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K-means clustering based multi-dimensional quantization scheme for digital mobile fronthaul
KTH. Shanghai Jiao Tong University, China.ORCID iD: 0000-0001-9567-155x
KTH. RISE Acreo AB, Sweden.
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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-s2.0-85047155406ISBN: 9781557528209 (print)OAI: 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

QC 20180529

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

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Authority records BETA

Zhang, LuPang, XiaodanPopov, SergeiChen, Jiajia

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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Language
  • de-DE
  • en-GB
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  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf