Work

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

Year: 2025

Type: article

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.

Source: IEEE Microwave and Wireless Technology Letters

DOI: 10.1109/lmwt.2025.3544396

Authors: Siqi Wang, Jacopo Nanni, Giovanni Tartarini, Aziz Benlarbi-Delai

Institutions: Centre National de la Recherche Scientifique, Sorbonne Université, University of Bologna

Language: English

Topic: Advanced Photonic Communication Systems

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

Funder: Sorbonne Université