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US 2020/0112777 A1Published application
Geometric constellation shaping for optical data transport
AssigneeNokia Solutions and Networks Oy
InventorLaurent Schmalen
Life of this patent
Estimating the term…
Abstract
An apparatus includes an optical transmitter and/or an optical receiver configured to use one or more artificial neural networks (ANNs) for geometric constellation shaping, the determination of constellation symbols to be transmitted, and/or the determination of the transmitted bit-word(s) or codewords. Each ANN has a plurality of bit-level processing portions connected to a symbol-level processing portion in a manner that enables bitwise processing of constellation-point labels.
Claims20
An apparatus comprising:
- an optical data transmitter that includes:
- an optical modulator,
- one or more electrical drivers connected to operate the optical modulator to modulate an optical carrier to carry a stream of digital symbols, and
- a digital signal processor connected to control the one or more electrical drivers in response to input data;
- and
- wherein the digital signal processor is configured to use an artificial neural network to determine values of the digital symbols corresponding to values of input bit-words applied to a plurality of inputs of the artificial neural network, each of the inputs being configured to carry a respective bit of the input bit-words to a different respective portion (6301-630m) of the artificial neural network, each of the portions being configured to respond to a respective one of the inputs.
3 more elements
An apparatus comprising:
- a coherent optical data receiver that includes an optical-to-electrical converter for a modulated optical carrier, a plurality of analog-to-digital converters, and a digital signal processor, the analog-to-digital converters being configured to output a stream of digitalizations of measurements of the modulated optical carrier performed by the optical-to-electrical converter;
- and
- wherein the digital signal processor is electrically connected to process the stream of digitalizations using an artificial neural network configured to generate a stream of output bit-words on a plurality of outputs in response to the stream of digitalizations, each of the outputs being configured to carry a respective bit of the output bit-words generated by a different respective portion of the artificial neural network, each of the different respective portions being connected to control a respective one of the outputs.
Dependencies are inferred from the claim text.