Enabling Multi-User M-MIMO for High-Mobility Users with Predictor Antennas: A Deep Analysis Based on Experimental NLOS Measurements

Predictor antenna channel measurements from a 64-antenna base station are used to investigate the effects of channel aging on the precoder design for high-mobility users in a non-line-of-sight (NLOS) massive multiple-input multiple-output (M-MIMO) environment. The effects are evaluated in terms of r...

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Vydáno v:IEEE transactions on vehicular technology Ročník 71; číslo 7; s. 7456 - 7471
Hlavní autoři: Bjorsell, Joachim, Sternad, Mikael, Phan-Huy, Dinh-Thuy
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.07.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Aging
Antenna arrays
Antenna measurements
Antennas
Carrier frequencies
Channel estimation
Channel prediction
Delays
Electrical Engineering with specialization in Signal Processing
Elektroteknik med inriktning mot signalbehandling
Estimates
Evaluation
High-mobility
M-MIMO
MIMO communication
outdated channel state information (CSI)
Precoding
Predictor antenna
ISSN:0018-9545, 1939-9359, 1939-9359
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Abstract Predictor antenna channel measurements from a 64-antenna base station are used to investigate the effects of channel aging on the precoder design for high-mobility users in a non-line-of-sight (NLOS) massive multiple-input multiple-output (M-MIMO) environment. The effects are evaluated in terms of received downlink (DL) signal-to-interference-and-noise ratio (SINR) and the corresponding ergodic capacity bound. A simulated velocity of 150 km/h is used with a carrier frequency of 2.18 GHz. Maximum ratio (MR) and a codebook-based precoders are used to evaluate single-user transmission; and zero-forcing (ZF), regularized zero-forcing (RZF), and minimum mean-squared error (MMSE) precoders are used to evaluate multi-user transmission with up to nine active users in a cell. Furthermore, predictor antenna predictions are evaluated as a mean of combating channel aging. It is also investigated how the predictor antenna can be used during data reception. Simulations show that outdated channel estimates significantly reduce the SINR and consequently the capacity for all investigated transmission techniques. Basic predictor antenna predictions outperform the use of outdated channel estimates for delays larger than 0.6 ms. In single-user transmission, channel prediction can improve the capacity by 6-14%. The gain from multi-user transmission typically disappears when using outdated channel estimates older than 1 ms. In contrast, the use of predictor antennas enables MIMO for these high-mobility users, which is demonstrated to increase the capacity bound by 100% compared to 1 ms old channel estimates.
AbstractList Predictor antenna channel measurements from a 64-antenna base station are used to investigate the effects of channel aging on the precoder design for high-mobility users in a non-line-of-sight (NLOS) massive multiple-input multiple-output (M-MIMO) environment. The effects are evaluated in terms of received downlink (DL) signal-to-interference-and-noise ratio (SINR) and the corresponding ergodic capacity bound. A simulated velocity of 150 km/h is used with a carrier frequency of 2.18 GHz. Maximum ratio (MR) and a codebook-based precoders are used to evaluate single-user transmission; and zero-forcing (ZF), regularized zero-forcing (RZF), and minimum mean-squared error (MMSE) precoders are used to evaluate multi-user transmission with up to nine active users in a cell. Furthermore, predictor antenna predictions are evaluated as a mean of combating channel aging. It is also investigated how the predictor antenna can be used during data reception. Simulations show that outdated channel estimates significantly reduce the SINR and consequently the capacity for all investigated transmission techniques. Basic predictor antenna predictions outperform the use of outdated channel estimates for delays larger than 0.6 ms. In single-user transmission, channel prediction can improve the capacity by 6–14%. The gain from multi-user transmission typically disappears when using outdated channel estimates older than 1 ms. In contrast, the use of predictor antennas enables MIMO for these high-mobility users, which is demonstrated to increase the capacity bound by 100% compared to 1 ms old channel estimates.
Predictor antenna channel measurements from a 64-antenna base station are used to investigate the effects of channel aging on the precoder design for high-mobility users in a non-line-of-sight (NLOS) massive multiple-input multiple-output (M-MIMO) environment. The effects are evaluated in terms of received downlink (DL) signal-to-interference-and-noise ratio (SINR) and the corresponding ergodic capacity bound. A simulated velocity of 150 km/h is used with a carrier frequency of 2.18 GHz. Maximum ratio (MR) and a codebook-based precoders are used to evaluate single-user transmission and zero-forcing (ZF), regularized zero-forcing (RZF), and minimum mean-squared error (MMSE) precoders are used to evaluate multi-user transmission with up to nine active users in a cell. Furthermore, predictor antenna predictions are evaluated as a mean of combating channel aging. It is also investigated how the predictor antenna can be used during data reception. Simulations show that outdated channel estimates significantly reduce the SINR and consequently the capacity for all investigated transmission techniques. Basic predictor antenna predictions outperform the use of outdated channel estimates for delays larger than 0.6 ms. In single-user transmission, channel prediction can improve the capacity by 6–14%. The gain from multi-user transmission typically disappears when using outdated channel estimates older than 1 ms. In contrast, the use of predictor antennas enables multi-user MIMO for these high-mobility users, which is demonstrated to increase the capacity bound by 100% compared to 1 ms old channel estimates. 
