21 citations · 23 across the 6 of their papers we have counts for
6 papers
Centralized and Decentralized ML-Enabled Integrated Terrestrial and Non-Terrestrial Networks
Mehmet Ali Aygul, Halise Turkmen, Mehmet Izzet Saglam +2
Non-terrestrial networks (NTNs) are a critical enabler of the persistent connectivity vision of sixth-generation networks, as they can service areas where terrestrial infrastructur…
Identification of Distorted RF Components via Deep Multi-Task Learning
Mehmet Ali Aygul, Ebubekir Memisoglu, Hakan Ali Cirpan +1
High-quality radio frequency (RF) components are imperative for efficient wireless communication. However, these components can degrade over time and need to be identified so that…
Joint Estimation of Multiple RF Impairments Using Deep Multi-Task Learning
Mehmet Ali Aygul, Ebubekir Memisoglu, Huseyin Arslan
Radio-frequency (RF) front-end forms a critical part of any radio system, defining its cost as well as communication performance. However, these components frequently exhibit non-i…
Deep Learning-Based Optimal RIS Interaction Exploiting Previously Sampled Channel Correlations
Mehmet Ali Aygul, Mahmoud Nazzal, Huseyin Arslan
The reconfigurable intelligent surface (RIS) technology has attracted interest due to its promising coverage and spectral efficiency features. However, some challenges need to be a…
Sparsifying Dictionary Learning for Beamspace Channel Representation and Estimation in Millimeter-Wave Massive MIMO
Mehmet Ali Aygul, Mahmoud Nazzal, Huseyin Arslan
Millimeter-wave (mmWave) massive multiple-input-multiple-output (mMIMO) is reported as a key enabler in the fifth-generation communication and beyond. It is customary to use a lens…
Primary User Emulation and Jamming Attack Detection in Cognitive Radio via Sparse Coding
H. M. Furqan, M. A. Aygul, M. Nazzal +1
Cognitive radio is an intelligent and adaptive radio that improves the utilization of the spectrum by its opportunistic sharing. However, it is inherently vulnerable to primary use…