collaborators

9 papers

eess.SP2026

Condition-Wise Sinkhorn Drifting for One-Shot Learned Channel Simulation

Rick Fritschek, Rafael F. Schaefer

Learned communication systems may evaluate stochastic channel surrogates millions of times inside differentiable training loops, making diffusion-style reverse sampling expensive.…

cs.IT2026

Integrated Sensing and Communications for Unsourced Random Access: Fundamental Limits

Mohammad Javad Ahmadi, Rafael F. Schaefer, H. Vincent Poor

This work considers the problem of integrated sensing and communications (ISAC) with a massive number of unsourced and uncoordinated users. In the proposed model, known as the unso…

eess.SP2025

Secrecy-Driven Beamforming for Multi-User Integrated Sensing and Communication

Ali Khandan Boroujeni, Hyeon Seok Rou, Ghazal Bagheri +4

This paper proposes a secure integrated sensing and communications (ISAC) framework for multi-user systems with multiple communication users (CUs) and adversarial targets, where th…

eess.SP2025

Adversarially Robust MIMO Physical Layer Authentication for Non-Stationary Channels

Ali Khandan Boroujeni, Ghazal Bagheri, Kuranage Roche Rayan Ranasinghe +3

We propose an adversarially robust physical layer authentication (AR-PLA) framework tailored for non-stationary multiple-input multiple-output (MIMO) wireless channels. The framewo…

eess.SP2025

A Secure ISAC Waveform Design Framework via Random Frequency and PRI Agility

Ali Khandan Boroujeni, Hyeon Seok Rou, Ghazal Bagheri +4

This paper presents a novel framework for enhancing the security, data rate, and sensing performance of integrated sensing and communications (ISAC) systems. We employ a random fre…

eess.SP2025

Fairness-Aware Secure Integrated Sensing and Communications with Fractional Programming

Ali Khandan Boroujeni, Kuranage Roche Rayan Ranasinghe, Giuseppe Thadeu Freitas de Abreu +3

We propose a novel secure integrated sensing and communications (ISAC) system designed to serve multiple communication users (CUs) and targets. To that end, we formulate an optimiz…