Sparse Linear Precoders For Mitigating Nonlinearities In Massive MIMO

Dealing with nonlinear effects of the radio-frequency (RF) chain is a key issue in the realization of very large-scale multi-antenna (MIMO) systems. Achieving the remarkable gains possible with massive MIMO requires that the signal processing algorithms systematically take into account these effects...

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Vydáno v:IEEE Statistical Signal Processing Workshop s. 391 - 395
Hlavní autoři: Mezghani, Amine, Plabst, Daniel, Swindlehurst, Lee A., Fijalkow, Inbar, Nossek, Josef A.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 11.07.2021
Témata:
Complexity theory
Massive MIMO
Peak to average power ratio
Phase shift keying
Precoding
Radio frequency
Signal processing algorithms
ISSN:2693-3551
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Abstract Dealing with nonlinear effects of the radio-frequency (RF) chain is a key issue in the realization of very large-scale multi-antenna (MIMO) systems. Achieving the remarkable gains possible with massive MIMO requires that the signal processing algorithms systematically take into account these effects. Here, we present a computationally-efficient linear precoding method satisfying the requirements for low peak-to-average power ratio (PAPR) and low-resolution D/Aconverters (DACs). The method is based on a sparse regularization of the precoding matrix and offers advantages in terms of precoded signal PAPR as well as processing complexity. Through simulation, we find that the method substantially improves conventional linear precoders.
AbstractList Dealing with nonlinear effects of the radio-frequency (RF) chain is a key issue in the realization of very large-scale multi-antenna (MIMO) systems. Achieving the remarkable gains possible with massive MIMO requires that the signal processing algorithms systematically take into account these effects. Here, we present a computationally-efficient linear precoding method satisfying the requirements for low peak-to-average power ratio (PAPR) and low-resolution D/Aconverters (DACs). The method is based on a sparse regularization of the precoding matrix and offers advantages in terms of precoded signal PAPR as well as processing complexity. Through simulation, we find that the method substantially improves conventional linear precoders.
Author Plabst, Daniel
Swindlehurst, Lee A.
Mezghani, Amine
Fijalkow, Inbar
Nossek, Josef A.
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  givenname: Josef A.
  surname: Nossek
  fullname: Nossek, Josef A.
  organization: Technische Universität München,Germany
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Snippet Dealing with nonlinear effects of the radio-frequency (RF) chain is a key issue in the realization of very large-scale multi-antenna (MIMO) systems. Achieving...
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SubjectTerms Complexity theory
Massive MIMO
Peak to average power ratio
Phase shift keying
Precoding
Radio frequency
Signal processing algorithms
Title Sparse Linear Precoders For Mitigating Nonlinearities In Massive MIMO
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