Author Bjorsell, Joachim
Sternad, Mikael
Phan-Huy, Dinh-Thuy
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  email: dinhthuy.phanhuy@orange.com
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Cites_doi 10.1109/VTCFall.2017.8288043
10.1109/CC.2016.7405718
10.1109/MWSYM.2014.6848613
10.1109/TVT.2016.2594031
10.1109/26.795811
10.1109/GLOCOM.2000.891231
10.1109/MCOM.2013.6525596
10.1109/JPROC.2007.904443
10.1109/PIMRC.2017.8292235
10.1109/MCOM.001.2001205
10.1109/5GWF.2018.8517035
10.1109/MSP.2014.2312183
10.1109/TCOMM.2015.2493998
10.1561/2000000093
10.1109/PIMRC.2018.8580703
10.1155/2007/49393
10.1109/TWC.2010.092810.091092
10.1109/TVT.2022.3168225
10.1109/JSAC.2020.3005492
10.1109/TSP.2013.2260331
10.1109/CommNet49926.2020.9199631
10.1109/TIT.2014.2354403
10.1049/iet-map.2018.5633
10.1109/WCNCW.2012.6215501
10.1109/LSP.2016.2604347
10.1109/VTC2020-Spring48590.2020.9129578
10.1109/EuCAP.2014.6902201
10.1109/JCN.2013.000065
10.1109/TSP.2005.850331
10.1109/ICCW.2017.7962633
10.1109/PIMRC.2018.8581030
10.1109/LWC.2020.3010579
10.1109/MCOM.2014.6815892
10.1109/LWC.2019.2958353
10.1109/TWC.2005.850327
10.1109/TVT.2016.2570742
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References ref13
ref35
ref12
ref15
ref37
ref14
ref36
ref31
ref30
ref11
ref10
ref32
Phan-Huy (ref33) 2018
ref2
ref17
ref39
ref16
ref38
ref19
ref18
Aronsson (ref42) 2011
ref24
ref23
Phan-Huy (ref22) 2016
ref25
Phan-Huy (ref26) 2021
ref20
ref41
ref21
(ref1) 2017
ref28
ref27
ref29
ref8
ref7
ref9
ref4
ref3
ref6
ref5
ref40
References_xml – ident: ref9
  doi: 10.1109/VTCFall.2017.8288043
– ident: ref2
  doi: 10.1109/CC.2016.7405718
– ident: ref14
  doi: 10.1109/MWSYM.2014.6848613
– ident: ref7
  doi: 10.1109/TVT.2016.2594031
– ident: ref13
  doi: 10.1109/26.795811
– ident: ref36
  doi: 10.1109/GLOCOM.2000.891231
– start-page: 1
  volume-title: Proc. Int. ITG Workshop Smart Antennas
  year: 2021
  ident: ref26
  article-title: Predictor antenna for robust non reciprocity based beamforming at high speed
– ident: ref18
  doi: 10.1109/MCOM.2013.6525596
– ident: ref39
  doi: 10.1109/JPROC.2007.904443
– ident: ref24
  doi: 10.1109/PIMRC.2017.8292235
– ident: ref32
  doi: 10.1109/MCOM.001.2001205
– ident: ref10
  doi: 10.1109/5GWF.2018.8517035
– ident: ref16
  doi: 10.1109/MSP.2014.2312183
– ident: ref5
  doi: 10.1109/TCOMM.2015.2493998
– start-page: 1
  volume-title: Proc. IEEE Globecom Workshops
  year: 2016
  ident: ref22
– ident: ref17
  doi: 10.1561/2000000093
– ident: ref12
  doi: 10.1109/PIMRC.2018.8580703
– ident: ref40
  doi: 10.1155/2007/49393
– ident: ref3
  doi: 10.1109/TWC.2010.092810.091092
– ident: ref27
  doi: 10.1109/TVT.2022.3168225
– ident: ref19
  doi: 10.1109/JSAC.2020.3005492
– ident: ref35
  doi: 10.1109/TSP.2013.2260331
– year: 2017
  ident: ref1
  article-title: Minimum requirements related to technical performance for IMT-2020 radio interface(s)
– ident: ref30
  doi: 10.1109/CommNet49926.2020.9199631
– start-page: 1
  volume-title: Proc. Int. ITG Workshop Smart Antennas
  year: 2018
  ident: ref33
  article-title: Adaptive massive MIMO for fast moving connected vehicles : It will work with predictor antennas!
– ident: ref38
  doi: 10.1109/TIT.2014.2354403
– ident: ref28
  doi: 10.1049/iet-map.2018.5633
– ident: ref20
  doi: 10.1109/WCNCW.2012.6215501
– ident: ref8
  doi: 10.1109/LSP.2016.2604347
– ident: ref11
  doi: 10.1109/VTC2020-Spring48590.2020.9129578
– ident: ref21
  doi: 10.1109/EuCAP.2014.6902201
– ident: ref4
  doi: 10.1109/JCN.2013.000065
– ident: ref15
  doi: 10.1109/TSP.2005.850331
– ident: ref23
  doi: 10.1109/ICCW.2017.7962633
– ident: ref25
  doi: 10.1109/PIMRC.2018.8581030
– ident: ref31
  doi: 10.1109/LWC.2020.3010579
– year: 2011
  ident: ref42
  article-title: Channel estimation and prediction for MIMO OFDM systems - Key design and performance aspects of Kalman-based algorithms
– ident: ref41
  doi: 10.1109/MCOM.2014.6815892
– ident: ref29
  doi: 10.1109/LWC.2019.2958353
– ident: ref37
  doi: 10.1109/TWC.2005.850327
– ident: ref6
  doi: 10.1109/TVT.2016.2570742
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SubjectTerms Aging
Antenna arrays
Antenna measurements
Antennas
Carrier frequencies
Channel estimation
Channel prediction
Delays
Electrical Engineering with specialization in Signal Processing
Elektroteknik med inriktning mot signalbehandling
Estimates
Evaluation
High-mobility
M-MIMO
MIMO communication
outdated channel state information (CSI)
Precoding
Predictor antenna
Title Enabling Multi-User M-MIMO for High-Mobility Users with Predictor Antennas: A Deep Analysis Based on Experimental NLOS Measurements
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