Nonlinearity Cancellation Based on Optimized First Order Perturbative Kernels
Alex Alvarado, Astrid Barreiro, Gabriele Liga
TL;DR
The paper tackles nonlinear distortions in fiber-optic channels modeled by the Manakov equation and proposes interference cancellation based on power-optimized first-order regular perturbation (FRP) kernels, specifically the NBGD kernels. A genie-aided estimator leverages these kernels to cancel the perturbative nonlinear interference $\Delta \mathbf{a}$, with the FRP model expressed as $\mathbf{y}_0 \approx \mathbf{a}_0 + \Delta \mathbf{a}_0 + \mathbf{n}_0$ and $\Delta \mathbf{a}_0 = j \frac{8}{9} \gamma E_s \sum_{(klm)\in \mathcal{M}} (\mathbf{a}_k^\dagger \mathbf{a}_l) \mathbf{a}_m S_{klm}$. Numerical results for PM-16QAM show up to $2.5$ dB improvement in effective SNR and a $0.42$ bit/2D GMI gain, with the optimum launch power shifted by $+1.5$ dB, highlighting the importance of per-launch-power kernel optimization. The results also indicate robustness relies on matching kernel optimization to the operating power, motivating future work on low-complexity receivers and broader comparisons to existing cancellation schemes. Overall, the work demonstrates the theoretical and practical potential of NBGD-based nonlinear cancellation for single-span, single-channel fiber systems.
Abstract
The potential offered by interference cancellation based on optimized regular perturbation kernels of the Manakov equation is studied. Theoretical gains of up to 2.5 dB in effective SNR are demonstrated.
