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

被引：0
|
作者：
Sena, Matheus [1 ]
Erkilinc, M. Sezer [1 ]
Dippon, Thomas [2 ]
Shariati, Behnam [1 ]
Emmerich, Robert [1 ]
Fischer, Johannes K. [1 ]
Freund, Ronald [1 ,3 ]
机构：
[1] Fraunhofer Inst Telecommun, Heinrich Hertz Inst, Einsteinufer 37, D-10587 Berlin, Germany
[2] Keysight Technol GmbH, Herrenberger Str 130, D-71034 Boblingen, Germany
[3] Tech Univ Berlin, Str 17 Juni 135, D-10623 Berlin, Germany
来源：
2020 EUROPEAN CONFERENCE ON OPTICAL COMMUNICATIONS (ECOC) | 2020年
基金：
欧盟地平线“2020”;
关键词：
D O I：
10.1109/ECOC48923.2020.9333408
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
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页数：4
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