RMIT University
Browse

On-chip scalable mode-selective converter based on asymmetrical micro-racetrack resonators

journal contribution
posted on 2024-11-02, 13:28 authored by Huifu Xiao, Zhenfu Zhang, Junbo Yang, Xu Han, Wenping Chen, Guanghui RenGuanghui Ren, Arnan MitchellArnan Mitchell, Jianhong Yang, Daqiang Gao, Yonghui Tian
Mode division multiplexing (MDM) technology has been well known to researchers for its ability to increase the link capacity of photonic network. While various mode processing devices were demonstrated in recent years, the reconfigurability of multi-mode processing devices, which is vital for large-scale multi-functional networks, is rarely developed. In this paper, we first propose and experimentally demonstrate a scalable mode-selective converter using asymmetrical micro-racetrack resonators (MRRs) for optical network-on-chip. The proposed device, composed of cascaded MRRs, is able to convert the input monochromatic light to an arbitrary supported mode in the output waveguide as required. Thermo-optical effect of silicon waveguides is adopted to tune the working states of the device. To test the utility, a device for proof-of-concept is fabricated and experimentally demonstrated based on silicon-on-insulator substrate. The measured spectra of the device show that the extinction ratios of MRRs are larger than 18 dB, and modal crosstalk for selected modes are all less than -16.5 dB. The switching time of the fabricated device is in the level of about 40 μs. The proposed device is believed to have potential applications in multi-functional and intelligent network-on-chip, especially in reconfigurable MDM networks.

Funding

Silicon-photonic devices harnessing new resonance phenomena

Australian Research Council

Find out more...

History

Journal

Nanophotonics

Volume

9

Issue

6

Start page

1447

End page

1455

Total pages

9

Publisher

Walter de Gruyter

Place published

Germany

Language

English

Copyright

© 2020 Huifu Xiao et al., published by De Gruyter, Open Access. This work is licensed under the Creative Commons Attribution 4.0 Public License

Former Identifier

2006101593

Esploro creation date

2020-09-30