76 citations · 77 across the 2 of their papers we have counts for
9 papers
HybridDeepRx: Deep Learning Receiver for High-EVM Signals
Jaakko Pihlajasalo, Dani Korpi, Mikko Honkala +6
In this paper, we propose a machine learning (ML) based physical layer receiver solution for demodulating OFDM signals that are subject to a high level of nonlinear distortion. Spe…
Piecewise Digital Predistortion fo mmWave Active Antenna Arrays: Algorithms and Measurements
Alberto Brihuega, Mahmoud Abdelaziz, Lauri Anttila +4
In this paper, we describe a novel framework for digital predistortion (DPD) based linearization of strongly nonlinear millimeter-wave active antenna arrays. Specifically, we formu…
On Antenna Array Out-of-Band Emissions
Lauri Anttila, Alberto Brihuega, Mikko Valkama
We substantiate and extend recent research on the behavior of the out-of-band emissions in antenna array transmitters. Specifically, with multi-user precoding, we show that the emi…
Linearizing Active Antenna Arrays: Method and Measurements
Alberto Brihuega, Mahmoud Abdelaziz, Matias Turunen +3
In this paper, we provide a novel framework for efficient digital predistortion (DPD) based linearization of active antenna arrays with multiple and mutually different nonlinear po…
Gradient-Adaptive Spline-Interpolated LUT Methods for Low-Complexity Digital Predistortion
Pablo Pascual Campo, Alberto Brihuega, Lauri Anttila +4
In this paper, new digital predistortion (DPD) solutions for power amplifier (PA) linearization are proposed, with particular emphasis on reduced processing complexity in future 5G…
Digital Predistortion for Multiuser Hybrid MIMO at mmWaves
Alberto Brihuega, Lauri Anttila, Mahmoud Abdelaziz +2
Efficient mitigation of power amplifier (PA) nonlinear distortion in multi-user hybrid precoding based broadband mmWave systems is an open research problem. In this article, we fir…