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An Autonomous Identification and Pre-distortion Scheme for Cognitive Transceivers using Bayesian Optimization

 
: Sena, M.; Erkilinc, M.S.; Dippon, T.; Shariati, B.; Emmerich, R.; Fischer, J.K.; Freund, R.

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Institute of Electrical and Electronics Engineers -IEEE-:
European Conference on Optical Communications, ECOC 2020 : December 6-10, 2020, Virtual Conference
Piscataway, NJ: IEEE, 2020
ISBN: 978-1-7281-7362-7
ISBN: 978-1-7281-7361-0
S.205-208
European Conference on Optical Communications (ECOC) <46, 2020, Online>
Englisch
Konferenzbeitrag
Fraunhofer HHI ()

Abstract
We propose a Bayesian optimization based DSP algorithm that autonomously tunes Volterra filter design and the parameters of digital pre-distortion schemes to enable transmitter optimal operation. We experimentally validate it for Volterra and memory polynomial filters in a 64 and 80 GBd DP-64QAM b2b setup.

: http://publica.fraunhofer.de/dokumente/N-639277.html