A convolutionally coded M-ary orthogonal direct sequence code division multiple access
(DS-CDMA) system in time-varying frequency-selective Rayleigh fading channels is …

In recent years, deep learning is becoming more and more popular. It has been widely
applied to fields including image recognition, automatic speech recognition and natural …

When it comes to studies on smart receiver designs, using machine learning and deep
learning techniques for the development of automatic modulation classifiers as well as …

In the last few years Machine Learning (ML) has seen explosive growth in a wide range of
research fields and industries. With the advancements in Software Defined Radio (SDR) …

Artificial neural networks (ANNs) are increasingly being considered for physical layer
communications, an area where traditional statistical signal processing and decision theory …

This paper reviews the neural network (NN) based digital pre-distortion techniques for
linearizing multi-band and multiple-input multiple-output (MIMO) transmitters. The most …

Applying rotated and cyclic Q delayed (RCQD) modulation on the transmitter side improves
the performance of the receiver in case of fading channel conditions along with erasures …

Abstract IEEE802. 15.4 standard has quickly become a benchmark in the era of Internet of
things. The mandatory mode of 2.4 GHz physical layer of IEEE802. 15.4 standard employs …

Signal modulation identification (SMI) plays a very important role in orthogonal frequency-
division multiplexing (OFDM) systems. Currently, SMI methods are often implemented via …

IQ modulation enjoys great popularity in wireless communication. Its main advantage is the
symmetric convenience of combining independent signal components into a single …