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Mehmet Ali Aygül
Mehmet Ali Aygül
Other namesMehmet Ali Aygul
PhD Candidate at Istanbul Technical University, R&D Engineer at Vestel
Verified email at itu.edu.tr - Homepage
Title
Cited by
Cited by
Year
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
312020
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
192021
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
192020
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
152020
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
122019
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
52020
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
52020
Channel modeling for 5G and beyond
M Nazzal, MA Aygül, H Arslan
Flexible and Cognitive Radio Access Technologies for 5G and Beyond, 2020
42020
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
32022
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
32020
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
22022
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
22022
Blind signal analysis
MA Aygül, A Naeem, H Arslan
Wireless Communication Signals: A Laboratory-based Approach, 355-381, 2021
22021
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
22019
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
12023
Adaptive Frame Selection for Sensing and Joint Sensing and Communication Applications
H Türkmen, MA Aygül, H Arslan
US Patent App. 18/272,869, 2024
2024
METHOD OF ESTIMATING THE NUMBER OF CHANNEL TAPS AND CHANNEL COEFFICIENTS IN A CONCATENATED WAY
H Arslan, MA Aygül
US Patent App. 18/259,853, 2024
2024
Multiple Radio Frequency Impairment Estimation
MA Aygül, H Arslan
US Patent App. 18/251,089, 2024
2024
Learning-Based Spectrum Occupancy Prediction Exploiting Multi-Dimensional Correlation
MA Aygül, M Nazzal, H Arslan
US Patent App. 18/249,789, 2023
2023
Sparsifying dictionary learning for beamspace channel representation and estimation in millimeter-wave massive MIMO
MA Aygül, M Nazzal, H Arslan
IEEE Access, 2023
2023
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