Power-Efficient and Robust Nonlinear Demapper for 64QAM using In-Memory Computing

Amro Eldebiky,Georg Boecherer,Grace Li Zhang,Bing Li,Maximilian Schaedler,Stefano Calabro,Ulf Schlichtmann

2022 EUROPEAN CONFERENCE ON OPTICAL COMMUNICATION (ECOC)（2022）

引用 0|浏览101

暂无评分

摘要

In-memory computing can trade computational accuracy for power saving. We consider the implementation of a nonlinear demapper for coherent optical transceivers and use Lipschitz constraints to increase robustness against device variations. Offline experiments demonstrate that for 64QAM we can recover the performance of a digital implementation. (C) 2022 The Author(s)

查看译文

关键词

64QAM,coherent optical transceivers,computational accuracy,digital implementation,In-memory computing,Lipschitz constraints,power saving,power-efficient nonlinear demapper,robust nonlinear demapper

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要