10 papers
Generative Large-Array Emulation for DOA Estimation in MIMO Radar via Conditional Diffusion
Adam Umra, Aya Mostafa Ahmed, Aydin Sezgin
Accurate direction-of-arrival (DOA) estimation from a small multiple-input multiple-output (MIMO) radar array is limited by its aperture, while adding antennas increases hardware c…
Self-Supervised Noise2Noise-Enhanced Denoising for Continuous-Scan Air-Plasma THz Spectroscopy
Adam Umra, Oways Alsoloh, Oliver Nagy +2
Terahertz time-domain spectroscopy (THz-TDS) based on air-plasma generation and balanced air-biased coherent detection offers gap-free broadband coverage, but individual continuous…
Design and Practical Validation of a Novel Modulation Scheme for RIS Detection and Identification
Aymen Khaleel, Adam Umra, Aydin Sezgin
The reconfigurable intelligent surfaces detection and identification (RISs-ID) is a critical process that enables a base station (BS) to adaptively assign the appropriate RIS to a…
Measurement-Based Validation of Geometry-Driven RIS Beam Steering in Industrial Environments
Adam Umra, Simon Tewes, Niklas Beckmann +3
Reconfigurable intelligent surfaces (RISs) offer programmable control of radio propagation for future wireless systems. For configuration, geometry-driven analytical approaches are…
Short Blocks, Fast Sensing: Finite Blocklength Tradeoffs in RIS-Assisted ISAC
Adam Umra, Kevin Weinberger, Aymen Khaleel +2
Integrated sensing and communication (ISAC) is a cornerstone for future sixth-generation (6G) networks, enabling simultaneous connectivity and environmental awareness. However, pra…
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…
Robust Communication Design in RIS-Assisted THz Channels
Yasemin Karacora, Adam Umra, Aydin Sezgin
Terahertz (THz) communication offers the necessary bandwidth to meet the high data rate demands of next-generation wireless systems. However, it faces significant challenges, inclu…
Intermittency versus Path Loss in RIS-aided THz Communication: A Data Significance Approach
Yasemin Karacora, Adam Umra, Aydin Sezgin
The transition to Terahertz (THz) frequencies, providing an ultra-wide bandwidth, is a key driver for future wireless communication networks. However, the specific properties of th…