A novel reduced-complexity digital predistortion (DPD) solution is presented in this paper. The proposed DPD can suppress the unwanted distortions due to power amplifier (PA) nonlinearity and I/Q modulator impairments in direct conversion transmitters using reduced-bandwidth filtered basis functions. Moreover, the DPD parameter estimation is based on very simple decorrelation based closed-loop processing and reduced-bandwidth observation, thus further reducing the overall complexity. The proposed DPD can be used in large array or massive MIMO systems with large number of radio transceivers and PAs, where reducing the complexity of the DPD processing is very critical.Peer reviewe
Linearization of massive MIMO arrays is a significant computational challenge that typically scales ...
In this article, a novel digital predistortion (DPD) solution for fully digital multiple-input–multi...
Linearization of massive MIMO arrays is a significant computational challenge that typically scales ...
In this article, we propose a novel digital predistortion (DPD) solution that allows to considerably...
Massive multi-input and multi-output (MIMO) systems request wideband power amplifiers (PA) for multi...
To cope with the ever-increasing demand for higher data rates, reduced latency, and improved coverag...
Due to the closely-spaced antenna elements in largearray or massive MIMO transmitters, antenna cross...
This article investigates digital predistortion (DPD) linearization of hybrid beamforming large-scal...
This article investigates digital predistortion (DPD) linearization of hybrid beamforming large-scal...
International audienceDigital predistortion (DPD) is one of the most promising techniques for the li...
International audienceDigital predistortion (DPD) is one of the most promising techniques for the li...
Linearization of massive MIMO arrays is a significant computational challenge that typically scales ...
In this article, a novel digital predistortion (DPD) solution for fully digital multiple-input–multi...
Linearization of massive MIMO arrays is a significant computational challenge that typically scales ...
Linearization of massive MIMO arrays is a significant computational challenge that typically scales ...
Linearization of massive MIMO arrays is a significant computational challenge that typically scales ...
In this article, a novel digital predistortion (DPD) solution for fully digital multiple-input–multi...
Linearization of massive MIMO arrays is a significant computational challenge that typically scales ...
In this article, we propose a novel digital predistortion (DPD) solution that allows to considerably...
Massive multi-input and multi-output (MIMO) systems request wideband power amplifiers (PA) for multi...
To cope with the ever-increasing demand for higher data rates, reduced latency, and improved coverag...
Due to the closely-spaced antenna elements in largearray or massive MIMO transmitters, antenna cross...
This article investigates digital predistortion (DPD) linearization of hybrid beamforming large-scal...
This article investigates digital predistortion (DPD) linearization of hybrid beamforming large-scal...
International audienceDigital predistortion (DPD) is one of the most promising techniques for the li...
International audienceDigital predistortion (DPD) is one of the most promising techniques for the li...
Linearization of massive MIMO arrays is a significant computational challenge that typically scales ...
In this article, a novel digital predistortion (DPD) solution for fully digital multiple-input–multi...
Linearization of massive MIMO arrays is a significant computational challenge that typically scales ...
Linearization of massive MIMO arrays is a significant computational challenge that typically scales ...
Linearization of massive MIMO arrays is a significant computational challenge that typically scales ...
In this article, a novel digital predistortion (DPD) solution for fully digital multiple-input–multi...
Linearization of massive MIMO arrays is a significant computational challenge that typically scales ...