| Primary user emulation and jamming attack detection in cognitive radio via sparse coding HM Furqan, MA Aygül, M Nazzal, H Arslan EURASIP Journal on Wireless Communications and Networking 2020 (1), 141, 2020 | 36 | 2020 |
| Spectrum occupancy prediction exploiting time and frequency correlations through 2D-LSTM MA Aygül, M Nazzal, AR Ekti, A Görçin, DB Da Costa, HF Ateş, H Arslan 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), 1-5, 2020 | 26 | 2020 |
| Deep learning-based optimal RIS interaction exploiting previously sampled channel correlations MA Aygül, M Nazzal, H Arslan 2021 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2021 | 22 | 2021 |
| Efficient spectrum occupancy prediction exploiting multidimensional correlations through composite 2D-LSTM models MA Aygül, M Nazzal, Mİ Sağlam, DB da Costa, HF Ateş, H Arslan Sensors 21 (1), 135, 2020 | 22 | 2020 |
| Blind Signal Analysis—Wireless Communication Signals MA Aygul, A Naeem, H Arslan located at https://doi. org/10.1002/9781119764441. ch12 (Year: 2021), 0 | 21 | |
| Dictionary learning-based beamspace channel estimation in millimeter-wave massive MIMO systems with a lens antenna array M Nazzal, MA Aygül, A Görçin, H Arslan 2019 15th International Wireless Communications & Mobile Computing …, 2019 | 13 | 2019 |
| Learning-Based Spectrum Occupancy Prediction Exploiting Multi-Dimensional Correlation MA Aygül, M Nazzal, H Arslan US Patent App. 18/249,789, 2023 | 10 | 2023 |
| Deep learning-assisted detection of PUE and jamming attacks in cognitive radio systems MA Aygül, HM Furqan, M Nazzal, H Arslan 2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall), 1-5, 2020 | 9 | 2020 |
| Signal relation-based physical layer authentication MA Aygül, S Büyükçorak, DB da Costa, HF Ateş, H Arslan ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-6, 2020 | 7 | 2020 |
| Joint estimation of multiple RF impairments using deep multi-task learning MA Aygül, E Memişoğlu, H Arslan 2022 IEEE Wireless Communications and Networking Conference (WCNC), 2393-2398, 2022 | 5 | 2022 |
| Deep RL-based spectrum occupancy prediction exploiting time and frequency correlations MA Aygül, M Nazzal, H Arslan 2022 IEEE Wireless Communications and Networking Conference (WCNC), 2399-2404, 2022 | 4 | 2022 |
| Channel modeling for 5G and beyond M Nazzal, MA Aygül, HA Arslan | 4 | 2020 |
| Centralized and decentralized ml-enabled integrated terrestrial and non-terrestrial networks MA Aygül, H Türkmen, Mİ Sağlam, HA Çirpan, H Arslan 2023 IEEE Future Networks World Forum (FNWF), 1-6, 2023 | 3 | 2023 |
| Estimation and exploitation¨ of multidimensional sparsity for MIMO-OFDM channel estimation M Nazzal, MA Aygül, H Arslan 2022 IEEE Wireless Communications and Networking Conference (WCNC), 980-985, 2022 | 3 | 2022 |
| Estimating sparsity level for enabling compressive sensing of wireless channels and spectra in 5G and beyond M Nazzal, MA Aygul, H Arslan arXiv preprint arXiv:2012.10082, 2020 | 3 | 2020 |
| Blind signal analysis MA Aygül, A Naeem, H Arslan Wireless Communication Signals: A Laboratory-based Approach, 355-381, 2021 | 2 | 2021 |
| Sparse coding for transform domain-based sparse OFDM channel estimation M Nazzal, MA Aygül, A Görçin, H Arslan 2019 27th Signal processing and communications applications conference (SIU …, 2019 | 2 | 2019 |
| A Novel Physical Layer Secret Key Generation Method for Wireless Sensor Networks MA Aygtil, HA Cirpan, H Arslan 2024 IEEE International Black Sea Conference on Communications and …, 2024 | 1 | 2024 |
| Sparsifying dictionary learning for beamspace channel representation and estimation in millimeter-wave massive MIMO MA Aygül, M Nazzal, H Arslan IEEE Access 11, 98436-98451, 2023 | 1 | 2023 |
| Estimating multi-dimensional sparsity level for spectrum sensing MA Aygül, M Nazzal, H Arslan 2023 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2023 | 1 | 2023 |
Huseyin ArslanProfessor, Istanbul Medipol UniversityVerifisert e-postadresse på medipol.edu.tr
