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Unlocking Nonlinear 850-nm VCSEL Dynamics for AI Computing in Radio-Over-Fiber Networks

descriptionPublicationkeyboard_double_arrow_right Article 01 May 2025Embargo end date: 30 Jun 2025Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Microwave and Wireless Technology Letters, volume 35, pages 585-588 (issn: 2771-957X, eissn: 2771-9588, Copyright policy )
Authors: Siqi Wang; Jacopo Nanni; Giovanni Tartarini; Aziz Benlarbi-Delai;

doi: 10.1109/lmwt.2025.3544396

handle: 11585/1015755

Unlocking Nonlinear 850-nm VCSEL Dynamics for AI Computing in Radio-Over-Fiber Networks

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.

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Keywords

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Artificial intelligence (AI); behavioral modeling; joint communication and computation (J2C); neural network; nonlinearity; radio-over-fiber (RoF), behavioral modeling, [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], neural network, [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], nonlinearity, Artificial intelligence (AI), joint communication and computation (J2C), radio-over-fiber (RoF)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
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