Mehmet Ali Aygül

Orcid: 0000-0002-1797-8238

According to our database1, Mehmet Ali Aygül authored at least 17 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Machine learning-driven integration of terrestrial and non-terrestrial networks for enhanced 6G connectivity.
Comput. Networks, 2024

2023
Sparsifying Dictionary Learning for Beamspace Channel Representation and Estimation in Millimeter-Wave Massive MIMO.
IEEE Access, 2023

Estimating Multi-Dimensional Sparsity Level for Spectrum Sensing.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

2022
Using OMP and SD algorithms together in mm-Wave mMIMO channel estimation.
Signal Image Video Process., 2022

Estimation and Exploitation of Multidimensional Sparsity for MIMO-OFDM Channel Estimation.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Deep RL-Based Spectrum Occupancy Prediction Exploiting Time and Frequency Correlations.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Joint Estimation of Multiple RF Impairments Using Deep Multi-Task Learning.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Identification of Distorted RF Components via Deep Multi-Task Learning.
Proceedings of the 96th Vehicular Technology Conference, 2022

2021
Efficient Spectrum Occupancy Prediction Exploiting Multidimensional Correlations through Composite 2D-LSTM Models.
Sensors, 2021

Deep Learning-Based Optimal RIS Interaction Exploiting Previously Sampled Channel Correlations.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

Sparse Coding with Enhanced Atom Selection for FDD Massive MIMO Channel Estimation.
Proceedings of the 94th IEEE Vehicular Technology Conference, 2021

2020
Primary user emulation and jamming attack detection in cognitive radio via sparse coding.
EURASIP J. Wirel. Commun. Netw., 2020

Spectrum Occupancy Prediction Exploiting Time and Frequency Correlations Through 2D-LSTM.
Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

Deep Learning-Assisted Detection of PUE and Jamming Attacks in Cognitive Radio Systems.
Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020

Signal Relation-Based Physical Layer Authentication.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

2019
Sparse Coding for Transform Domain-Based Sparse OFDM Channel Estimation.
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.
Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019


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