Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 36,
  • Issue 20,
  • pp. 4736-4751
  • (2018)

Investigation on Dynamic Nonlinearity of RSOA for OFDM-PON Performance Optimization

Not Accessible

Your library or personal account may give you access

Abstract

A theoretical study has been carried out to explore the dynamic nonlinearity of reflective semiconductor optical amplifiers (RSOA) as an optical modulator. Beginning with integration of the optical gain per unit length in RSOA active cavity, the rate equation has been decomposed into a static equation, which gives expression for static optical gain versus bias current and a dynamic equation that turns to describe the modulation properties of RSOA. A Volterra series analysis gives the frequency response and high-order transfer functions in closed forms, which are useful to determine the intermodulation interference in the uplink of orthogonal frequency division multiplexed (OFDM)-passive optical network (PON) based on RSOA. The optimal driving OFDM power to RSOA is found to minimize the system BER.

© 2018 IEEE

PDF Article
More Like This
Performance investigation and demonstration of colorless upstream transmission in ECDM-OFDM-PON

Bo Liu, Xiangjun Xin, Lijia Zhang, and Jianjun Yu
Opt. Express 19(15) 14542-14548 (2011)

Wavelength reused bidirectional transmission of adaptively modulated optical OFDM signals in WDM-PONs incorporating SOA and RSOA intensity modulators

J. L. Wei, E. Hugues-Salas, R. P. Giddings, X. Q. Jin, X. Zheng, S. Mansoor, and J. M. Tang
Opt. Express 18(10) 9791-9808 (2010)

Improving performance of channel equalization in RSOA-based WDM-PON by QR decomposition

Xiang Li, Wen-De Zhong, Arokiaswami Alphones, Changyuan Yu, and Zhaowen Xu
Opt. Express 23(21) 27299-27305 (2015)

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.