2 citations · 4 across the 14 of their papers we have counts for
5 papers · 1 filter
DeepHSIC: Deep Learning-based Signal Detector for Hybrid Downlink IM-NOMA
Dung Nguyen Tran, Toan D. Gian, Tien-Hoa Nguyen +3
DeepHSIC is introduced as a neural receiver for hybrid downlink IM-NOMA transmission. The considered scheme combines power-domain NOMA with a composite OFDM/OFDM-IM waveform, so th…
Deep Learning Based Successive Interference Cancellation for the Non-Orthogonal Downlink
Thien Van Luong, Nir Shlezinger, Chao Xu +3
Non-orthogonal communications are expected to play a key role in future wireless systems. In downlink transmissions, the data symbols are broadcast from a base station to different…
Generalized BER of MCIK-OFDM with Imperfect CSI: Selection combining GD versus ML receivers
Vu-Duc Ngo, Thien Van Luong, Nguyen Cong Luong +3
This paper analyzes the bit error rate (BER) of multicarrier index keying - orthogonal frequency division multiplexing (MCIK-OFDM) with selection combining (SC) diversity reception…
Enhancing Diversity of OFDM with Joint Spread Spectrum and Subcarrier Index Modulations
Vu-Duc Ngo, Thien Van Luong, Nguyen Cong Luong +4
This paper proposes a novel spread spectrum and sub-carrier index modulation (SS-SIM) scheme, which is integrated to orthogonal frequency division multiplexing (OFDM) framework to…
Deep Energy Autoencoder for Noncoherent Multicarrier MU-SIMO Systems
Thien Van Luong, Youngwook Ko, Ngo Anh Vien +2
We propose a novel deep energy autoencoder (EA) for noncoherent multicarrier multiuser single-input multipleoutput (MU-SIMO) systems under fading channels. In particular, a single-…