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 …

Multiple-mode orthogonal frequency division multiplexing with index modulation (MM-OFDM-
IM), which transmits an OFDM signal with information bits embedded onto multiple …

As an emerging multi-carrier transmission scheme, multiple-mode orthogonal frequency
division multiplexing with index modulation (MM-OFDM-IM) conveys information through …

We propose a novel deep energy autoencoder (EA) for noncoherent multicarrier multiuser
single-input multiple-output (MU-SIMO) systems under fading channels. In particular, a …

In this paper, a novel opportunistic spectrum sharing scheme, based on orthogonal
frequency division multiplexing with index modulation (OFDM-IM), is proposed for cognitive …

We propose a new spread orthogonal frequency division multiplexing with index modulation
(S-OFDM-IM), which employs precoding matrices such as Walsh-Hadamard (WH) and …

This paper proposes a deep learning (DL) based method for signal detection in multiple-
input multiple-output orthogonal frequency division multiplexing with index modulation …

In this paper, we investigate the performance of cooperative orthogonal frequency division
multiplexing with index modulation (OFDM-IM) with the low complexity greedy detection …

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 …

This paper presents a novel variant of filter bank multicarrier (FBMC) communication, which
carries additional bits through mapping the real and imaginary parts of the symbol to the …