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Optimal Base Station Design with Limited Fronthaul: Massive Bandwidth or Massive MIMO?
Linköping Univ, Dept Elect Engn, Linköping, Sweden..ORCID iD: 0000-0002-2722-4405
Dept. of Electrical Engineering, Linköping University, Linköping, Sweden.ORCID iD: 0000-0002-5954-434x
Linköping Univ, Dept Elect Engn, Linköping, Sweden..
2017 (English)In: 2017 IEEE Globecom Workshops, GC Wkshps 2017 - Proceedings, Institute of Electrical and Electronics Engineers (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
Institute of Electrical and Electronics Engineers (IEEE), 2017.
Series
IEEE Globecom Workshops, ISSN 2166-0069
National Category
Signal Processing Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-295916DOI: 10.1109/GLOCOMW.2017.8269155ISI: 000426984700124Scopus ID: 2-s2.0-85050510055OAI: oai:DiVA.org:kth-295916DiVA, id: diva2:1664601
Conference
36th IEEE Global Communications Conference (IEEE GLOBECOM), DEC 04-08, 2017, Singapore, Singapore
Note

QC 20220616

Part of proceedings: ISBN 978-1-5386-3920-7

Available from: 2022-06-03 Created: 2022-06-03 Last updated: 2022-06-25Bibliographically approved

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Björnson, Emil

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • de-DE
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