Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 36,
  • Issue 3,
  • pp. 763-772
  • (2018)

Impact of Topology on the Scalability of Mach–Zehnder-Based Multistage Silicon Photonic Switch Networks

Not Accessible

Your library or personal account may give you access

Abstract

We analyze the scalability of electro-optic Mach–Zehnder-based silicon photonic switch networks. We describe a simulation framework based on the transfer matrix method that enable to model any type of multistage networks. We simulate three common network topologies – Beneš, path-independent loss, and double-layer – and analyze their scalability by performing optical link numerical simulations for 50 Gbps non-return-to-zero signals. Our study shows that for a radix-16, the double-layer network performs better with a link power penalty smaller than 1 dB thanks to its dilated arrangement. For equivalent radix, the Beneš and path-independent loss networks have link power penalties larger than 4 dB. Our simulations also show stringent requirements for the waveguide crossing crosstalk, whose value should be smaller than −35 dB to close any realistic link budget.

© 2017 IEEE

PDF Article
More Like This
Scaling silicon photonic switch fabrics for data center interconnection networks

Dessislava Nikolova, Sébastien Rumley, David Calhoun, Qi Li, Robert Hendry, Payman Samadi, and Keren Bergman
Opt. Express 23(2) 1159-1175 (2015)

Broadband silicon photonics 8 × 8 switch based on double-Mach–Zehnder element switches

Keijiro Suzuki, Ken Tanizawa, Satoshi Suda, Hiroyuki Matsuura, Takashi Inoue, Kazuhiro Ikeda, Shu Namiki, and Hitoshi Kawashima
Opt. Express 25(7) 7538-7546 (2017)

Harnessing self-heating effect for ultralow-crosstalk electro-optic Mach–Zehnder switches

Peng Bao, Qixiang Cheng, Jinlong Wei, Giuseppe Talli, Maxim Kuschnerov, and Richard V. Penty
Photon. Res. 11(10) 1757-1769 (2023)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.