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K-means Clustering based Multi-Dimensional Quantization Scheme for Digital Mobile Fronthaul
KTH. Shanghai Jiao Tong Univ, State Key Lab Adv Opt Commun Syst & Networks, Shanghai, Peoples R China..ORCID iD: 0000-0001-9567-155x
KTH. RISE Acreo AB, Networking & Transmiss Lab, Kista, Sweden..ORCID iD: 0000-0003-4906-1704
RISE Acreo AB, Networking & Transmiss Lab, Kista, Sweden..
RISE Acreo AB, Networking & Transmiss Lab, Kista, Sweden..
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2018 (English)In: 2018 Optical Fiber Communications Conference and Exposition, OFC 2018 - Proceedings, Institute of Electrical and Electronics Engineers (IEEE), 2018Conference paper, Published paper (Refereed)
Abstract [en]

We propose to group highly-correlated neighboring samples into multi-dimensional vectors and adopt k-means clustering for quantization in mobile fronthaul. 30-Gbit/s transmissions have been experimentally demonstrated for up to 40 100MHz LTE channels over 20km fiber.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018.
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-232648ISI: 000437286300647Scopus ID: 2-s2.0-85050013368ISBN: 9781943580385 (print)OAI: oai:DiVA.org:kth-232648DiVA, id: diva2:1236395
Conference
2018 Optical Fiber Communications Conference and Exposition, OFC 2018, San Diego, United States, 11 March 2018 through 15 March 2018
Funder
Swedish Research CouncilSwedish Foundation for Strategic Research Vinnova, C2015/3-5 SENDATE-FICUS
Note

QC 20180802

Available from: 2018-08-02 Created: 2018-08-02 Last updated: 2022-09-07Bibliographically approved

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Zhang, LuPang, XiaodanPopov, SergeiChen, Jiajia

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