Reducing semiconductor optical Amplifier’s non-linearity through probabilistic amplitude shaping of optical QAM signal

Optical communication is an efficient technology for high-speed, long-distance data transmission. Semiconductor optical amplifiers (SOAs) are particularly promising for optical signal amplification in O-band transmission due to their compact size, low power consumption, and ease of integration into photonic networks. However, SOA-based systems suffer from nonlinear impairments, which degrade signal quality, especially at higher amplification levels. These nonlinear effects arise from changes in the intrinsic properties of the SOA’s waveguide material, such as refractive index variations, when subjected to high optical field intensities. In this paper, we investigate the potential of probabilistic amplitude shaping (PAS) as a signal-shaping technique to mitigate SOA-induced nonlinearities. PAS leverages a non-uniform probability distribution of constellation points (e.g., QAM symbols) to reduce the average transmit power while maintaining the same information rate. Our simulation results demonstrate that applying PAS to standard QAM signals significantly improves received signal quality, as measured by bit error rate (BER), error vector magnitude (EVM), and mutual information (MI), compared to conventional uniform QAM signaling. Furthermore, forward error correction (FEC) is employed to further enhance the system performance.

Authors

Institutions

Publication Details

Journal
Frontiers in Physics
Published
2026-01-06
DOI
https://doi.org/10.3389/fphy.2025.1693780
Primary Topic
Optical Network Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reducing semiconductor optical Amplifier’s non-linearity through probabilistic amplitude shaping of optical QAM signal

Muhammad Imran, Salman Ghafoor, Shakil Ahmed, L. Potì et al.
Frontiers in Physics
Optical Network Technologies
article

Reducing semiconductor optical Amplifier’s non-linearity through probabilistic amplitude shaping of optical QAM signal

Muhammad Imran, Salman Ghafoor, Shakil Ahmed, L. Potì, Muhammad Ijaz, Bisma Aziz, A Fares Hamad Aljohani
article en

Abstract

Optical communication is an efficient technology for high-speed, long-distance data transmission. Semiconductor optical amplifiers (SOAs) are particularly promising for optical signal amplification in O-band transmission due to their compact size, low power consumption, and ease of integration into photonic networks. However, SOA-based systems suffer from nonlinear impairments, which degrade signal quality, especially at higher amplification levels. These nonlinear effects arise from changes in the intrinsic properties of the SOA’s waveguide material, such as refractive index variations, when subjected to high optical field intensities. In this paper, we investigate the potential of probabilistic amplitude shaping (PAS) as a signal-shaping technique to mitigate SOA-induced nonlinearities. PAS leverages a non-uniform probability distribution of constellation points (e.g., QAM symbols) to reduce the average transmit power while maintaining the same information rate. Our simulation results demonstrate that applying PAS to standard QAM signals significantly improves received signal quality, as measured by bit error rate (BER), error vector magnitude (EVM), and mutual information (MI), compared to conventional uniform QAM signaling. Furthermore, forward error correction (FEC) is employed to further enhance the system performance.

Frontiers in PhysicsVol. 13
Manchester Metropolitan University (GB), Scuola Superiore Sant'Anna (IT), King Abdulaziz University (SA), Hazara University (PK), Consorzio Nazionale Interuniversitario per le Telecomunicazioni (IT), National University of Sciences and Technology (PK)
Affordable and clean energy
Openalex Percentile: Top 95%
Optical Network Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.