4 papers
Physics-Informed Unsupervised Learning for Reliable Beamforming in Cluttered MIMO-ISAC
Yosefine Triwidyastuti, Nghia Thinh Nguyen, Tri Nhu Do
In this paper, we consider joint beamforming and power allocation for a mobile multiuser MIMO integrated sensing and communication (ISAC) network with clutter, residual self-interf…
Probabilistic Denoising-Enhanced ISAC for Stochastic Cluttered Mobile Environments
Nghia Thinh Nguyen, Tri Nhu Do
In this paper, we propose Probabilistic Denoising ISAC (PDISAC), a framework built on a multi-bit slot-partitioned ISAC waveform: by partitioning each maximal-length sequence into…
Temporal Micro-Doppler Spectrogram-based ViT Multiclass Target Classification
Nghia Thinh Nguyen, Tri Nhu Do
In this paper, we propose a new Temporal MDS-Vision Transformer (T-MDS-ViT) for multiclass target classification using millimeter-wave FMCW radar micro-Doppler spectrograms. Specif…
Generative and Explainable AI for High-Dimensional Channel Estimation
Nghia Thinh Nguyen, Tri Nhu Do
In this paper, we propose a new adversarial training framework to address high-dimensional instantaneous channel estimation in wireless communications. Specifically, we train a gen…