Probabilistic Design of Optical Transmission Systems

Abstract

Traditionally optical fiber nonlinearity is considered a limiting factor for transmission systems. Nevertheless from a system design perspective this nonlinearity can be exploited to minimize the impact of uncertainty on the system performance. A consequence of this is that it becomes beneficial to consider the uncertainty at the design stage, resulting in a probabilistic design, rather than conventional design approaches whereby uncertainty is added by way of system margins to a deterministic design. In this paper we conduct extensive experimental measurements to quantify the impact of uncertainty for a multi-span wavelength division multiplexed (WDM) system transmitting 100 GbE or 200 GbE as dual polarization quadrature phase shift keying (QPSK) or 16 quadrature amplitude modulation (16QAM), respectively. The impact of uncertainty in the power launched into a span is assessed for a 10×80 km link. For dual polarization (DP)-QPSK the intra-link power deviation with the probabilistic design with 100% reliability is ±1.3 dB falling to 99% reliability with ±1.6 dB. In contrast for DP-16QAM maximum deviation for 100% reliability is ±0.5 dB falling to 99% for ±0.6 dB. Following this we consider the interplay between polarization dependent loss (PDL) and fiber nonlinearity over an 8×80 km system again for both DP-QPSK and DP-16QAM. A system Q variation of less than 0.15 dB due to the interaction between PDL and fiber nonlinearity is observed for 99.9% of examined PDL values for DP-QPSK and DP-16QAM, thereby allowing the two effects to be considered separately.

Single Channel Probe Utilizing the EGN Model to Estimate Link Parameters for Network Abstraction

“…At each distance the measured SNR as a function of launch power was modeled by the three parameter model 7 given by…”

Experimental Demonstration of a 4D PDL-resilient Signaling for Long-haul Networks

“…In coherent optical fiber transmission networks, Polarization Dependent Loss (PDL) is a linear, non-unitary impairment expected to have a strong impact in next-generation systems [1]. PDL-mitigating solutions have been proposed including Polarization-time (8-dimensional) Silver coding [2] but it comes with increased equalization complexity.…”

Machine Learning Based Noise Estimation in Optical Fiber Communication Networks

“…Optical performance monitoring is a well established research area that attempts to monitor optical transmission systems with a view to assessing the quality of a transmission link [3], albeit herein we focus on the estimation of linear and nonlinear noise contributions. Classical approaches include fitting a three parameter model [4] to separate the nonlinear and linear noise contributions or estimating the ASE noise component from an optical spectrum analyzer [5].…”