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 paper, we consider the problem of low-complexity detection of orthogonal time
frequency space (OTFS) modulation signals using deep neural networks (DNN). We …

In this paper we proposed the use of JT65A radio communication protocol for data exchange
in wide-area monitoring systems in electric power systems. We investigated the software …

A deep learning assisted sum-product detection algorithm (DL-SPDA) for faster-than-Nyquist
(FTN) signaling is proposed in this paper. The proposed detection algorithm works on a …

In this paper we present the symbol and bit error rate performance of the weak signal digital
communications system. We investigate orthogonal multiple frequency shift keying …

To solve the problem of bit error rate (BER) performance degradation over strong solar wind
turbulence channel, this paper addresses to Gaussian minimum frequency shift keying …

Research of novel biosignal modalities with application to remote patient monitoring is a
subject of state-of-the-art developments. This study is focused on sonified ECG modality …

In recent years, deep learning has been applied widely in the field of communication. In this
paper, a deep learning-based frequency modulation (FM) demodulation method is proposed …

Among the various fields where deep learning is used, there are challenges to be solved in
motion recognition. One is that it is difficult to manage because of the vast amount of data …

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 …