Intelligent signal processing for wireless communications is a vital task in modern wireless
systems, but it faces new challenges because of network heterogeneity, diverse service …

In orthogonal frequency division multiplexing (OFDM) with index modulation, the modulation
parameters to be classified include both the signal constellation and the number of active …

This paper presents a hierarchical hypothesis test and a feature-based blind modulation
classification (BMC) algorithm for linearly modulated signals. The proposed BMC method is …

In this article, we design and implement a tree-based blind modulation classification
algorithm for asynchronous multiple-input–multiple-output and orthogonal frequency …

In this paper, we study the automatic modulation classification in a non-orthogonal multiple
access system. To mitigate the effect of interference, a likelihood-based algorithm and a …

Blind modulation classification is a fundamental step before signal detection in cognitive
radio networks where the knowledge of modulation scheme is not completely known. In this …

Orthogonal frequency-division multiplexing (OFDM) is commonly deployed in Internet of
Things (IoT) systems to achieve high data rates with reasonable complexity, where …

In this paper, we propose a blind modulation classifier that differs from most existing
classifiers. A low complexity minimum distance centroid estimator is suggested to estimate …

Hybrid likelihood-based approaches equipped with the expectation-maximization (EM)
algorithm have received attention in the modulation classification literature during recent …

The process of automatic classification of a detected signal's employed modulation type has
gained importance in recent years. The goal of such an approach is to maximize the …