activity
20102026
most citedA New Model for Interference Analysis in Asynchronous Multi-Carrier Transmission

5 citations · 7 across the 12 of their papers we have counts for

collaborators

14 papers

eess.SP2026

Improper Signaling for Clutter-Limited Angle Estimation in ISAC

Victor Augusto Del Monego, Poliana Basso, Murilo Capponi +4

Integrated sensing and communication (ISAC) transmit designs typically optimize the transmit covariance under proper signaling, leaving the potential sensing benefits of pseudo-cov…

eess.SP2026

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

Eya Gourar, Yahia Medjahdi, Laurent Clavier +2

Affine Frequency Division Multiplexing (AFDM) is a promising waveform for integrated sensing and communications (ISAC) due to its Doppler resilience. However, such waveforms exhibi…

eess.SP2026

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

Abdul Karim Gizzini, Yahia Medjahdi

Deep learning models, notably Long Short-Term Memory (LSTM), have demonstrated promising performance in channel estimation for high-mobility vehicular environments. However, their…

eess.SP2026

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

Eya Gourar, Henrique L. Senger, Gustavo P. Gonçalves +6

The stringent energy-efficiency requirements of future Integrated Sensing and Communications (ISAC) systems are fundamentally challenged. Unlike conventional communication systems,…

eess.SP2026

Low-Complexity Sensing-Aware PAPR Reduction for AFDM-based ISAC Systems

Eya Gourar, Abdul Karim Gizzini, Yahia Medjahdi +2

Integrated sensing and communication (ISAC) has emerged as a key technology for future wireless networks by enabling communication and environmental sensing through a common wavefo…

eess.SP2026

Phase Uniformity Detector for GRSMReceivers in mmWave and Sub-THz Bands

Oshin Daoud, Haifa Fares, Yahia Medjahdi +2

This paper introduces a phase-domain statistical detector, the Phase Uniformity Detector (PUD), for binary hypothesis testing in Generalized Receive Spatial Modulation (GRSM) syste…

eess.SP2026

On the Robustness of AFBM Sensing to Power Amplifier Nonlinearities

Eya Gourar, Henrique L. Senger, Gustavo P. Gonçalves +6

We investigate the impact of power amplifier (PA) nonlinearities on the sensing performance of affine filter bank modulation (AFBM). While AFBM offers several advantageous properti…

cs.LG2026

Steering Code LLMs with Activation Directions for Language and Library Control

Md Mahbubur Rahman, Arjun Guha, Harshitha Menon

Code LLMs often default to particular programming languages and libraries under neutral prompts. We investigate whether these preferences are encoded as approximately linear direct…

eess.SP2026

Exploiting Spatial Modulation for Strong PhaseNoise Mitigation in mmWave Massive MIMO

Oshin Daoud, Haifa Fares, Amor Nafkha +2

This letter investigates phase noise (PN) mitigation in generalized receiver spatial modulation (GRSM) massive MIMO systems at mmWave under a common local oscillator (CLO). Under C…

cs.LG2026

X-REFINE: XAI-based RElevance input-Filtering and archItecture fiNe-tuning for channel Estimation

Abdul Karim Gizzini, Yahia Medjahdi

AI-native architectures are vital for 6G wireless communications. The black-box nature and high complexity of deep learning models employed in critical applications, such as channe…

eess.SP2025

On the Ambiguity Function of OFDM-based ISAC Signals Under Non-Ideal Power Amplifiers

Eya Gourar, Yahia Medjahdi, Laurent Clavier +2

Integrated Sensing and Communications (ISAC) has garnered significant attention as a promising technology for next-generation wireless and vehicular communications. Among candidate…

cs.AI2024★ 1 cited

Explainable AI for Enhancing Efficiency of DL-based Channel Estimation

Abdul Karim Gizzini, Yahia Medjahdi, Ali J. Ghandour +1

The support of artificial intelligence (AI) based decision-making is a key element in future 6G networks, where the concept of native AI will be introduced. Moreover, AI is widely…

cs.AI2023★ 1 cited

Towards Explainable AI for Channel Estimation in Wireless Communications

Abdul Karim Gizzini, Yahia Medjahdi, Ali J. Ghandour +1

Research into 6G networks has been initiated to support a variety of critical artificial intelligence (AI) assisted applications such as autonomous driving. In such applications, A…

cs.NI2010★ 5 cited

A New Model for Interference Analysis in Asynchronous Multi-Carrier Transmission

Yahia Medjahdi, Michel Terré, Didier Le Ruyet +1

Interference at the radio receiver is a key source of degradation in quality of service of wireless communication systems. This paper presents a unified framework for OFDM/FBMC int…