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Article overview
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Equalization of a 10 Gbps IMDD signal by a small silicon photonics time delayed neural network | Emiliano Staffoli
; Mattia Mancinelli
; Paolo Bettotti
; Lorenzo Pavesi
; | Date: |
4 Jan 2023 | Abstract: | A small 4-channels time-delayed complex perceptron is used as a silicon
photonics neural network (NN) device to compensate for chromatic dispersion in
optical fiber links. The NN device is experimentally tested with
non-return-to-zero optical signals at 10 Gbps after propagation through up to
125 km optical fiber link. During the learning phase, a separation-loss
function is optimized in order to maximally separate the transmitted levels of
0s from the 1s, which implies an optimization of the bit-error-rate. Testing of
the NN device shows that the excess losses introduced by the NN device are
compensated by the gain in transmitted signal equalization for a link longer
than 100 km. The measured data are reproduced by a model which accounts for the
optical link and the neural network device. This allows simulating the network
performances for higher data rates, where the device shows improvement with
respect to the benchmark both in terms of performance as well as ease of use. | Source: | arXiv, 2301.01630 | Services: | Forum | Review | PDF | Favorites |
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