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Optimizing Multi-Cell Massive MIMO for Spectral Efficiency: How Many Users Should Be Scheduled?
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: 0000-0002-7599-4367
CentraleSupelec, France.
2014 (English)In: 2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014, Institute of Electrical and Electronics Engineers (IEEE), 2014, 612-616 p.Conference paper (Refereed)
Abstract [en]

Massive MIMO is a promising technique to increase the spectral efficiency of cellular networks, by deploying antenna arrays with hundreds or thousands of active elements at the base stations and performing coherent beamforming. A common rule-of-thumb is that these systems should have an order of magnitude more antennas, N, than scheduled users, K, because the users' channels are then likely to be quasi-orthogonal. However, it has not been proved that this rule-of-thumb actually maximizes the spectral efficiency. In this paper, we analyze how the optimal number of scheduled users, K*, depends on N and other system parameters. The value of K* in the large-N regime is derived in closed form, while simulations are used to show what happens at finite N, in different interference scenarios, and for different beamforming.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2014. 612-616 p.
National Category
Communication Systems Signal Processing Telecommunications
Identifiers
URN: urn:nbn:se:liu:diva-128640DOI: 10.1109/GlobalSIP.2014.7032190ISBN: 978-147997088-9OAI: oai:DiVA.org:liu-128640DiVA: diva2:930954
Conference
IEEE Global Conference on Signal and Information Processing (GlobalSIP. 3-5 December 2014, Atlanta, GA
Available from: 2016-05-26 Created: 2016-05-26 Last updated: 2016-08-31

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Björnson, EmilLarsson, Erik G
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Communication SystemsFaculty of Science & Engineering
Communication SystemsSignal ProcessingTelecommunications

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ReferencesLink to record
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