most citedWalsh-domain Neural Network for Power Amplifier Behavioral Modelling and Digital Predistortion

11 citations · 15 across the 7 of their papers we have counts for

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eess.SP2026

Comparative Analysis and Behavioral Modelling of Power Amplifiers in FR3

Cel Thys, Rodney Martinez Alonso, Ali H Alsarraf +3

Power amplifier (PA) nonlinearity is a critical transmitter impairment in the upper mid-band (7 GHz to 24 GHz), designated as Frequency Range 3 (FR3) in emerging 6G standardisation…

eess.SP2026

Depthwise Separable CNN for D-MIMO Indoor Localization with Data Reduction

Georgios Mystriotis, Rodney Martinez Alonso, Achiel Colpaert +1

Indoor localization using Distributed Multiple-Input Multiple-Output (D-MIMO) and machine learning (ML) achieves sub-centimeter accuracy but faces midhaul capacity bottlenecks when…

eess.SP2026

Low Complexity Neural Network Digital Predistortion of Wideband Power Amplifiers through Feature Selection

Cel Thys, Rodney Martinez Alonso, Ali H Alsarraf +2

Due to the continuous increase in communication bandwidth and the use of highly efficient yet nonlinear power amplifiers, Digital Predistortion (DPD) algorithms are becoming increa…

eess.SP2026

Inter-Cell Interference Rejection Based on Ultrawideband Walsh-Domain Wireless Autoencoding

Rodney Martinez Alonso, Cel Thys, Cedric Dehos +2

This paper proposes a novel technique for rejecting partial-in-band inter-cell interference (ICI) in ultrawideband communication systems. We present the design of an end-to-end wir…

eess.SP2024★ 11 cited

Walsh-domain Neural Network for Power Amplifier Behavioral Modelling and Digital Predistortion

Cel Thys, Rodney Martinez Alonso, Antoine Lhomel +4

This paper investigates the use of Neural Network (NN) nonlinear modelling for Power Amplifier (PA) linearization in the Walsh-Hadamard transceiver architecture. This novel archite…