We propose and experimentally validate a low-complexity time-domain (TD) digital backpropagation (DBP) algorithm for fiber nonlinearity compensation, targeting an optimized hardware implementation. To counteract the coherent accumulation of numerical quantization errors between DBP steps, we propose a random step-size distribution along the optical link (with pm5% interval around the optimal step-size). In addition, to further reduce the average quantization bit precision requirements, we propose a partitioned quantization technique, enabling to quantize the finite-impulse response (FIR) filter tail coefficients with significantly lower precision. The proposed low-complexity DBP algorithm is experimentally demonstrated over a 2592 km long-haul wavelength division multiplexing transmission system with 21 imes32 GBaud PM-16QAM optical channels. Employing the proposed step-size randomization together with dual-time-slot quantization, we demonstrate penalty-free operation at an average of sim4 b per FIR coefficient, leading to a 60% complexity reduction when compared to the standard TD-DBP implementation.

Low-Complexity Time-Domain DBP Based on Random Step-Size and Partitioned Quantization / Martins, C. S.; Bertignono, L.; Nespola, A.; Carena, A.; Guiomar, F. P.; Pinto, A. N.. - In: JOURNAL OF LIGHTWAVE TECHNOLOGY. - ISSN 0733-8724. - STAMPA. - 36:14(2018), pp. 2888-2895. [10.1109/JLT.2018.2829774]

Low-Complexity Time-Domain DBP Based on Random Step-Size and Partitioned Quantization

Bertignono L.;Carena A.;Guiomar F. P.;
2018

Abstract

We propose and experimentally validate a low-complexity time-domain (TD) digital backpropagation (DBP) algorithm for fiber nonlinearity compensation, targeting an optimized hardware implementation. To counteract the coherent accumulation of numerical quantization errors between DBP steps, we propose a random step-size distribution along the optical link (with pm5% interval around the optimal step-size). In addition, to further reduce the average quantization bit precision requirements, we propose a partitioned quantization technique, enabling to quantize the finite-impulse response (FIR) filter tail coefficients with significantly lower precision. The proposed low-complexity DBP algorithm is experimentally demonstrated over a 2592 km long-haul wavelength division multiplexing transmission system with 21 imes32 GBaud PM-16QAM optical channels. Employing the proposed step-size randomization together with dual-time-slot quantization, we demonstrate penalty-free operation at an average of sim4 b per FIR coefficient, leading to a 60% complexity reduction when compared to the standard TD-DBP implementation.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2742446