A Neural Network Based Joint CFO-SCO Equalization for OFDM-RoF in Multi-Band Mobile Fronthaul

2020 Opto-Electronics and Communications Conference (OECC) Pub Date : 2020-10-04 DOI:10.1109/OECC48412.2020.9273585

Jhih-Heng Yan, Jia-Shiang Tseng, Sheng-Chen Tsai, K. Feng

引用次数: 1

Abstract

A neural-network based machine learning joint CFO-SCO equalizer is proposed for 5G multi-service mobile fronthaul. Up-to 100 ppm CFO and 100 ppm SCO are compensated without conventional synchronization on time or frequency domain.

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基于神经网络的多波段移动前传OFDM-RoF联合CFO-SCO均衡

针对5G多业务移动前传，提出了一种基于神经网络的机器学习联合CFO-SCO均衡器。高达100 ppm CFO和100 ppm SCO的补偿没有传统的同步时间或频域。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2020 Opto-Electronics and Communications Conference (OECC)

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