activity
20182026
most citedDeepMUSIC: Multiple Signal Classification via Deep Learning

258 citations · 1.2k across the 44 of their papers we have counts for

collaborators
Showing 2023Show all

11 papers · 1 filter

cs.IT2023

Cooperative RIS and STAR-RIS assisted mMIMO Communication: Analysis and Optimization

Anastasios Papazafeiropoulos, Ahmet M. Elbir, Pandelis Kourtessis +2

Reconfigurable intelligent surface (RIS) has emerged as a cost-effective and promising solution to extend the wireless signal coverage and improve the performance via passive signa…

eess.SP2023

NEAT-MUSIC: Auto-calibration of DOA Estimation for Terahertz-Band Massive MIMO Systems

Ahmet M. Elbir, Abdulkadir Celik, Ahmed M. Eltawil

Terahertz (THz) band is envisioned for the future sixth generation wireless systems thanks to its abundant bandwidth and very narrow beamwidth. These features are one of the key en…

eess.SP2023

Spherical Wavefront Near-Field DoA Estimation in THz Automotive Radar

Ahmet M. Elbir, Kumar Vijay Mishra, Symeon Chatzinotas

Automotive radar at terahertz (THz) band has the potential to provide compact design. The availability of wide bandwidth at THz-band leads to high range resolution. Further, very n…

eess.SP2023

Near-field Hybrid Beamforming for Terahertz-band Integrated Sensing and Communications

Ahmet M. Elbir, Abdulkadir Celik, Ahmed M. Eltawil

Terahertz (THz) band communications and integrated sensing and communications (ISAC) are two main facets of the sixth generation wireless networks. In order to compensate the sever…

eess.SP2023

Terahertz-Band Direction Finding With Beam-Split and Mutual Coupling Calibration

Ahmet M. Elbir, Kumar Vijay Mishra, Symeon Chatzinotas

Terahertz (THz) band is currently envisioned as the key building block to achieving the future sixth generation (6G) wireless systems. The ultra-wide bandwidth and very narrow beam…

eess.SP2023

Sparse Array Design for Direction Finding using Deep Learning

Kumar Vijay Mishra, Ahmet M. Elbir, Koichi Ichige

In the past few years, deep learning (DL) techniques have been introduced for designing sparse arrays. These methods offer the advantages of feature engineering and low prediction-…

eess.SP2023

Antenna Selection With Beam Squint Compensation for Integrated Sensing and Communications

Ahmet M. Elbir, Asmaa Abdallah, Abdulkadir Celik +1

Next-generation wireless networks strive for higher communication rates, ultra-low latency, seamless connectivity, and high-resolution sensing capabilities. To meet these demands,…

eess.SP2023★ 28 cited

Spatial Path Index Modulation in mmWave/THz-Band Integrated Sensing and Communications

Ahmet M. Elbir, Kumar Vijay Mishra, Asmaa Abdallah +2

As the demand for wireless connectivity continues to soar, the fifth generation and beyond wireless networks are exploring new ways to efficiently utilize the wireless spectrum and…

eess.SP2023★ 1 cited

NBA-OMP: Near-field Beam-Split-Aware Orthogonal Matching Pursuit for Wideband THz Channel Estimation

Ahmet M. Elbir, Kumar Vijay Mishra, Symeon Chatzinotas

The sixth-generation networks envision the terahertz (THz) band as one of the key enabling technologies because of its ultrawide bandwidth. To combat the severe attenuation, the TH…

eess.SP2023★ 44 cited

Near-Field Terahertz Communications: Model-Based and Model-Free Channel Estimation

Ahmet M. Elbir, Wei Shi, Anastasios K. Papazafeiropoulos +2

Terahertz (THz) band is expected to be one of the key enabling technologies of the sixth generation (6G) wireless networks because of its abundant available bandwidth and very narr…

eess.SP2023★ 33 cited

BSA-OMP: Beam-Split-Aware Orthogonal Matching Pursuit for THz Channel Estimation

Ahmet M. Elbir, Symeon Chatzinotas

Terahertz (THz)-band has been envisioned for the sixth generation wireless networks thanks to its ultra-wide bandwidth and very narrow beamwidth. Nevertheless, THz-band transmissio…