Author

Y. Medjahdi

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Preprint Sep 2026

Impact of PA Nonlinearities on AFDM Sensing: A Matched Filtering Perspective

Affine Frequency Division Multiplexing (AFDM) is a promising waveform for integrated sensing and communications (ISAC) due to its Doppler resilience. However, such waveforms exhibit a high peak-to-average power ratio (PAPR), and they require highly linear Power Amplifiers (PAs), which conflicts with ISAC requirements,...

Eya Gourar, Y. Medjahdi, L. Clavier et al. · 1 citation

Preprint Aug 2026

Distortion-Aware Integrated Sensing and Communication with Affine Filter Bank Modulation

The stringent energy-efficiency requirements of future Integrated Sensing and Communications (ISAC) systems are fundamentally challenged. Unlike conventional communication systems, ISAC transmitters must radiate significantly higher power to ensure reliable target detection, forcing the High-Power Amplifier (HPA) to op...

Eya Gourar, Henrique L. Senger, Gustavo P. Gonçalves et al. · 0 citations

#explainable ai Preprint Sep 2026

X-RACE: XAI-assisted Recurrent neural network Attribution for Channel Estimation

The XAI-assisted Recurrent neural network Attribution for Channel Estimation (X-RACE) framework is proposed, and novel temporal XAI metrics: Saturation Time, Importance Drift, and Relevance Contrast are proposed to characterize the LSTM's learning dynamics and memory convergence.

Abdul Karim Gizzini, Y. Medjahdi · 0 citations