{"title":"无线光纤网络中AI计算的非线性VCSEL动力学解锁","authors":"Siqi Wang;Jacopo Nanni;Giovanni Tartarini;Aziz Benlarbi-Delai","doi":"10.1109/LMWT.2025.3544396","DOIUrl":null,"url":null,"abstract":"The paradigm of joint communication and computation (J2C) is proposed to integrate artificial intelligence (AI) features within mobile front-haul infrastructures that exploit analog radio-over-fiber (ARoF) technology. The nonlinearity of a vertical cavity surface emitting laser (VCSEL)-based ARoF system is used for processing the transmitted data. In a classical communication system, the data connected at one side of the network is transmitted through the network to the other side for being processed. In this letter, we discover that nonlinear properties of VCSEL enable the neural network computing when signals are transmitted in the network, drastically reducing the computing consumption.","PeriodicalId":73297,"journal":{"name":"IEEE microwave and wireless technology letters","volume":"35 5","pages":"585-588"},"PeriodicalIF":0.0000,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Unlocking Nonlinear 850-nm VCSEL Dynamics for AI Computing in Radio-Over-Fiber Networks\",\"authors\":\"Siqi Wang;Jacopo Nanni;Giovanni Tartarini;Aziz Benlarbi-Delai\",\"doi\":\"10.1109/LMWT.2025.3544396\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paradigm of joint communication and computation (J2C) is proposed to integrate artificial intelligence (AI) features within mobile front-haul infrastructures that exploit analog radio-over-fiber (ARoF) technology. The nonlinearity of a vertical cavity surface emitting laser (VCSEL)-based ARoF system is used for processing the transmitted data. In a classical communication system, the data connected at one side of the network is transmitted through the network to the other side for being processed. In this letter, we discover that nonlinear properties of VCSEL enable the neural network computing when signals are transmitted in the network, drastically reducing the computing consumption.\",\"PeriodicalId\":73297,\"journal\":{\"name\":\"IEEE microwave and wireless technology letters\",\"volume\":\"35 5\",\"pages\":\"585-588\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-03-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE microwave and wireless technology letters\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10910188/\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"0\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE microwave and wireless technology letters","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10910188/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Unlocking Nonlinear 850-nm VCSEL Dynamics for AI Computing in Radio-Over-Fiber Networks
The paradigm of joint communication and computation (J2C) is proposed to integrate artificial intelligence (AI) features within mobile front-haul infrastructures that exploit analog radio-over-fiber (ARoF) technology. The nonlinearity of a vertical cavity surface emitting laser (VCSEL)-based ARoF system is used for processing the transmitted data. In a classical communication system, the data connected at one side of the network is transmitted through the network to the other side for being processed. In this letter, we discover that nonlinear properties of VCSEL enable the neural network computing when signals are transmitted in the network, drastically reducing the computing consumption.
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