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US 10,708,094 B2Granted
Transmission filtering using machine learning
AssigneeNEC Corporation
InventorsFatih Yaman, Shaoliang Zhang, Eduardo Mateo Rodriguez, Yoshihisa Inada, Yue-Kai Huang, Weiyang Mo
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Abstract
Systems and methods for transmission filtering are provided. A receiver includes an input coupled to a transmission line to receive distorted optical symbols. A distortion filter is coupled to the input to replace the distorted optical symbols with predicted symbols using a trained neural network. A decoder is coupled to the distortion filter to decode the predicted symbols.
Claims20
A receiver, comprising:
- an input coupled to a transmission line to receive distorted optical symbols, the distorted optical symbols being distorted using a plurality of bandwidth-limited filters configured to distort transmitted transmitter signals;
- a distortion filter coupled to the input to replace the distorted optical symbols with predicted symbols using a trained neural network, the neural network being trained for functions of filter narrowing induced inter-symbol interference (FN-ISI) using only transmitter symbols and receiver symbols independently of system information;
- and
- a decoder coupled to the distortion filter configured to decode the predicted symbols.
1 more element
A method for transmission filtering in a receiver, comprising:
- receiving distorted optical symbols over a transmission line, the distorted optical symbols being distorted using a plurality of bandwidth-limited filters configured to distort transmitted transmitter signals;
- identifying the distorted symbols using a trained neural network, which outputs predicted symbols, the neural network being trained for functions of filter narrowing induced inter-symbol interference (FN-ISI) using only transmitter symbols and receiver symbols independently of system information;
- and
- preventing filter narrowing by filtering the distorted symbols by decoding the predicted symbols in place of the distorted symbols.
1 more element
A method for transmission filtering in a receiver, comprising:
- inputting symbols received over a transmission system to a trained neural network as an input;
- adjusting weights to program the neural network to yield transmitted symbols transmitted over the transmission system, the transmitted symbols being distorted into distorted optical symbols using a plurality of bandwidth-limited filters configured to distort transmitted transmitter signals;
- and
- mitigating filter narrowing over a transmission line by:
- identifying distorted symbols over the transmission line using the trained neural network, which outputs predicted symbols, the neural network being trained for functions of filter narrowing induced inter-symbol interference (FN-ISI) using only transmitter symbols and receiver symbols independently of system information;
- and
- filtering the distorted symbols by decoding the predicted symbols in place of the distorted symbols.
4 more elements
Dependencies are inferred from the claim text.