Quasi-Single-Mode Transmission over Ultra-Low Loss Few-Mode Fibre for Data Centre Interconnects

[2608.14901] Quasi-Single-Mode Transmission over Ultra-Low Loss Few-Mode Fibre for Data Centre Interconnects Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Electrical Engineering and Systems Science > Signal Processing arXiv:2608.14901 (eess) [Submitted on 14 Aug 2026] Title: Quasi-Single-Mode Transmission over Ultra-Low Loss Few-Mode Fibre for Data Centre Interconnects Authors: Fabio A. Barbosa , Rostislav R. Khrapko , Ming-Jun Li , Filipe M. Ferreira View a PDF of the paper titled Quasi-Single-Mode Transmission over Ultra-Low Loss Few-Mode Fibre for Data Centre Interconnects, by Fabio A. Barbosa and 2 other authors View PDF Abstract: A novel ultra-low-loss few-mode fibre is experimentally investigated for quasi-single-mode transmission over data centre interconnect distances. Multipath interference is characterised across the C-band matching a modified Gaussian noise model to experimental results obtained with conventional training-sequence-based digital signal processing, enabling inservice assessment without traffic disruption. This model shows strong agreement with power-fluctuation measurements performed on a dedicated unmodulated-laser setup. The impact of equaliser length and digital backpropagation on system performance is also analysed. Compared with standard ultralow-loss single-mode fibres, transmission experiments reveal only minor signal-to-noise ratio degradation for up to 42-Gbaud DP-256-QAM over a 24-km span. These findings highlight the potential of ultra-low-loss few-mode fibre for scalable, highcapacity data centre interconnect applications while offering potential for future space-division multiplexing upgrades. Comments: This article has been accepted for publication in IEEE Photonics Technology Letters. This is the author's version which has not been fully edited and content may change prior to final publication. Citation information: DOI https://doi.org/10.1109/LPT.2026.3659618 Subjects: Signal Processing (eess.SP) Cite as: arXiv:2608.14901 [eess.SP] (or arXiv:2608.14901v1 [eess.SP] for this version) https://doi.org/10.48550/arXiv.2608.14901 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Fabio Barbosa [ view email ] [v1] Fri, 14 Aug 2026 21:18:45 UTC (441 KB) Full-text links: Access Paper: View a PDF of the paper titled Quasi-Single-Mode Transmission over Ultra-Low Loss Few-Mode Fibre for Data Centre Interconnects, by Fabio A. Barbosa and 2 other authors View PDF view license Current browse context: eess.SP < prev | next > new | recent | 2026-08 Change to browse by: eess References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs . Which authors of this paper are endorsers? | Disable MathJax ( What is MathJax? ) We gratefully acknowledge support from our major funders , member institutions , , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab) Major funding support from

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