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A Scalable Architecture for Massive MIMO Base Stations Using Distributed Processing
Linköping University, Department of Electrical Engineering, Computer Engineering. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Electrical Engineering, Computer Engineering. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0003-3470-3911
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-7599-4367
2016 (English)In: 2016 50TH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS, Washington: IEEE COMPUTER SOC , 2016, p. 864-868Conference paper, Published paper (Refereed)
Abstract [en]

Massive MIMO-systems have received considerable attention in recent years as an enabler in future wireless communication systems. As the idea is based on having a large number of antennas at the base station it is important to have both a scalable and distributed realization of such a system to ease deployment. Most work so far have focused on the theoretical aspects although a few demonstrators have been reported. In this work, we propose a base station architecture based on connecting the processing nodes in a K-ary tree, allowing simple scalability. Furthermore, it is shown that most of the processing can be performed locally in each node. Further analysis of the node processing shows that it should be enough that each node contains one or two complex multipliers and a few complex adders/subtracters operating at some hundred MHz. It is also shown that a communication link of some Gbps is required between the nodes, and, hence, it is fully feasible to have one or a few links between the nodes to cope with the communication requirements.

Place, publisher, year, edition, pages
Washington: IEEE COMPUTER SOC , 2016. p. 864-868
Series
Conference Record of the Asilomar Conference on Signals Systems and Computers, ISSN 1058-6393
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-139925DOI: 10.1109/ACSSC.2016.7869172ISI: 000406057400152ISBN: 978-1-5386-3954-2 (print)OAI: oai:DiVA.org:liu-139925DiVA, id: diva2:1135164
Conference
50th Asilomar Conference on Signals, Systems, and Computers (ASILOMARSSC), November 6-9, 2016, Pacific Grove, CA, USA.
Available from: 2017-08-22 Created: 2017-08-22 Last updated: 2017-09-14Bibliographically approved

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Bertilsson, ErikGustafsson, OscarLarsson, Erik G
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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
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  • vancouver
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  • Other style
More styles
Language
  • de-DE
  • en-GB
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  • nn-NB
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  • Other locale
More languages
Output format
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