TY - GEN
T1 - Area-Efficient Neural Network CD Equalizer for 4×200Gb/s PAM4 CWDM4 Systems
AU - Liu, Bo
AU - Bluemm, Christian
AU - Calabro, Stefano
AU - Li, Bing
AU - Schlichtmann, Ulf
N1 - Publisher Copyright:
© 2023 The Author(s).
PY - 2023
Y1 - 2023
N2 - We use a neural network trained jointly by multi-task learning on datasets acquired at multiple wavelengths to mitigate the impact of chromatic dispersion in 4×200Gb/s CWDM4 PAM4 transmission. By sharing a single set of weights among all involved wavelengths, while keeping the biases reconfigurable, we enable logic simplification of multipliers in the VLSI implementation of the neural network. Results show that the neural network equalizer achieves a similar BER compared with a Volterra equalizer with 71% reduction in hardware area.
AB - We use a neural network trained jointly by multi-task learning on datasets acquired at multiple wavelengths to mitigate the impact of chromatic dispersion in 4×200Gb/s CWDM4 PAM4 transmission. By sharing a single set of weights among all involved wavelengths, while keeping the biases reconfigurable, we enable logic simplification of multipliers in the VLSI implementation of the neural network. Results show that the neural network equalizer achieves a similar BER compared with a Volterra equalizer with 71% reduction in hardware area.
UR - http://www.scopus.com/inward/record.url?scp=85161355557&partnerID=8YFLogxK
U2 - 10.23919/OFC49934.2023.10117344
DO - 10.23919/OFC49934.2023.10117344
M3 - Conference contribution
AN - SCOPUS:85161355557
T3 - 2023 Optical Fiber Communications Conference and Exhibition, OFC 2023 - Proceedings
BT - 2023 Optical Fiber Communications Conference and Exhibition, OFC 2023 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 Optical Fiber Communications Conference and Exhibition, OFC 2023
Y2 - 5 May 2023 through 9 May 2023
ER -