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 …
Q Li, M Wen, E Basar, F Chen - IEEE Transactions on wireless …, 2018 - ieeexplore.ieee.org
In this paper, we propose an index modulated orthogonal frequency division multiplexing spread spectrum (IM-OFDM-SS) scheme, which combines the techniques of SS and IM …
As an emerging multi-carrier transmission scheme, multiple-mode orthogonal frequency division multiplexing with index modulation (MM-OFDM-IM) conveys information through …
This paper investigates optical orthogonal frequency division multiplexing (O-OFDM) systems with index modulation (IM) based on discrete Hartley transform (DHT) for visible …
T Van Luong, Y Ko - IEEE Transactions on Vehicular …, 2017 - ieeexplore.ieee.org
This paper proposes a novel framework to analyze the symbol error probability (SEP) for multicarrier index keying orthogonal frequency-division multiplexing (MCIK-OFDM) systems …
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 work, we investigate the performance of multicarrier index keying (MCIK) orthogonal frequency division multiplexing (OFDM) proposing a hybrid low complexity detection and …
In this letter, a convolutional neural network-based detection framework is proposed for the wireless communication systems using orthogonal frequency-division multiplexing with …
T Van Luong, Y Ko - IEEE Transactions on Vehicular …, 2018 - ieeexplore.ieee.org
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 …