| Makale Türü |
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| 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
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| 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 |
| Atıf Sayıları | |
| Web of Science | 14 |
| Scopus | 20 |
| Google Scholar | 26 |
| Dergi Adı | IEEE Access |
| Kısa Adı | IEEE ACCESS |
| Yayıncı | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| Açık Erişim | Evet |
| ISSN | 2169-3536 |
| E-ISSN | 2169-3536 |
| Wos Quartile | Q2 |
| Scopus Quartile | Q1 |
| Tarandığı Indeksler | SCIE , Scopus |
| WoS Kategoriler | COMPUTER SCIENCE, INFORMATION SYSTEMS | ENGINEERING, ELECTRICAL & ELECTRONIC | TELECOMMUNICATIONS |
| Scopus Kategoriler | COMPUTER SCIENCE (MISCELLANEOUS) | ENGINEERING (MISCELLANEOUS) | MATERIALS SCIENCE (MISCELLANEOUS) |