Demonstration of Tunable Optical Aggregation of QPSK to 16-QAM over Optically Generated Nyquist Pulse Trains Using Nonlinear Wave Mixing and a Kerr Frequency Comb

Ahmad Fallahpour*, Huibin Zhou, Peicheng Liao, Cong Liu, Moshe Tur, Tobias J. Kippenberg, Alan E. Willner, Fatemeh Alishahi, Kaiheng Zou, Yinwen Cao, Ahmed Almaiman, Arne Kordts, Maxim Karpov, Martin Hubert Peter Pfeiffer, Karapet Manukyan

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

A tunable and reconfigurable optical aggregation system is experimentally demonstrated. Optical Nyquist pulses are generated on multiple channels using a microresonator-based Kerr optical frequency comb and insertion of uniform lines by an intensity modulator. Data are modulated on optically generated Nyquist pulses and aggregated through nonlinear wave mixing in a periodically poled lithium niobate (PPLN) waveguide. Two quadrature-phase-shift-keying (QPSK) channels are aggregated to a single 16-quadrature amplitude modulation (16-QAM) channel of Nyquist pulses. To demonstrate the system tunability, we perform aggregation over different baud rates and different modulation formats. The reconfigurability of the system is demonstrated by aggregating two binary-phase-shift-keying (BPSK) channels into a QPSK or a 2-level amplitude-shift keying and a 2-level phase-shift keying (2-ASK/2-PSK) channel by tuning the relative phase and amplitude of the inputs. Furthermore, three BPSK channels are aggregated into one 4-ASK/2-PSK channel. The quality of the aggregated channel is investigated using two different approaches for wave mixing in the PPLN waveguide.

Original languageEnglish
Article number8933086
Pages (from-to)359-365
Number of pages7
JournalJournal of Lightwave Technology
Volume38
Issue number2
DOIs
StatePublished - 15 Jan 2020

Keywords

  • Kerr frequency comb
  • nonlinear wave mixing
  • optical Nyquist pulses
  • optical aggregation

Fingerprint

Dive into the research topics of 'Demonstration of Tunable Optical Aggregation of QPSK to 16-QAM over Optically Generated Nyquist Pulse Trains Using Nonlinear Wave Mixing and a Kerr Frequency Comb'. Together they form a unique fingerprint.

Cite this