Abstract

We investigate a large-scale and fast optical circuit switch system that uses digital coherent technologies. The achievable port count is expanded by introducing colorless detection which eliminates channel selecting filters at receivers. Wavelength selection is performed using a shared local oscillator (LO) bank, which is configured by combining a multi-wavelength optical source with Silicon-photonic tunable filters (TFs). Microsecond switching times are realized with the thermo-optic effect available with the Silicon-photonic TF. Design optimization of the proposed system handles complex level of freedom, i.e., available wavelength number, space switch port count, optical amplifier location and gain, and device loss. In addition, colorless coherent detection induces penalties, which further complicates switch scale assessment. In this paper, we develop a simulator to clarify how those parameters affect switch performance; the switch throughput is maximized with consideration of the degradation stemming from colorless detection. The design performance accurately matches results measured in various system scenarios. A dual-carrier 256-Gb/s DP-QPSK experiment successfully demonstrates a 1,856 × 1,856 optical switch system with switching time under 3.52 μs. The resulting total throughput is 441 Tb/s assuming 7%-overhead HD-FEC. To the best of our knowledge, this is the first demonstration of 400-Tbps class large bandwidth optical switches that use TFs as wavelength selective devices for coherent detection.

Highlights

  • E MERGING applications such as cloud computing and big-data analysis are driving the explosive growth of datacenter traffic

  • We propose a large-throughput and fast optical circuit switch that uses a Silicon-photonic tunable filters (TFs)-based local oscillator (LO) bank to realize colorless coherent detection

  • This paper presented a scalable and fast optical circuit switch, a key component in implementing an electrical-packet/ opticalcircuit hybrid switching network for intra data centers

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Summary

Introduction

E MERGING applications such as cloud computing and big-data analysis are driving the explosive growth of datacenter traffic. The continued explosion in intra-data center traffic will be driven by the increase in machine learning and artificial intelligence related applications. Modern data centers rely on hierarchical electrical packet switching (EPS) networks which interconnect servers across top-of-rack (ToR), aggregation (Leaf), and core (Spine) switches [3], [4]. Present intra-data center networks face the bandwidth crunch and power consumption limitation of electrical switches. The bandwidth and power barriers can be broken by offloading large flows from electrical switches to optical switches. Compared to the current multi-tier EPS networks, introducing large-port-count optical switches can substantially reduce (∼75%) transponders/fiber-links and switch power consumption [10]

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