Precoding for TDD and FDD in Measured Massive MIMO Channels

This paper analyzes the performance of well-known precoding schemes for massive multiple-input multiple-output (MMIMO) systems. The investigations are based on extensive measurements made with a sounding system capable of capturing the dynamic channels towards users moving in many different outdoor...

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Main Authors: Jesper Odum Nielsen, Anders Karstensen, Patrick C. F. Eggers, Elisabeth De Carvalho, Gerhard Steinbock, Martin Alm
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9235534/
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spelling doaj-2de7e925318a47e6956c8176d87b87532021-03-30T03:43:38ZengIEEEIEEE Access2169-35362020-01-01819364419365410.1109/ACCESS.2020.30331669235534Precoding for TDD and FDD in Measured Massive MIMO ChannelsJesper Odum Nielsen0https://orcid.org/0000-0002-8505-853XAnders Karstensen1https://orcid.org/0000-0002-2296-3970Patrick C. F. Eggers2https://orcid.org/0000-0002-2359-9779Elisabeth De Carvalho3https://orcid.org/0000-0002-5478-5531Gerhard Steinbock4Martin Alm5Department of Electronic Systems, Technical Faculty of IT and Design, Aalborg University, Aalborg, DenmarkDepartment of Electronic Systems, Technical Faculty of IT and Design, Aalborg University, Aalborg, DenmarkDepartment of Electronic Systems, Technical Faculty of IT and Design, Aalborg University, Aalborg, DenmarkDepartment of Electronic Systems, Technical Faculty of IT and Design, Aalborg University, Aalborg, DenmarkHuawei Technologies Sweden AB, Gothenburg, SwedenHuawei Technologies Sweden AB, Gothenburg, SwedenThis paper analyzes the performance of well-known precoding schemes for massive multiple-input multiple-output (MMIMO) systems. The investigations are based on extensive measurements made with a sounding system capable of capturing the dynamic channels towards users moving in many different outdoor scenarios. Assuming ideal channel state information (CSI), results show that the mean sum-rate of the maximum ratio transmission (MRT) precoder varies considerably with the scenario, e.g., from 6.5 to 14.5 bit/s/Hz (10%- and 90%-percentiles) for a 64 element uniform linear array (ULA) at the base station (BS), while the zero-forcing (ZF) and signal to leakage and noise ratio (SLNR) precoders are more robust and higher performing with variation from 13.4 to 16.3 bit/s/Hz in the same conditions. However, when the CSI is non-ideal the performance drops. With the CSI delayed corresponding to movement of about 1/5 of a wavelength, the ZF and SLNR mean sum-rate is 60-92% of that achieved with ideal CSI (10%- and 90%-percentiles). More statistics for different massive array sizes with both delay and frequency offset CSI are given in the paper.https://ieeexplore.ieee.org/document/9235534/Cellular communicationschannel soundingmassive MIMOmulti-userprecodingradio propagation measurements
collection DOAJ
language English
format Article
sources DOAJ
author Jesper Odum Nielsen
Anders Karstensen
Patrick C. F. Eggers
Elisabeth De Carvalho
Gerhard Steinbock
Martin Alm
spellingShingle Jesper Odum Nielsen
Anders Karstensen
Patrick C. F. Eggers
Elisabeth De Carvalho
Gerhard Steinbock
Martin Alm
Precoding for TDD and FDD in Measured Massive MIMO Channels
IEEE Access
Cellular communications
channel sounding
massive MIMO
multi-user
precoding
radio propagation measurements
author_facet Jesper Odum Nielsen
Anders Karstensen
Patrick C. F. Eggers
Elisabeth De Carvalho
Gerhard Steinbock
Martin Alm
author_sort Jesper Odum Nielsen
title Precoding for TDD and FDD in Measured Massive MIMO Channels
title_short Precoding for TDD and FDD in Measured Massive MIMO Channels
title_full Precoding for TDD and FDD in Measured Massive MIMO Channels
title_fullStr Precoding for TDD and FDD in Measured Massive MIMO Channels
title_full_unstemmed Precoding for TDD and FDD in Measured Massive MIMO Channels
title_sort precoding for tdd and fdd in measured massive mimo channels
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2020-01-01
description This paper analyzes the performance of well-known precoding schemes for massive multiple-input multiple-output (MMIMO) systems. The investigations are based on extensive measurements made with a sounding system capable of capturing the dynamic channels towards users moving in many different outdoor scenarios. Assuming ideal channel state information (CSI), results show that the mean sum-rate of the maximum ratio transmission (MRT) precoder varies considerably with the scenario, e.g., from 6.5 to 14.5 bit/s/Hz (10%- and 90%-percentiles) for a 64 element uniform linear array (ULA) at the base station (BS), while the zero-forcing (ZF) and signal to leakage and noise ratio (SLNR) precoders are more robust and higher performing with variation from 13.4 to 16.3 bit/s/Hz in the same conditions. However, when the CSI is non-ideal the performance drops. With the CSI delayed corresponding to movement of about 1/5 of a wavelength, the ZF and SLNR mean sum-rate is 60-92% of that achieved with ideal CSI (10%- and 90%-percentiles). More statistics for different massive array sizes with both delay and frequency offset CSI are given in the paper.
topic Cellular communications
channel sounding
massive MIMO
multi-user
precoding
radio propagation measurements
url https://ieeexplore.ieee.org/document/9235534/
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AT elisabethdecarvalho precodingfortddandfddinmeasuredmassivemimochannels
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