5 papers
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…
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…
LITE: Lightweight Channel Gain Estimation with Reduced X-Haul CSI Signaling in O-RAN
David Goez, Marco Piazzola, Giulia Costa +6
Cell-Free Massive Multiple-Input Multiple-Output (CF-MaMIMO) in Open Radio Access Network (O-RAN) promises high spectral efficiency but is limited by frequent Channel State Informa…
Efficient Channel Autoencoders for Wideband Communications leveraging Walsh-Hadamard interleaving
Cel Thys, Rodney Martinez Alonso, Sofie Pollin
This paper investigates how end-to-end (E2E) channel autoencoders (AEs) can achieve energy-efficient wideband communications by leveraging Walsh-Hadamard (WH) interleaved converter…
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…