Core Concepts
A theoretical framework to rapidly and accurately compute the signal-to-noise ratio at the output of spatial-division multiplexing (SDM) linear MIMO equalizers, demonstrating three orders of magnitude of speed-up compared to Monte Carlo simulations.
Abstract
The content presents a theoretical framework for analyzing the performance of spatial-division multiplexing (SDM) linear MIMO equalizers. The key highlights are:
The framework can compute the signal-to-noise ratio (SNR) at the output of SDM MIMO equalizers rapidly and accurately, compared to time-consuming Monte Carlo simulations.
The model considers various aspects of the SDM channel, including mode-dependent loss (MDL), differential-mode-delay (DMD), random coupling, and in-line optical filtering.
The theoretical analysis is validated against extensive Monte Carlo simulations for different scenarios, including single-mode and four-spatial mode cases, with low and high MDL regimes.
The theoretical approach is shown to be more than three orders of magnitude faster than the Monte Carlo simulations, making it a valuable tool for the design and optimization of future optical SDM networks.
The framework provides not only the SNR values but also the actual equalizer taps, enabling a comprehensive analysis of the SDM MIMO equalizer performance.
The authors demonstrate the application of the tool to study the impact of in-line optical filtering on the SDM MIMO equalizer performance.
Stats
The content does not provide any specific numerical data or metrics to be extracted. The focus is on the theoretical framework and its validation against simulations.
Quotes
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