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 (IWCMC, 2019)

Sparse Coding for Transform Domain-Based Sparse OFDM Channel Estimation. - Mahmoud Nazzal; Mehmet Ali Aygül; Ali Görçin; Hüseyin Arslan (SIU, 2019)

Signal Relation-Based Physical Layer Authentication. - Mehmet Ali Aygül; Saliha Büyükçorak; Daniel Benevides da Costa; Hasan Fehmi Ates; Hüseyin Arslan (ICC, 2020)

Deep Learning-Assisted Detection of PUE and Jamming Attacks in Cognitive Radio Systems. - Mehmet Ali Aygül; Haji M. Furqan; Mahmoud Nazzal; Hüseyin Arslan (VTC Fall, 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 (VTC Spring, 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)

Sparse Coding with Enhanced Atom Selection for FDD Massive MIMO Channel Estimation. - Mahmoud Nazzal; Mehmet Ali Aygül; Hüseyin Arslan (VTC Fall, 2021)

Deep Learning-Based Optimal RIS Interaction Exploiting Previously Sampled Channel Correlations. - Mehmet Ali Aygül; Mahmoud Nazzal; Hüseyin Arslan (WCNC, 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)

Identification of Distorted RF Components via Deep Multi-Task Learning. - Mehmet Ali Aygül; Ebubekir Memisoglu; Hakan Ali Çirpan; Hüseyin Arslan (VTC Fall, 2022)

Joint Estimation of Multiple RF Impairments Using Deep Multi-Task Learning. - Mehmet Ali Aygül; Ebubekir Memisoglu; Hüseyin Arslan (WCNC, 2022)

Deep RL-Based Spectrum Occupancy Prediction Exploiting Time and Frequency Correlations. - Mehmet Ali Aygül; Mahmoud Nazzal; Hüseyin Arslan (WCNC, 2022)

Estimation and Exploitation of Multidimensional Sparsity for MIMO-OFDM Channel Estimation. - Mahmoud Nazzal; Mehmet Ali Aygül; Hüseyin Arslan (WCNC, 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)

Estimating Multi-Dimensional Sparsity Level for Spectrum Sensing. - Mehmet Ali Aygül; Mahmoud Nazzal; Hüseyin Arslan (WCNC, 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)

Machine learning-driven integration of terrestrial and non-terrestrial networks for enhanced 6G connectivity. - Mehmet Ali Aygül; Halise Türkmen; Hakan A. Çirpan; Huseyin Arslan (Comput. Networks, 2024)

Machine learning-based spectrum occupancy prediction: a comprehensive survey. - Mehmet Ali Aygül; Hakan Ali Çirpan; Hüseyin Arslan (Frontiers Commun. Networks, 2025)

FDD Secret Key Generation: Identifying Vulnerabilities and a Novel Defensive Method. - Mehmet Ali Aygül; Haji M. Furqan; Hakan Ali Çirpan; Hüseyin Arslan (IEEE Wirel. Commun. Lett., 2025)