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Massive MIMO with Per-Antenna Digital Predistortion Size Optimization : Does it Help?

Sheikhi, Ashkan LU orcid ; Rusek, Fredrik LU and Edfors, Ove LU orcid (2021) 2021 IEEE International Conference on Communications, ICC 2021 In IEEE International Conference on Communications
Abstract

In this paper, we study the effect of optimizing the per-antenna digital predistortion (DPD) sizes on the performance of the downlink massive MIMO system with residual hardware impairment. In particular, we first quantify the capacity after applying some per-antenna DPD with different numbers of coefficients at each antenna and then maximize the capacity by finding optimum values of the per-antenna DPD sizes under a constraint on the total number of DPD coefficients in the system. Two closed-form sub-optimal solutions are derived and numerical examples illustrate that their performance is very close to the optimal solution. It is shown that when the channel large-scale gains have high variation over the transmitter array, which is the... (More)

In this paper, we study the effect of optimizing the per-antenna digital predistortion (DPD) sizes on the performance of the downlink massive MIMO system with residual hardware impairment. In particular, we first quantify the capacity after applying some per-antenna DPD with different numbers of coefficients at each antenna and then maximize the capacity by finding optimum values of the per-antenna DPD sizes under a constraint on the total number of DPD coefficients in the system. Two closed-form sub-optimal solutions are derived and numerical examples illustrate that their performance is very close to the optimal solution. It is shown that when the channel large-scale gains have high variation over the transmitter array, which is the case in practical scenarios, using our proposed optimized DPD sizes can improve the system capacity significantly. This allows us to scale down the massive MIMO system but still maintain performance. We also study the asymptotic behavior of the derived capacity and show that by using the optimized DPD sizes, the system performance can approach the asymptotic bound with a significantly smaller number of antennas.

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Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Digital Predistortion, Hardware Impairment, Massive MIMO
host publication
ICC 2021 - IEEE International Conference on Communications, Proceedings
series title
IEEE International Conference on Communications
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
2021 IEEE International Conference on Communications, ICC 2021
conference location
Virtual, Online, Canada
conference dates
2021-06-14 - 2021-06-23
external identifiers
  • scopus:85115693953
ISSN
1550-3607
ISBN
9781728171227
DOI
10.1109/ICC42927.2021.9500739
language
English
LU publication?
yes
additional info
Publisher Copyright: © 2021 IEEE.
id
ffeed9af-aabc-4709-8349-d557068f3023
date added to LUP
2021-11-01 13:21:16
date last changed
2025-04-04 15:41:46
@inproceedings{ffeed9af-aabc-4709-8349-d557068f3023,
  abstract     = {{<p>In this paper, we study the effect of optimizing the per-antenna digital predistortion (DPD) sizes on the performance of the downlink massive MIMO system with residual hardware impairment. In particular, we first quantify the capacity after applying some per-antenna DPD with different numbers of coefficients at each antenna and then maximize the capacity by finding optimum values of the per-antenna DPD sizes under a constraint on the total number of DPD coefficients in the system. Two closed-form sub-optimal solutions are derived and numerical examples illustrate that their performance is very close to the optimal solution. It is shown that when the channel large-scale gains have high variation over the transmitter array, which is the case in practical scenarios, using our proposed optimized DPD sizes can improve the system capacity significantly. This allows us to scale down the massive MIMO system but still maintain performance. We also study the asymptotic behavior of the derived capacity and show that by using the optimized DPD sizes, the system performance can approach the asymptotic bound with a significantly smaller number of antennas.</p>}},
  author       = {{Sheikhi, Ashkan and Rusek, Fredrik and Edfors, Ove}},
  booktitle    = {{ICC 2021 - IEEE International Conference on Communications, Proceedings}},
  isbn         = {{9781728171227}},
  issn         = {{1550-3607}},
  keywords     = {{Digital Predistortion; Hardware Impairment; Massive MIMO}},
  language     = {{eng}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE International Conference on Communications}},
  title        = {{Massive MIMO with Per-Antenna Digital Predistortion Size Optimization : Does it Help?}},
  url          = {{http://dx.doi.org/10.1109/ICC42927.2021.9500739}},
  doi          = {{10.1109/ICC42927.2021.9500739}},
  year         = {{2021}},
}