12 citations · 12 across the 7 of their papers we have counts for
9 papers
Mobility- and Feedback-Aware Multi-Level Conflict-Triggered Hybrid Beamforming for Multi-User mmWave UAV Systems
Thuan Van Le, Nguyen Cong Luong, Xingwang Li +2
This paper investigates hybrid beamforming for multi-user large multiple-input multiple-output millimeter-wave unmanned aerial vehicle (UAV) downlink systems under mobility-induced…
Feedback-Efficient Beam-User Association for Near-Field mmWave Hybrid Beamforming Systems
Thuan Van Le, Ngoc-Thanh Nguyen, Nam Van Dinh +4
Near-field multiuser hybrid beamforming (HBF) requires joint angle-distance codebooks whose size, and hence reporting overhead, grows with the array aperture. For the extremely lar…
Active STAR-RIS-Aided RSMA IoT Systems: Performance Analysis, Model-Based and Data-Driven Resource Allocation Frameworks
Ngo Hoang Tu, Vo Nguyen Quoc Bao, Tran Thien Thanh
STAR-RISs have emerged as a promising technology for achieving full-space signal coverage with low hardware complexity and energy consumption. In parallel, RSMA offers a flexible i…
Hierarchical Empirical-Bayes Naive Bayes: Minimax Smoothing and Calibration with AODE Extension
Nguyen Thai Anh, Truong Viet Vu, Tran Thien Thanh +2
The Naive Bayes (NB) classifier remains a standard choice for categorical data, yet its widely used smoothing rules, such as Laplace, Lidstone, Krichevsky-Trofimov, and the -est…
Hybrid Beamforming in Non-Terrestrial Networks: Architectures, Design Challenges, and Opportunities
Thuan Van Le, Nguyen Cong Luong, Huy T. Nguyen +6
Hybrid analog-digital beamforming (HBF) has emerged as a key enabling technology for non-terrestrial networks (NTNs), where large antenna arrays are required to compensate for seve…
ATCNet-CIAM for Multi-Session Motor Imagery EEG Signal Classification
Le Huu Son Hai, Nguyen Chi Hai, Truong Viet Vu +3
Motor imagery (MI)-based electroencephalography is widely used in non-invasive brain--computer interfaces (BCIs), but robust decoding remains challenging due to inter-subject varia…