Dual-Determination of Modulation Types and Signal-to-Noise Ratios Using 2D-ASIQH Features for Next Generation of Wireless Communication Systems
Yazarlar (6)
Dr. Öğr. Üyesi Tarık ALMOHAMAD Karabük Üniversitesi, Türkiye
Mohd Fadzli Mohd Salleh
Universiti Sains Malaysia, Malezya
Mohd Nazri Mahmud
Universiti Sains Malaysia, Malezya
Prof. Dr. İsmail Rakıp KARAŞ Karabük Üniversitesi, Türkiye
Nor Shahida Mohd Shah
Universiti Tun Hussein Onn Malaysia, Malezya
Samir Ahmed Al-Gailani Universiti Sains Malaysia, Malezya
Makale Türü Açık Erişim Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı IEEE Access (Q2)
Dergi ISSN 2169-3536 Dergi Bilgileri (2021)
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili İngilizce Basım Tarihi 02-2021
Cilt / Sayı / Sayfa 9 / 1 / 25843–25857 DOI 10.1109/ACCESS.2021.3057242
Makale Linki http://dx.doi.org/10.1109/access.2021.3057242
UAK Araştırma Alanları
Uzaktan Algılama
Özet
In order to pursue rapid development of the new generation of wireless communication systems and elevate their security and efficiency, this paper proposes a novel scheme for automatic dual determination of modulation types and signal to noise ratios (SNR) for next generations of wireless communication systems, fifth-generation (5G) and beyond. The proposed scheme adopts unique signatures depicted in two-dimensional asynchronously sampled in-phase-quadrature amplitudes' histograms (2D-ASIQHs)-based images and applies the support vector machines (SVMs) tool. Along with the estimation of the instantaneous SNR values over 0-35 dB range, the determination of nine modulation types that belong to different modulation categories i.e., phase-shift keying (Binary-PSK, Quadrature-PSK, and 8-PSK), amplitude-shift keying (2-ASK and 4-ASK) and quadrature-amplitude modulation (4-QAM, 16-QAM, 32 …
Anahtar Kelimeler
5G communication system | Feature-based approach | Modulation recognition | SNR estimation | Support vector machine