6 papers
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…
Seeing Through WiFi: Lightweight Human Pose Estimation with Dynamic Kernel Attention
Toan D. Gian, Van-Dinh Nguyen, Vo Phi Son +5
WiFi-based human pose estimation (HPE) enables the detection and interpretation of human body positions and movements without the need for wearable devices while preserving individ…
Joint Service Placement and Resource Optimization in Hierarchical Edge-Cloud Networks
Vo Phi Son, Van-Dinh Nguyen, Minh-Tuong Nguyen +5
Hierarchical edge-cloud computing-aided Internet of Things (IoT) networks offer low-latency and cost-efficient services to a growing number of data-intensive IoT devices. However,…
TinySense: Effective CSI Compression for Scalable and Accurate Wi-Fi Sensing
Toan Gian, Dung T. Tran, Viet Quoc Pham +2
With the growing demand for device-free and privacy-preserving sensing solutions, Wi-Fi sensing has emerged as a promising approach for human pose estimation (HPE). However, existi…
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…
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…