collaborators

14 papers

cs.IT2026

Joint Load Balancing and Transmit Power Control for Energy Efficiency Maximization in the Satellite-Cell-Free Massive MIMO Uplink

Ngo Tran Anh Thu, Lo Hai Long, Le Duc Anh Vu +2

The seamless integration of non-terrestrial and terrestrial infrastructures is a key enabler for ubiquitous connectivity in next-generation (NG) wireless networks. We investigate a…

cs.LG2026

Multi-Timescale Latent-Action DRL for Joint Optimization in Edge-Cloud Networks

Vo Phi Son, Van-Dinh Nguyen, Ngoc Hung Nguyen +2

Load imbalance across edge and cloud layers degrades latency performance in hierarchical edge-cloud computing (HECC) systems under dynamic task arrivals and heterogeneous resources…

cs.IT2026

Deterministic versus Stochastic Optimization for Joint Path Planning and Dynamic Time Splitting in Multiple-UAV-Cached IoT Networks

Trinh Van Chien, Dinh Thanh Tung, Waqas Khalid +3

This paper examines wireless-powered Internet of Things (IoT) networks involving multiple unmanned aerial vehicles (UAVs) equipped with backscatter and caching technologies to rela…

eess.SP2026

Network-Assisted Full-Duplex Cell-Free Massive MIMO Systems Under Infeasible Circumstances

Trinh Van Chien, Bui Trong Duc, Mohammadali Mohammadi +2

Cell-free massive multiple-input multiple-output is a potential candidate for future networks with pervasive connectivity by utilizing coherent joint transmission and distributed a…

cs.IT2026

Energy Efficiency Maximization for Integrated Sensing and Communications in Satellite-UAV MIMO Systems

Ngo Tran Anh Thu, Pham Dang Anh Duc, Bui Trong Duc +3

This paper investigates energy efficiency maximization in an integrated sensing and communication framework for satellite-UAV MIMO systems, where a LEO satellite and a UAV simultan…

cs.IT2026

Scalable Quantum Message Passing Graph Neural Networks for Next-Generation Wireless Communications: Architectures, Use Cases, and Future Directions

Le Tung Giang, Nguyen Xuan Tung, Trinh Van Chien +2

Graph Neural Networks (GNNs) are eminently suitable for wireless resource management, thanks to their scalability, but they still face computational challenges in large-scale, dens…