xu, Xiaopeng Xie, Rongwei Liu, Xuanjian He, Tao Chu, Nuo Chen, Zhike Zhang, Chenbo Zhang, Weiwei Hu, Jingjing Lin, Zhangyuan Chen
article en
20 citations

Abstract

With the exponential growth in data density and user ends of wireless networks, fronthaul is tasked with supporting aggregate bandwidths exceeding thousands of gigahertz while accommodating high-order modulation formats. However, it must address the bandwidth and noise limitations imposed by optical links and devices in a cost-efficient manner. Here we demonstrate a high-fidelity fronthaul system enabled by self-homodyne digital-analog radio-over-fiber superchannels, using a broadband electro-optic comb and uncoupled multicore fiber. This self-homodyne superchannel architecture not only offers capacity boosting but also supports carrier-recovery-free reception. Our approach achieves a record-breaking 15,000 GHz aggregated wireless bandwidth, corresponding to a 0.879 Pb/s common public radio interface (CPRI) equivalent data rate. Higher-order formats up to 1,048,576 quadrature-amplitude-modulated (QAM) are showcased at a 100 Tb/s class data rate. Furthermore, we employ a packaged on-chip electro-optic comb as the sole optical source to reduce the cost, supporting a data rate of 100.5 Tb/s with the 1024-QAM format. These demonstrations propel fronthaul into the era of Pb/s-level capacity and exhibit the promising potential of integrated-photonics implementation, pushing the boundaries to new heights in terms of capacity, fidelity, and cost.

Nature CommunicationsVol. 15(1)
Shanghai Jiao Tong University (CN), Chinese Academy of Sciences (CN), Peking University (CN), State Key Laboratory on Integrated Optoelectronics (CN), Peng Cheng Laboratory (CN), Institute of Semiconductors (CN), Zhejiang University (CN)
National Natural Science Foundation of China, Peking University, National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 2%
Advanced Fiber Laser Technologies
6.75
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