ORCID "0000-0002-1797-8238" Electrical and Electronics Engineering için listeleme
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Blind signal analysis
Aygül, Mehmet Ali; Naeem, Ahmed; Arslan, Hüseyin (Wiley, 2021)Blind signal analysis (BSA) plays an essential role in wireless communication when the receiver does not know most or all of the received signal parameters. This chapter provides an in-depth understanding of BSA with ... -
Channel modeling for 5G and beyond
Nazzal, Mahmoud; Aygül, Mehmet Ali; Arslan, Hüseyin (Institution of Engineering and Technology, 2020)The wide variety in enabling technologies, operating scenarios, environments, and use cases required for the fifth generation (5G) communication system and beyond 5G (B5G) entails the availability of descriptive channel ... -
Deep learning-assisted detection of PUE and jamming attacks in cognitive radio systems
Aygül, Mehmet Ali; Furqan, Haji Muhammad; Nazzal, Mahmoud; Arslan, Hüseyin (Institute of Electrical and Electronics Engineers Inc., 2020)Cognitive radio (CR)-based internet of things systems can be considered as an efficient solution for futuristic smart technologies. However, CRs are naturally vulnerable to two major security threats; primary user emulation ... -
Deep learning-based optimal ris interaction exploiting previously sampled channel correlations
Aygül, Mehmet Ali; Nazzal, Mahmoud; Arslan, Hüseyin (IEEE - Institute of Electrical and Electronics Engineers, Inc, 2021)The reconfigurable intelligent surface (RIS) technology has attracted interest due to its promising coverage and spectral efficiency features. However, some challenges need to be addressed to realize this technology in ... -
Efficient spectrum occupancy prediction exploiting multidimensional correlations through composite 2D-LSTM models
Aygül, Mehmet Ali; Nazzal, Mahmoud; Sağlam, Mehmet İzzet; da Costa, Daniel Benevides; Ateş, Hasan Fehmi; Arslan, Hüseyin (MDPI, 2021)In cognitive radio systems, identifying spectrum opportunities is fundamental to efficiently use the spectrum. Spectrum occupancy prediction is a convenient way of revealing opportunities based on previous occupancies. ... -
Sparse coding with enhanced atom selection for FDD massive MIMO channel estimation
Nazzal, Mahmoud; Aygül, Mehmet Ali; Arslan, Hüseyin (Institute of Electrical and Electronics Engineers Inc., 2021)In sparse coding-based channel estimation, atom selection is based on jointly minimizing the sparsity and the error of the representation of the noisy measurement. However, this selection is not necessarily optimal in terms ...