Index modulation (IM) reduces the power consumption and hardware cost of the multiple-
input multiple-output (MIMO) system by activating part of the antennas for data transmission …

Index modulation (IM) brings the reduction of power consumption and complexity of
transmitter to classical multiple-input multiple-output orthogonal frequency division …

Deep learning (DL) is playing an increasingly important role in the design of next-generation
communication systems. In this paper, we apply DL algorithms to enhance signal detection …

Index Modulation (IM) is a flexible transmission scheme capable of striking a flexible
performance, throughput, diversity and complexity trade-off. The concept of Multi …

In this letter, a convolutional neural network-based detection framework is proposed for the
wireless communication systems using orthogonal frequency-division multiplexing with …

Multiple-input multiple-output orthogonal frequency division multiplexing with index
modulation (MIMO-OFDM-IM) has been introduced as a new transmission method for 5G …

This letter presents the power of deep learning for signal detection in orthogonal frequency
division multiplexing with index modulation (OFDM-IM) systems. In this letter, we propose …

This letter presents the first attempt of exploiting deep learning (DL) in the signal detection of
orthogonal frequency division multiplexing with index modulation (OFDM-IM) systems …

The concept of Index Modulation (IM) has been actively researched as a benefit of its flexible
trade-off between performance, achievable rate, energy efficiency, hardware cost and …

Index modulation (IM) leads to a decrease in power consumption and transmitter complexity
compared to classical orthogonal frequency division multiplexing (OFDM) systems. The …