2021
DOI: 10.1109/jlt.2021.3050734
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Scalable and Fast Optical Circuit Switch Based on Colorless Coherent Detection: Design Principle and Experimental Demonstration

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Cited by 14 publications
(9 citation statements)
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References 30 publications
(47 reference statements)
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“…Figure 6 illustrates how signal quality is degraded by LO-crosstalk-induced noise in colorless coherent detection, where the OOB channels and LO crosstalk generate in-band crosstalk. Numerical analyses that extend the previous work [20] quantify the performance limit associated with LO crosstalk. Without loss of generality, we assume a conventional coherent receiver employing polarization beam splitters (PBSs), optical 90° hybrid mixers, and four pairs of BPDs.…”
Section: B Crosstalk Analysis For Colorless Coherent Detectionmentioning
confidence: 55%
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“…Figure 6 illustrates how signal quality is degraded by LO-crosstalk-induced noise in colorless coherent detection, where the OOB channels and LO crosstalk generate in-band crosstalk. Numerical analyses that extend the previous work [20] quantify the performance limit associated with LO crosstalk. Without loss of generality, we assume a conventional coherent receiver employing polarization beam splitters (PBSs), optical 90° hybrid mixers, and four pairs of BPDs.…”
Section: B Crosstalk Analysis For Colorless Coherent Detectionmentioning
confidence: 55%
“…Control network design issues including control latency and overall blocking performances were elaborated in our recent paper [9,32]. The benefits of the hybrid network solution have been demonstrated in terms of power consumption [31], bandwidth scalability [9,20], architectural simplification and a substantial reduction (more than 70 % [9]) in interconnection hardware (transceivers and fibers) due to switching tier reduction [15]. In addition, its performance benefits such as reduced job completion times [18,33,34] or increased throughput [35] have been clarified for machine learning applications that handle large data blocks, which includes using the Hadoop filesystem (e.g., typical size of data block is 64 -128 Mbyte) which is commonly adopted for deep learning model and big-data analysis.…”
Section: Switching Technologies In Intra-data Centersmentioning
confidence: 99%
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