全光子转换和行波管放大器在30.4 km毫米波传输中基于fl的神经网络

IF 2.5 3区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Photonics Technology Letters Pub Date : 2025-04-23 DOI:10.1109/LPT.2025.3563485

Junhao Zhao;Boyu Dong;Yinjun Liu;Dianyuan Ping;Li Tao;Shuhong He;Shishuo Liu;Zhangxiong Zi;Qichao Lu;Yaxuan Li;Junlian Jia;Zhongya Li;An Yan;Jianyang Shi;Nan Chi;Junwen Zhang

{"title":"全光子转换和行波管放大器在30.4 km毫米波传输中基于fl的神经网络","authors":"Junhao Zhao;Boyu Dong;Yinjun Liu;Dianyuan Ping;Li Tao;Shuhong He;Shishuo Liu;Zhangxiong Zi;Qichao Lu;Yaxuan Li;Junlian Jia;Zhongya Li;An Yan;Jianyang Shi;Nan Chi;Junwen Zhang","doi":"10.1109/LPT.2025.3563485","DOIUrl":null,"url":null,"abstract":"This letter presents a focal loss (FL)-based neural network soft de-mapping method for 30.4-km millimeter-wave (MMW) transmission, utilizing full-photonic up- and down-conversion. A traveling wave tube (TWT) is employed to improve power budget to realize over 50-km equivalent distance. The proposed method is shown to effectively reduce the bit error rate (BER) in MMW transmission, particularly when the model parameters are small, highlighting its potential to lower complexity of receiver. The performance of the FL function is validated using convolutional neural networks (CNN), recurrent neural networks (RNN), and residual networks (ResNet) architectures, all of which lead to a significant reduction in BER, with ResNet achieving the best results. The field trial of 30.4-km MMW transmission and targeted over 50.0-km equivalent distance have been demonstrated successfully. Notably, a 10.43-Gb/s line rate is achieved over the 30.4-km near-sea surface wireless link at 0-dBm received optical power (ROP) of transmitter photodiode.","PeriodicalId":13065,"journal":{"name":"IEEE Photonics Technology Letters","volume":"37 14","pages":"777-780"},"PeriodicalIF":2.5000,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"FL-Based NN in 30.4-km MMW Transmission Using Full-Photonic Conversion and TWT Amplifier\",\"authors\":\"Junhao Zhao;Boyu Dong;Yinjun Liu;Dianyuan Ping;Li Tao;Shuhong He;Shishuo Liu;Zhangxiong Zi;Qichao Lu;Yaxuan Li;Junlian Jia;Zhongya Li;An Yan;Jianyang Shi;Nan Chi;Junwen Zhang\",\"doi\":\"10.1109/LPT.2025.3563485\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This letter presents a focal loss (FL)-based neural network soft de-mapping method for 30.4-km millimeter-wave (MMW) transmission, utilizing full-photonic up- and down-conversion. A traveling wave tube (TWT) is employed to improve power budget to realize over 50-km equivalent distance. The proposed method is shown to effectively reduce the bit error rate (BER) in MMW transmission, particularly when the model parameters are small, highlighting its potential to lower complexity of receiver. The performance of the FL function is validated using convolutional neural networks (CNN), recurrent neural networks (RNN), and residual networks (ResNet) architectures, all of which lead to a significant reduction in BER, with ResNet achieving the best results. The field trial of 30.4-km MMW transmission and targeted over 50.0-km equivalent distance have been demonstrated successfully. Notably, a 10.43-Gb/s line rate is achieved over the 30.4-km near-sea surface wireless link at 0-dBm received optical power (ROP) of transmitter photodiode.\",\"PeriodicalId\":13065,\"journal\":{\"name\":\"IEEE Photonics Technology Letters\",\"volume\":\"37 14\",\"pages\":\"777-780\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2025-04-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Photonics Technology Letters\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10975050/\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Photonics Technology Letters","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10975050/","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}

引用次数: 0

摘要

本文提出了一种基于焦损失（FL）的神经网络软反映射方法，用于30.4 km毫米波（MMW）传输，利用全光子上下转换。采用行波管（行波管）提高功率预算，实现50公里以上的等效距离。该方法在毫米波传输中能够有效地降低误码率（BER），特别是在模型参数较小的情况下，突出了其降低接收机复杂度的潜力。使用卷积神经网络（CNN）、递归神经网络（RNN）和残差网络（ResNet）架构验证FL函数的性能，所有这些架构都显著降低了误码率，其中ResNet达到了最佳效果。成功实现了30.4 km毫米波传输和50.0 km等效距离以上目标的现场试验。值得注意的是，在发射机光电二极管接收光功率（ROP）为0 dbm的情况下，在30.4 km的近海面无线链路上实现了10.43 gb /s的线路速率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

FL-Based NN in 30.4-km MMW Transmission Using Full-Photonic Conversion and TWT Amplifier

This letter presents a focal loss (FL)-based neural network soft de-mapping method for 30.4-km millimeter-wave (MMW) transmission, utilizing full-photonic up- and down-conversion. A traveling wave tube (TWT) is employed to improve power budget to realize over 50-km equivalent distance. The proposed method is shown to effectively reduce the bit error rate (BER) in MMW transmission, particularly when the model parameters are small, highlighting its potential to lower complexity of receiver. The performance of the FL function is validated using convolutional neural networks (CNN), recurrent neural networks (RNN), and residual networks (ResNet) architectures, all of which lead to a significant reduction in BER, with ResNet achieving the best results. The field trial of 30.4-km MMW transmission and targeted over 50.0-km equivalent distance have been demonstrated successfully. Notably, a 10.43-Gb/s line rate is achieved over the 30.4-km near-sea surface wireless link at 0-dBm received optical power (ROP) of transmitter photodiode.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

IEEE Photonics Technology Letters 工程技术-工程：电子与电气

CiteScore

5.00

自引率

3.80%

发文量

404

审稿时长

2.0 months

期刊介绍： IEEE Photonics Technology Letters addresses all aspects of the IEEE Photonics Society Constitutional Field of Interest with emphasis on photonic/lightwave components and applications, laser physics and systems and laser/electro-optics technology. Examples of subject areas for the above areas of concentration are integrated optic and optoelectronic devices, high-power laser arrays (e.g. diode, CO2), free electron lasers, solid, state lasers, laser materials'' interactions and femtosecond laser techniques. The letters journal publishes engineering, applied physics and physics oriented papers. Emphasis is on rapid publication of timely manuscripts. A goal is to provide a focal point of quality engineering-oriented papers in the electro-optics field not found in other rapid-publication journals.