32 citations · 39 across the 7 of their papers we have counts for
16 papers
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…
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…
Asymptotic Analysis of Max-Min Weighted SINR for IRS-Assisted MISO Systems with Hardware Impairments
Anastasios Papazafeiropoulos, Cunhua Pan, Ahmet Elbir +3
We focus on the realistic maximization of the uplink minimum signal-to-interference-plus-noise ratio (SINR) of a general multiple-input single-output (MISO) system assisted by an i…
Federated Dropout Learning for Hybrid Beamforming With Spatial Path Index Modulation In Multi-User mmWave-MIMO Systems
Ahmet M. Elbir, Sinem Coleri, Kumar Vijay Mishra
Millimeter wave multiple-input multiple-output (mmWave-MIMO) systems with small number of radio-frequency (RF) chains have limited multiplexing gain. Spatial path index modulation…
Federated Learning for Physical Layer Design
Ahmet M. Elbir, Anastasios K. Papazafeiropoulos, Symeon Chatzinotas
Model-free techniques, such as machine learning (ML), have recently attracted much interest towards the physical layer design, e.g., symbol detection, channel estimation, and beamf…
Hybrid Federated and Centralized Learning
Ahmet M. Elbir, Sinem Coleri, Kumar Vijay Mishra
Many of the machine learning (ML) tasks are focused on centralized learning (CL), which requires the transmission of local datasets from the clients to a parameter server (PS) lead…