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A Model-Driven Approach to Enhance Faster-than-Nyquist Signaling over Nonlinear Channels

Tongzhou Yu Baoming Bai Ruimin Yuan Chao Chen

Journal of Communications and Information Networks2023，Vol.8Issue(4)：P.341-348,8.

A Model-Driven Approach to Enhance Faster-than-Nyquist Signaling over Nonlinear Channels

Tongzhou Yu ¹Baoming Bai ¹Ruimin Yuan ¹Chao Chen¹

作者信息

1. State Key Laboratory of ISN,Xidian University,Xi''an 710071,China
折叠

摘要

关键词

Faster-than-Nyquist signaling/high power amplifier/nonlinear compensation/complex-valued neural network

分类

信息技术与安全科学

引用本文复制引用

Tongzhou Yu,Baoming Bai,Ruimin Yuan,Chao Chen..A Model-Driven Approach to Enhance Faster-than-Nyquist Signaling over Nonlinear Channels[J].Journal of Communications and Information Networks,2023,8(4):P.341-348,8.

基金项目

supported in part by the National Key R&D Program of China under Grant 2021YFB2900501 （）

and in part by the National Natural Science Foundation of China under Grant 62171356. （）

Journal of Communications and Information Networks

OACSCDEI

ISSN：2096-1081

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