39 citations · 42 across the 10 of their papers we have counts for
12 papers
Unified Evaluation Methodology for AI-Native Integrated Sensing and Communication
Filip Lemic, Andra Blaga, Francesco Devoti +24
Integrated Sensing and Communication (ISAC) couples radio sensing, data transmission, and control actions within a single closed-loop system. When Artificial Intelligence (AI)-driv…
RL-Aided Cognitive ISAC: Robust Detection and Sensing-Communication Trade-offs
Adam Umra, Aya M. Ahmed, Aydin Sezgin
This paper proposes a reinforcement learning (RL)-aided cognitive framework for massive MIMO-based integrated sensing and communication (ISAC) systems employing a uniform planar ar…
Hardware-Efficient Cognitive Radar: Multi-Target Detection with RL-Driven Transmissive RIS
Adam Umra, Aya Mostafa Ahmed, Stefan Roth +1
Cognitive radar has emerged as a key paradigm for next-generation sensing, enabling adaptive, intelligent operation in dynamic and complex environments. Yet, conventional cognitive…
Towards Smarter Sensing: 2D Clutter Mitigation in RL-Driven Cognitive MIMO Radar
Adam Umra, Aya Mostafa Ahmed, Aydin Sezgin
Motivated by the growing interest in integrated sensing and communication for 6th generation (6G) networks, this paper presents a cognitive Multiple-Input Multiple-Output (MIMO) ra…
RIS-Aided Bistatic Radar for Rapid NLOS Sensing in the Teraharetz Band
Furkan H. Ilgac, Emrah Cisija, Aya Mostafa Ahmed +3
In this paper, we investigate a non-lineof-sight (NLOS) sensing problem at terahertz frequencies. To be able to observe the targets shadowed by a blockage, we propose a method usin…
Resilient Sparse Array Radar with the Aid of Deep Learning
Aya Mostafa Ahmed, Udaya S. K. P. Miriya Thanthrige, Aydin Sezgin +1
In this paper, we address the problem of direction of arrival (DOA) estimation for multiple targets in the presence of sensor failures in a sparse array. Generally, sparse arrays a…
Deep Learning for DOA Estimation in MIMO Radar Systems via Emulation of Large Antenna Arrays
Aya Mostafa Ahmed, Udaya Sampath K. P. Miriya Thanthrige, Aly El Gamal +1
We present a MUSIC-based Direction of Arrival (DOA) estimation strategy using small antenna arrays, via employing deep learning for reconstructing the signals of a virtual large an…
Beam Divergence Reduction of Vortex Waves with a Tailored Lens and a Tailored Reflector
M. Haj Hassan, B. Sievert, J. T. Svejda +6
In this paper, we present a tailored lens and a tailored reflector in order to reduce the large beam divergence inherent to Orbital Angular Momentum waves (OAM waves-Vortex waves)…
Deep Autoencoders for DOA Estimation of Coherent Sources using Imperfect Antenna Array
Aya Mostafa Ahmed, Omar Eissa, Aydin Sezgin
In this paper a robust algorithm for DOA estimation of coherent sources in presence of antenna array imperfections is presented. We exploit the current advances of deep learning to…
A Reinforcement Learning based approach for Multi-target Detection in Massive MIMO radar
Aya Mostafa Ahmed, Alaa Alameer Ahmad, Stefano Fortunati +3
This paper considers the problem of multi-target detection for massive multiple input multiple output (MMIMO) cognitive radar (CR). The concept of CR is based on the perception-act…
Impact of Spatial Correlation in MIMO Radar
Aya Mostafa Ahmed, Aydin Sezgin, Eduard A. Jorswieck
The impact of spatial correlation on mutual information (MI) is analyzed for MIMO radar. Unlike the work done in literature for statistical MIMO radar, we consider the spatial corr…
Supervised Learning Based Super-Resolution DoA Estimation Utilizing Antenna Array Extrapolation
Udaya Sampath K. P. Miriya Thanthrige, Aya Mostafa Ahmed, Aydin Sezgin
In this paper, we introduce a novel algorithm that can dramatically reduce the number of antenna elements needed to accurately predict the direction of arrival (DOA) for multiple i…