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Impact of User Number on Massive MIMO with a Practical Number of Antennas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publication2018 IEEE 87th Vehicular Technology Conference (VTC Spring 2018)
Subtitle of host publicationProceedings of a meeting held 3-6 June 2018, Porto, Portugal.
Publisher or commissioning bodyInstitute of Electrical and Electronics Engineers (IEEE)
Pages600-604
Number of pages5
ISBN (Electronic)9781538663554
ISBN (Print)9781538663561
DOIs
DateAccepted/In press - 4 Jun 2018
DateE-pub ahead of print - 20 Jul 2018
DatePublished (current) - Aug 2018
Event87th IEEE Vehicular Technology Conference, VTC Spring 2018 - Porto, Portugal
Duration: 3 Jun 20186 Jun 2018

Publication series

NameIEEE Vehicular Technology Conference
PublisherIEEE
ISSN (Print)1090-3038
ISSN (Electronic)2577-2465

Conference

Conference87th IEEE Vehicular Technology Conference, VTC Spring 2018
CountryPortugal
CityPorto
Period3/06/186/06/18

Abstract

This paper evaluates the impact of spatially multiplexing more users within a massive multiple- input, multiple-output (MIMO) system. Recent works on massive MIMO show that there is a peak value for sum spectrum efficiency (SE) achieved by serving a certain number of users. It was shown that until the sum SE reached its peak value, the maximum sum SE is achieved by serving all users simultaneously. These results were based on perfect channel state information (CSI) or Shannon capacity calculations or using very large number of antennas at the base station (BS). As opposed to the aforementioned results, we show that the maximum sum SE with practical number of antennas could be achieved by decreasing number of users before the sum SE reached its peak value. This is shown by calculating the sum SE based on the Error Vector Magnitude (EVM) performance. Sum SE with zero- forcing (ZF) and matched filtering (MF) is presented for uplink (UL) data transmission in a single-cell. Channel matrices formed from both independent and identically distributed (IID) Rayleigh samples and measured data from a real massive MIMO system were used for performance evaluation. The impact of adding more users is also demonstrated by real constellations captured from an indoor massive MIMO trail.

    Research areas

  • 5G, Channel Estimation, EVM, Massive MIMO

Event

87th IEEE Vehicular Technology Conference, VTC Spring 2018

Duration3 Jun 20186 Jun 2018
CityPorto
CountryPortugal

Event: Conference

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DOI

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