3 papers
cs.IT2026
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…
eess.SP2023
Transformer-Based Deep Learning Detector for Dual-Mode Index Modulation 3D-OFDM
Toan Gian, Tien-Hoa Nguyen, Trung Tan Nguyen +2
In this paper, we propose a deep learning-based signal detector called TransD3D-IM, which employs the Transformer framework for signal detection in the Dual-mode index modulation-a…
cs.IT2022
Deep Neural Network-Based Detector for Single-Carrier Index Modulation NOMA
Toan Gian, Vu-Duc Ngo, Tien-Hoa Nguyen +2
In this paper, a deep neural network (DNN)-based detector for an uplink single-carrier index modulation nonorthogonal multiple access (SC-IM-NOMA) system is proposed, where SC-IM-N…