5 papers
Efficient DCT-Based Estimation and Compensation of Nonlinear Channels for OFDM Systems
Marc Martinez-Gost, Ana Pérez-Neira, Miguel Ángel Lagunas
This paper proposes a maximum-likelihood (ML) framework for estimating nonlinear frequency-selective channels in orthogonal frequency-division multiplexing (OFDM) communication sys…
The DCT Neuron for Estimation and Compensation of Amplitude Distortions in OFDM Systems
Marc Martinez-Gost, Ana Pérez-Neira, Miguel Ángel Lagunas
We present a receiver-side framework for identifying amplitude distortions in frequency-selective OFDM channels. The core novelty is the use of the DCT Neuron, a compact adaptive p…
Pragmatic Earth-Fixed Beam Management for 3GPP NTN Common Signaling in LEO Satellites
Xavier Artiga, Màrius Caus, Ana Pérez-Neira
This work proposes a pragmatic method for the design of beam footprint layouts and beam hopping illumination patterns to efficiently broadcast 3GPP NTN common signaling to large co…
Efficient Neural Networks with Discrete Cosine Transform Activations
Marc Martinez-Gost, Sara Pepe, Ana Pérez-Neira +1
In this paper, we extend our previous work on the Expressive Neural Network (ENN), a multilayer perceptron with adaptive activation functions parametrized using the Discrete Cosine…
Before AI Takes Over: Rethinking Nonlinear Signal Processing in Communications
Ana Pérez-Neira, Marc Martinez-Gost, Miguel Ángel Lagunas
There is an urgent reflection on traditional nonlinear signal processing methods in communications before Artificial Intelligence (AI) dominates the field. It implies a need to rea…