Evolution and future trends of research in cognitive radio: a contemporary survey

E Hossain, D Niyato, DI Kim - Wireless Communications and …, 2015 - Wiley Online Library
The cognitive radio (CR) paradigm for designing next‐generation wireless communications
systems is becoming increasingly popular, and different aspects of it are being implemented …

Research and development in the networks of cognitive radio: a survey

GT Bharathy, V Rajendran, M Meena… - … Networks and Application …, 2021 - Springer
The cognitive radio (CR) prototype that has been intended to scheme the future wireless
communication structures is emerging progressively by utilizing its various features within …

A lightweight deep learning architecture for automatic modulation classification of wireless internet of things

J Han, Z Yu, J Yang - IET Communications, 2024 - Wiley Online Library
Abstract The wireless Internet of Things (IoT) is widely used for data transmission in power
systems. Wireless communication is an important part of the IoT. The existing modulation …

Dynamic spectrum sensing with automatic modulation classification for a cognitive radio enabled NomadicBTS

FJ Olaloye, E Adetiba - Journal of Physics: Conference Series, 2019 - iopscience.iop.org
Abstract An existing Nomadic Base Transceiver Station (NomadicBTS) architecture
designed and implemented in the literature was built on software defined radio technology …

New low complexity variance method for automatic modulation classification and comparison with maximum likelihood method

JB Tamakuwala - 2019 International Conference on Range …, 2019 - ieeexplore.ieee.org
The automatic classification of modulation (ACM) scheme is divided into two classes,
namely, feature-based (FB) and likelihood-based (LB) algorithms. In this paper, a new FB …

A novel automatic modulation classification for M-QAM signals using adaptive fuzzy clustering model

GY Zhang, X Yan, SH Wang… - 2018 15th International …, 2018 - ieeexplore.ieee.org
An automatic modulation classification (AMC) method for M-ary quadrature Amplitude
Modulation (M-QAM) signals using adaptive fuzzy clustering model is presented. In the …

Automatic Modulation Classification using Software Defined Radio System

PK Devi, NN Kumar, MS Varun… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
A rapidly developing technology, Automatic Modulation Classification (AMC) finds
application in software defined radio architecture, particularly in 5G and 6G technologies …

Kernel-based generalized discriminant analysis for signal classification in cognitive radio

T Zare, J Abouei - 7'th International Symposium on …, 2014 - ieeexplore.ieee.org
The reaction of detection and classification of signals in low Signal-to-Noise Ratio (SNR)
regimes poses significant challenges in the physical layer design of cognitive radio …

[PDF][PDF] Spectrum sensing for cognitive radio systems using modulation classification: A review

MR Bahloul, MZ Yusoff, AH Abdel-Aty… - … . Math. Inf. Sci, 2017 - digitalcommons.aaru.edu.jo
Spectrum sensing is the most important procedure for the operation of cognitive radio
systems. To overcome the shortcomings of the conventional spectrum sensing techniques …

[图书][B] Verfahren zur automatischen Spektralanalyse für die Optimierung drahtloser Kommunikation und Sensorik

C Weber - 2020 - books.google.com
Ein effizientes Frequenzmanagement ist essentiell, um dem Bedarf an interferenzfreier
Funkkommunikation gerecht zu werden. In diesem Zusammenhang wird das Konzept eines …