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(Invited Paper) Impact of Spatially Consistent Channels on Digital Beamforming for Millimeter-Wave Systems

Tataria, Harsh LU and Tufvesson, Fredrik LU (2020) 14th European Conference on Antennas and Propagation 2020
Abstract
The premise of massive multiple-input multiple-output (MIMO) is based around coherent transmission and detection. Majority of the vast literature on massive MIMO presents performance evaluations over simplified statistical propagation models. All such models are drop-based and do not ensure continuity of channel parameters. In this paper, we quantify the impact of spatially consistent (SC) models on beamforming for massive MIMO systems. We focus on the downlink of a 28GHz multiuser urban microcellular scenario. Using the recently standardized Third Generation Partnership Project 38.901 SC-I procedure, we evaluate the signal-to-interference-plus-noise ratio of a user equipment and the system ergodic sum spectral efficiency with... (More)
The premise of massive multiple-input multiple-output (MIMO) is based around coherent transmission and detection. Majority of the vast literature on massive MIMO presents performance evaluations over simplified statistical propagation models. All such models are drop-based and do not ensure continuity of channel parameters. In this paper, we quantify the impact of spatially consistent (SC) models on beamforming for massive MIMO systems. We focus on the downlink of a 28GHz multiuser urban microcellular scenario. Using the recently standardized Third Generation Partnership Project 38.901 SC-I procedure, we evaluate the signal-to-interference-plus-noise ratio of a user equipment and the system ergodic sum spectral efficiency with zero-forcing, block diagonalization, and signal-to-leakage-plus-noise ratio beamforming. Our results disclose that at practical signal-to-noise ratio levels, SC channels yield a significant performance loss relative to the case without SC due to substantial spatial correlation across the channel parameters. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
in press
subject
keywords
Beamforming, ergodic sum spectral efficiency, massive MIMO, mmWave, SINR, spectral efficiency
host publication
14th European Conference on Antennas and Propagation (EuCAP)
pages
5 pages
conference name
14th European Conference on Antennas and Propagation 2020
conference location
Copenhagen, Denmark
conference dates
2020-03-15 - 2020-03-20
project
Massive Mimo Technology and Applications
language
English
LU publication?
yes
additional info
Invited paper to EuCAP 2020, Copenhagen
id
3aa4ef96-7c61-4b4d-ac37-799243394d74
date added to LUP
2020-03-03 11:31:56
date last changed
2020-03-05 10:25:38
@inproceedings{3aa4ef96-7c61-4b4d-ac37-799243394d74,
  abstract     = {The premise of massive multiple-input multiple-output (MIMO) is based around coherent transmission and detection. Majority of the vast literature on massive MIMO presents performance evaluations over simplified statistical propagation models. All such models are drop-based and do not ensure continuity of channel parameters. In this paper, we quantify the impact of spatially consistent (SC) models on beamforming for massive MIMO systems. We focus on the downlink of a 28GHz multiuser urban microcellular scenario. Using the recently standardized Third Generation Partnership Project 38.901 SC-I procedure, we evaluate the signal-to-interference-plus-noise ratio of a user equipment and the system ergodic sum spectral efficiency with zero-forcing, block diagonalization, and signal-to-leakage-plus-noise ratio beamforming. Our results disclose that at practical signal-to-noise ratio levels, SC channels yield a significant performance loss relative to the case without SC due to substantial spatial correlation across the channel parameters.},
  author       = {Tataria, Harsh and Tufvesson, Fredrik},
  booktitle    = {14th European Conference on Antennas and Propagation (EuCAP)},
  language     = {eng},
  month        = {03},
  title        = {(Invited Paper) Impact of Spatially Consistent Channels on Digital Beamforming for Millimeter-Wave Systems},
  url          = {https://lup.lub.lu.se/search/ws/files/76824624/1570624358_8_.pdf},
  year         = {2020},
}