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 2022Show all

10 papers · 1 filter

physics.app-ph2022★ 3 cited

Machine Learning for Metasurfaces Design and Their Applications

Kumar Vijay Mishra, Ahmet M. Elbir, Amir I. Zaghloul

Metasurfaces (MTSs) are increasingly emerging as enabling technologies to meet the demands for multi-functional, small form-factor, efficient, reconfigurable, tunable, and low-cost…

eess.SP2022

Millimeter-Wave Radar Beamforming with Spatial Path Index Modulation Communications

Ahmet M. Elbir, Kumar Vijay Mishra, Abdulkadir Çelik +1

To efficiently utilize the wireless spectrum and save hardware costs, the fifth generation and beyond (B5G) wireless networks envisage integrated sensing and communications (ISAC)…

eess.SP2022★ 179 cited

Twenty-Five Years of Advances in Beamforming: From Convex and Nonconvex Optimization to Learning Techniques

Ahmet M. Elbir, Kumar Vijay Mishra, Sergiy A. Vorobyov +1

Beamforming is a signal processing technique to steer, shape, and focus an electromagnetic wave using an array of sensors toward a desired direction. It has been used in several en…

eess.SP2022★ 17 cited

A Unified Approach for Beam-Split Mitigation in Terahertz Wideband Hybrid Beamforming

Ahmet M. Elbir

The sixth generation networks envision the deployment of terahertz (THz) band as one of the key enabling property thanks to its abundant bandwidth. However, the ultra-wide bandwidt…

eess.SP2022★ 41 cited

Terahertz-Band Channel and Beam Split Estimation via Array Perturbation Model

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

For the demonstration of ultra-wideband bandwidth and pencil-beamforming, the terahertz (THz)-band has been envisioned as one of the key enabling technologies for the sixth generat…

eess.SP2022★ 32 cited

Terahertz-Band Integrated Sensing and Communications: Challenges and Opportunities

Ahmet M. Elbir, Kumar Vijay Mishra, Symeon Chatzinotas +1

The sixth generation (6G) wireless networks aim to achieve ultra-high data transmission rates, very low latency and enhanced energy-efficiency. To this end, terahertz (THz) band is…

eess.SP2022★ 1 cited

Federated Multi-Task Learning for THz Wideband Channel and DoA Estimation

Ahmet M. Elbir, Wei Shi, Kumar Vijay Mishra +1

This paper addresses two major challenges in terahertz (THz) channel estimation: the beam-split phenomenon, i.e., beam misalignment because of frequency-independent analog beamform…

eess.SP2022

Implicit Channel Learning for Machine Learning Applications in 6G Wireless Networks

Ahmet M. Elbir, Wei Shi, Kumar Vijay Mishra +2

With the deployment of the fifth generation (5G) wireless systems gathering momentum across the world, possible technologies for 6G are under active research discussions. In partic…

eess.SP2022

Federated Channel Learning for Intelligent Reflecting Surfaces With Fewer Pilot Signals

Ahmet M. Elbir, Sinem Coleri, Kumar Vijay Mishra

Channel estimation is a critical task in intelligent reflecting surface (IRS)-assisted wireless systems due to the uncertainties imposed by environment dynamics and rapid changes i…

eess.SP2022★ 94 cited

The Rise of Intelligent Reflecting Surfaces in Integrated Sensing and Communications Paradigms

Ahmet M. Elbir, Kumar Vijay Mishra, M. R. Bhavani Shankar +1

The intelligent reflecting surface (IRS) alters the behavior of wireless media and, consequently, has potential to improve the performance and reliability of wireless systems such…