An improved dropping algorithm for line-of-sight massive MIMO with max-min power control

Amirashkan Farsaei (Corresponding author), Alex Alvarado, Frans Willems, Ulf Gustavsson

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)

Abstract

In line-of-sight massive MIMO, there is a nonnegligible probability that two users become highly correlated, which leads to a reduction in the achievable sum-rates of linear precoders. In this paper, threshold values of a previously proposed dropping algorithm are found analytically to avoid repeating a large number of simulations to find the optimal threshold. These thresholds allow us to improve conjugate beamforming (CB) and zero-forcing (ZF) sum-rates with max-min power control. By using the proposed threshold values, the CB and ZF sum-rates are maximized, when there are only two correlated users. In addition, by using the derived thresholds, a modified dropping algorithm is proposed for channels with any number of correlated users. The results of the simulation scenarios show that at signal to noise ratio of 20 dB and 120 antennas at the base station, the modified algorithm improves the average CB and ZF sum-rates up to 36% and 5%, respectively.
LanguageEnglish
Pages1109-1112
Number of pages4
JournalIEEE Communications Letters
Volume23
Issue number6
DOIs
StatePublished - 2019

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Power Control
Beamforming
Min-max
MIMO systems
Multiple-input multiple-output (MIMO)
Power control
Zero-forcing
Line
Threshold Value
Base stations
Signal to noise ratio
Antennas
Antenna
Simulation
Scenarios

Cite this

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title = "An improved dropping algorithm for line-of-sight massive MIMO with max-min power control",
abstract = "In line-of-sight massive MIMO, there is a nonnegligible probability that two users become highly correlated, which leads to a reduction in the achievable sum-rates of linear precoders. In this paper, threshold values of a previously proposed dropping algorithm are found analytically to avoid repeating a large number of simulations to find the optimal threshold. These thresholds allow us to improve conjugate beamforming (CB) and zero-forcing (ZF) sum-rates with max-min power control. By using the proposed threshold values, the CB and ZF sum-rates are maximized, when there are only two correlated users. In addition, by using the derived thresholds, a modified dropping algorithm is proposed for channels with any number of correlated users. The results of the simulation scenarios show that at signal to noise ratio of 20 dB and 120 antennas at the base station, the modified algorithm improves the average CB and ZF sum-rates up to 36{\%} and 5{\%}, respectively.",
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An improved dropping algorithm for line-of-sight massive MIMO with max-min power control. / Farsaei, Amirashkan (Corresponding author); Alvarado, Alex ; Willems, Frans; Gustavsson, Ulf.

In: IEEE Communications Letters, Vol. 23, No. 6, 2019, p. 1109-1112.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - An improved dropping algorithm for line-of-sight massive MIMO with max-min power control

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AU - Gustavsson,Ulf

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N2 - In line-of-sight massive MIMO, there is a nonnegligible probability that two users become highly correlated, which leads to a reduction in the achievable sum-rates of linear precoders. In this paper, threshold values of a previously proposed dropping algorithm are found analytically to avoid repeating a large number of simulations to find the optimal threshold. These thresholds allow us to improve conjugate beamforming (CB) and zero-forcing (ZF) sum-rates with max-min power control. By using the proposed threshold values, the CB and ZF sum-rates are maximized, when there are only two correlated users. In addition, by using the derived thresholds, a modified dropping algorithm is proposed for channels with any number of correlated users. The results of the simulation scenarios show that at signal to noise ratio of 20 dB and 120 antennas at the base station, the modified algorithm improves the average CB and ZF sum-rates up to 36% and 5%, respectively.

AB - In line-of-sight massive MIMO, there is a nonnegligible probability that two users become highly correlated, which leads to a reduction in the achievable sum-rates of linear precoders. In this paper, threshold values of a previously proposed dropping algorithm are found analytically to avoid repeating a large number of simulations to find the optimal threshold. These thresholds allow us to improve conjugate beamforming (CB) and zero-forcing (ZF) sum-rates with max-min power control. By using the proposed threshold values, the CB and ZF sum-rates are maximized, when there are only two correlated users. In addition, by using the derived thresholds, a modified dropping algorithm is proposed for channels with any number of correlated users. The results of the simulation scenarios show that at signal to noise ratio of 20 dB and 120 antennas at the base station, the modified algorithm improves the average CB and ZF sum-rates up to 36% and 5%, respectively.

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