Mehmet Ali Aygül

According to our database, Mehmet Ali Aygül authored at least 16 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Sparsifying Dictionary Learning for Beamspace Channel Representation and Estimation in Millimeter-Wave Massive MIMO.

Mehmet Ali Aygül, Mahmoud Nazzal, Hüseyin Arslan

IEEE Access, 2023

Estimating Multi-Dimensional Sparsity Level for Spectrum Sensing.

Mehmet Ali Aygül, Mahmoud Nazzal, Hüseyin Arslan

Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

2022

Using OMP and SD algorithms together in mm-Wave mMIMO channel estimation.

Mehmet Ali Aygül, Mahmoud Nazzal, Hüseyin Arslan

Signal Image Video Process., 2022

Estimation and Exploitation of Multidimensional Sparsity for MIMO-OFDM Channel Estimation.

Mahmoud Nazzal, Mehmet Ali Aygül, Hüseyin Arslan

Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Deep RL-Based Spectrum Occupancy Prediction Exploiting Time and Frequency Correlations.

Mehmet Ali Aygül, Mahmoud Nazzal, Hüseyin Arslan

Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Joint Estimation of Multiple RF Impairments Using Deep Multi-Task Learning.

Mehmet Ali Aygül, Ebubekir Memisoglu, Hüseyin Arslan

Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Identification of Distorted RF Components via Deep Multi-Task Learning.

Mehmet Ali Aygül, Ebubekir Memisoglu, Hakan Ali Çirpan, Hüseyin Arslan

Proceedings of the 96th Vehicular Technology Conference, 2022

2021

Efficient Spectrum Occupancy Prediction Exploiting Multidimensional Correlations through Composite 2D-LSTM Models.

Mehmet Ali Aygül, Mahmoud Nazzal, Mehmet Izzet Saglam, Daniel Benevides da Costa, Hasan Fehmi Ates, Hüseyin Arslan

Sensors, 2021

Deep Learning-Based Optimal RIS Interaction Exploiting Previously Sampled Channel Correlations.

Mehmet Ali Aygül, Mahmoud Nazzal, Hüseyin Arslan

Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

Sparse Coding with Enhanced Atom Selection for FDD Massive MIMO Channel Estimation.

Mahmoud Nazzal, Mehmet Ali Aygül, Hüseyin Arslan

Proceedings of the 94th IEEE Vehicular Technology Conference, 2021

2020

Primary user emulation and jamming attack detection in cognitive radio via sparse coding.

Haji M. Furqan, Mehmet Ali Aygül, Mahmoud Nazzal, Hüseyin Arslan

EURASIP J. Wirel. Commun. Netw., 2020

Spectrum Occupancy Prediction Exploiting Time and Frequency Correlations Through 2D-LSTM.

Mehmet Ali Aygül, Mahmoud Nazzal, Ali Riza Ekti, Ali Görçin, Daniel Benevides da Costa, Hasan Fehmi Ates, Hüseyin Arslan

Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

Deep Learning-Assisted Detection of PUE and Jamming Attacks in Cognitive Radio Systems.

Mehmet Ali Aygül, Haji M. Furqan, Mahmoud Nazzal, Hüseyin Arslan

Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020

Signal Relation-Based Physical Layer Authentication.

Mehmet Ali Aygül, Saliha Büyükçorak, Daniel Benevides da Costa, Hasan Fehmi Ates, Hüseyin Arslan

Proceedings of the 2020 IEEE International Conference on Communications, 2020

2019

Sparse Coding for Transform Domain-Based Sparse OFDM Channel Estimation.

Mahmoud Nazzal, Mehmet Ali Aygül, Ali Görçin, Hüseyin Arslan

Proceedings of the 27th Signal Processing and Communications Applications Conference, 2019

Dictionary Learning-Based Beamspace Channel Estimation in Millimeter-Wave Massive MIMO Systems with a Lens Antenna Array.

Mahmoud Nazzal, Mehmet Ali Aygül, Ali Görçin, Hüseyin Arslan

Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019