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Optimal Base Station Design with Limited Fronthaul: Massive Bandwidth or Massive MIMO?
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-5954-434X
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-7599-4367
2017 (English)In: 2017 IEEE GLOBECOM WORKSHOPS (GC WKSHPS), IEEE , 2017Conference paper, Published paper (Refereed)
Abstract [en]

To reach a cost-efficient 5G architecture, the use of remote radio heads connected through a fronthaul to baseband controllers is a promising solution. However, the fronthaul links must support high bit rates as 5G networks are projected to use wide bandwidths and many antennas. Upgrading all of the existing fronthaul connections would be cumbersome, while replacing the remote radio head and upgrading the software in the baseband controllers is relatively simple. In this paper, we consider the uplink and seek the answer to the question: If we have a fixed fronthaul capacity and can deploy any technology in the remote radio head, what is the optimal technology? In particular, we optimize the number of antennas, quantization bits and bandwidth to maximize the sum rate under a fronthaul capacity constraint. The analytical results suggest that operating with many antennas equipped with low-resolution analog-to-digital converters, while the interplay between number of antennas and bandwidth depends on various parameters. The numerical analysis provides further insights into the design of communication systems with limited fronthaul capacity.

Place, publisher, year, edition, pages
IEEE , 2017.
Series
IEEE Globecom Workshops, ISSN 2166-0069
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-147210DOI: 10.1109/GLOCOMW.2017.8269155ISI: 000426984700124ISBN: 978-1-5386-3920-7 (print)OAI: oai:DiVA.org:liu-147210DiVA, id: diva2:1197319
Conference
36th IEEE Global Communications Conference (GLOBECOM)
Note

Funding Agencies|ELLIIT; Swedish Research Council (VR) [2015-05573]; Swedish Foundation for Strategic Research

Available from: 2018-04-12 Created: 2018-04-12 Last updated: 2019-06-28

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Total: 48 hits
CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • Other style
More styles
Language
  • de-DE
  • en-GB
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  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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