Abstract
We experimentally demonstrate, for the first time, a significant 34-dB nonlinear product power compensation in a mid-link optical phase conjugation (OPC) system using an optimized dual-order distributed Raman amplification (DRA) technique. The dual-order backward (BW)-pumping scheme shows a record signal power symmetry of 97% over 50.4-km single-mode fiber (SMF) spans. We also demonstrate that the required accuracy for span-to-span power alignment is within ±1 dB in order to maintain 20-dB nonlinear product compensation. For a 256-Gb/s dual-polarization-16 QAM transmission over 100.8 km (2×50.4 km) SMF with mid-link OPC, the proposed Raman amplification scheme enables the OPC to improve the nonlinear threshold by 7 dB and the optimum signal launch power by 5 dB compared with the system without OPC.
Original language | English |
---|---|
Pages (from-to) | 877-880 |
Number of pages | 4 |
Journal | IEEE Photonics Technology Letters |
Volume | 31 |
Issue number | 11 |
Early online date | 15 Apr 2019 |
DOIs | |
Publication status | Published - 1 Jun 2019 |
Bibliographical note
© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Funding: This work was supported by the U.K. EPSRC Programme
under Grant EP/L000091/1 (PEACE) and Grant EP/S003436/1 (PHOS).
Keywords
- Optical amplifiers
- nonlinear optics
- optical fiber communication
- phase conjugation
Fingerprint
Dive into the research topics of 'Combating Fiber Nonlinearity Using Dual-Order Raman Amplification and OPC'. Together they form a unique fingerprint.Datasets
-
Combating Fibre Nonlinearity Using Dual-Order Raman Amplification and OPC
Al-Khateeb, M. A. Z. (Creator), Tan, M. (Creator), Zhang, T. (Creator) & Ellis, A. (Creator), Aston Data Explorer, 11 Apr 2019
DOI: 10.17036/researchdata.aston.ac.uk.00000409, https://ieeexplore.ieee.org/document/8691528
Dataset