Automated Wavelength Alignment in a 4 × 4 Silicon Thermo-Optic Switch Based on Dual-Ring Resonators | IEEE Journals & Magazine | IEEE Xplore

Automated Wavelength Alignment in a 4 × 4 Silicon Thermo-Optic Switch Based on Dual-Ring Resonators


Impact Statement:Automated resonance wavelength alignment (ARWA) is important for high-order resonator based switches. Previous schemes are effective for single-input high-order resonator...Show More

Abstract:

We propose and experimentally demonstrate an automated resonance wavelength alignment scheme for an O-band 4 × 4 thermo-optic optical switch using dual-ring resonators. I...Show More
Impact Statement:
Automated resonance wavelength alignment (ARWA) is important for high-order resonator based switches. Previous schemes are effective for single-input high-order resonators. However, the ARWA for high-order resonator based switching elements (SEs) with two inputs has not been reported. In this paper, the ARWA for a dual-input SE using dual-ring resonator is firstly realized by a saddle point searching technique. Our scheme is experimentally demonstrated on a 4 x 4 silicon thermo-optic switch.

Abstract:

We propose and experimentally demonstrate an automated resonance wavelength alignment scheme for an O-band 4 × 4 thermo-optic optical switch using dual-ring resonators. In this scheme, a new control algorithm based on saddle point searching is employed to align dual-input switching elements (SEs) and therefore the 4 × 4 switch. The proposed scheme is proven effective by demonstrating eight routing configurations for two 10-Gb/s data channels. The insertion losses of the three-stage SEs are ≤6.9 dB, and the crosstalk values are below -13.6 dB. Besides, the tolerance of the switch to the wavelength misalignment between the two optical input signals is measured. Negligible performance degradations are observed when the two channels are spaced by 0.05 nm.
Published in: IEEE Photonics Journal ( Volume: 10, Issue: 1, February 2018)
Article Sequence Number: 6600311
Date of Publication: 30 January 2018

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