This paper surveys Artificial Intelligence (AI) methods for acquiring and managing context-of-
operation awareness of radio communication nodes, links, and networks. The meaning and …

This paper focus on cyclostationary feature detection based spectrum sensing for accurate,
fast and efficient primary signal detection. When secondary users fail to realize the white …

Automatic modulation recognition (AMR) is becoming more important because it is usable in
advanced general-purpose communication such as, cognitive radio, as well as, specific …

Automatic modulation classification (AMC) is playing an increasingly important role in
spectrum monitoring and cognitive radio. As communication and electronic technologies …

Automatic modulation classification (AMC) has been identified to perform a key role to
realize technologies such as cognitive radio, dynamic spectrum management, and …

With the popularity of software-defined radio and cognitive radio-technologies in wireless
communication, radio frequency devices have to adapt to changing conditions and adjust its …

Automatic modulation classification (AMC) is a process of automatic detection of modulation
format imposed on the received signal with no prior information (carrier, signal power, phase …

In this paper a low-complexity cyclostationary-based modulation classifier is presented,
which is capable of distinguishing between OFDM, GFSK and QPSK modulations. The …

Automatic modulation classification (AMC) has been used in channel estimation to better
understand the active users and signals. Traditional methods used complex and …

Demodulation process without the knowledge of modulation scheme requires Automatic
Modulation Classification (AMC). When receiver has limited information about received …