K-means clustering based multi-dimensional quantization scheme for digital mobile fronthaul 2018 (English)In: Optics InfoBase Conference Papers, Optics Info Base, Optical Society of America, 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

Optics Info Base, Optical Society of America, 2018.

National Category

Communication Systems

Identifiers

URN: urn:nbn:se:kth:diva-228664DOI: 10.1364/OFC.2018.Th2A.51Scopus ID: 2-s2.0-85047155406OAI: oai:DiVA.org:kth-228664DiVA, id: diva2:1210598

Conference

Optical Fiber Communication Conference, OFC 2018, San Diego, United States, 11 March 2017 through 15 March 2017

Note

Part of proceedings: ISBN 978-1-55752-820-9

Syskonpost

Not duplicate with DiVA 1236395

QC 20180529

Available from: 2018-05-29 Created: 2018-05-29 Last updated: 2023-02-20Bibliographically approved

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Zhang, LuPang, XiaodanPopov, SergeiChen, Jiajia

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Zhang, LuPang, XiaodanPopov, SergeiChen, Jiajia

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Communication Systems

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