1 citations · 1 across the 4 of their papers we have counts for
10 papers
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…
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)…