activity
20242026
most citedIntegrated Sensing and Communications for Unsourced Random Access: Fundamental Limits

14 citations · 14 across the 8 of their papers we have counts for

collaborators

10 papers

cs.LG2026

Short-Length Code Designs for Integrated Sensing and Communications: A Deep Learning Approach

Muah Kim, Shuangyang Li, Tayyebeh Jahani-Nezhad +2

Integrated sensing and communication (ISAC) enables joint communication and sensing using a shared waveform, but its signal design is challenging due to the inherent trade-off betw…

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.…

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…

cs.IT2025

Efficient Feedback Design for Unsourced Random Access with Integrated Sensing and Communication

Mohammad Javad Ahmadi, Mohammad Kazemi, Rafael F. Schaefer

We consider an unsourced random access (URA) system enhanced with a feedback mechanism that serves both communication and sensing tasks. While traditional URA systems do not incorp…

eess.SP2025

Frequency Hopping Waveform Design for Secure Integrated Sensing and Communications

Ali Khandan Boroujeni, Giuseppe Thadeu Freitas de Abreu, Stefan Köpsell +3

We introduce a comprehensive approach to enhance the security, privacy, and sensing capabilities of integrated sensing and communications (ISAC) systems by leveraging random freque…

cs.IT2025

MinGRU-Based Encoder for Turbo Autoencoder Frameworks

Rick Fritschek, Rafael F. Schaefer

Early neural channel coding approaches leveraged dense neural networks with one-hot encodings to design adaptive encoder-decoder pairs, improving block error rate (BLER) and automa…

cs.IT2024★ 14 cited

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…