PIDT: Physics-Informed Digital Twin for Optical Fiber Parameter Estimation
Paper in proceeding, 2026
We propose physics-informed digital twin (PIDT): a fiber parameter estimation approach that combines a parameterized split-step method with a physics-informed loss. PIDT improves accuracy and convergence speed with lower complexity compared to previous neural operators.
Parameterized Split-Step-Fourier Method
Physics-Informed Neural Networks
fiber-optic communications
Fiber Parameter Estimation
Author
Zicong Jiang
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Magnus Karlsson
Chalmers, Microtechnology and Nanoscience (MC2), Photonics
Erik Agrell
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Christian Häger
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
2026 Optical Fiber Communication Conference and Exhibition, OFC 2026 - Proceeding
978-1-957171-54-8 (ISBN)
2026 Optical Fiber Communication Conference, OFC 2026
Los Angeles, USA,
Los Angeles, USA,
Physics-Based Deep Learning for Optical Data Transmission and Distributed Sensing
Swedish Research Council (VR) (2020-04718), 2021-01-01 -- 2024-12-31.
Fiber Networks as Unintended Microphone Arrays: Attack Surface, Vulnerability, and Defenses
Swedish Research Council (VR) (2025-04836), 2025-12-01 -- 2030-12-31.
Areas of Advance
Information and Communication Technology
Subject Categories (SSIF 2025)
Communication Systems
Telecommunications
Signal Processing
Electrical Engineering, Electronic Engineering, Information Engineering