Almohamad, Tarik AdnanSalleh, Mohd Fadzli MohdMahmud, Mohd NazriKaras, Ismail RakipShah, Nor Shahida MohdAl-Gailani, Samir Ahmed2024-09-292024-09-2920212169-3536https://doi.org/10.1109/ACCESS.2021.3057242https://hdl.handle.net/20.500.14619/6095In 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-QAM, and 64-QAM) could be achieved by this scheme. The application of this scheme has been simulated using a channel model that is impaired by additive white Gaussian noise (AWGN) and Rayleigh fading, covering a broad range of SNRs of 0-35 dB. The performance of this dual-determination scheme shows high modulation recognition accuracy and low mean SNR estimation error. Therefore, it can be a better alternative for designers of next generation wireless communication systems.eninfo:eu-repo/semantics/openAccessModulationSignal to noise ratioPhase shift keyingFeature extractionQuadrature amplitude modulationFading channelsReceiversModulation recognitionSNR estimation5G communication systemsupport vector machinefeature-based approachArticle10.1109/ACCESS.2021.30572422-s2.0-8510083854325857Q1258439WOS:000619293700001Q2