The next-generation of wireless networks will enable many machine learning (ML) tools and
applications to efficiently analyze various types of data collected by edge devices for …

Non-Orthogonal Multiple Access (NOMA) has become a promising evolution with the
emergence of fifth-generation (5G) and Beyond-5G (B5G) rollouts. The potentials of NOMA …

In this letter, we propose an improved convolutional neural network (CNN)-based automatic
modulation classification network (IC-AMCNet), an algorithm to classify the modulation type …

Deep learning has recently been applied to automatically classify the modulation categories
of received radio signals without manual experience. However, training deep learning …

In this paper, we review a variety of deep learning algorithms and models for modulation
recognition and classification of wireless communication signals. Specifically, deep learning …

An automatic modulation classification has a very broad application in wireless
communications. Recently, deep learning has been used to solve this problem and …

This paper presents a systematic and comprehensive survey that reviews the latest research
efforts focused on machine learning (ML) based performance improvement of wireless …

The current wireless communication infrastructure has to face exponential development in
mobile traffic size, which demands high data rate, reliability, and low latency. MIMO systems …

There is significant enthusiasm for the employment of Deep Neural Networks (DNNs) for
important tasks in major wireless communication systems: channel estimation and decoding …

Blindly decoding a signal requires estimating its unknown transmit parameters,
compensating for the wireless channel impairments, and identifying the modulation type …