4 citations · 10 across the 22 of their papers we have counts for
23 papers
On the Investigation of Antenna Beam Pattern Models for Fast Beam Placement in LEO Satellite Networks
Ninh Thi-Thanh Tam, Nguyen Viet Anh, Nguyen Minh Quan +1
In this paper, we investigate the impact of antenna beam pattern models on the beam placement problem in Low Earth Orbit (LEO) satellite networks. Unlike conventional beam placemen…
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…
Single- and Multi-Objective Stochastic Optimization for Next-Generation Networks in the Generative AI and Quantum Computing Era
Trinh Van Chien, Bui Trong Duc, Nguyen Xuan Tung +4
Next Generation (NG) networks move beyond simply connecting devices to creating an ecosystem of connected intelligence, especially with the support of generative Artificial Intelli…
Trustworthy GenAI over 6G: Integrated Applications and Security Frameworks
Bui Duc Son, Trinh Van Chien, Dong In Kim
The integration of generative artificial intelligence (GenAI) into 6G networks promises substantial performance gains while simultaneously exposing novel security vulnerabilities r…
Clustering Strategies in Satellite-Aided Communications
Tam Ninh Thi-Thanh, Nguyen Minh Quan, Do Son Tung +2
With the rapid advancement of next-generation satellite networks, addressing clustering tasks, user grouping, and efficient link management has become increasingly critical to opti…
Hybrid Quantum Convolutional Neural Network-Aided Pilot Assignment in Cell-Free Massive MIMO Systems
Doan Hieu Nguyen, Xuan Tung Nguyen, Seon-Geun Jeong +3
A sophisticated hybrid quantum convolutional neural network (HQCNN) is conceived for handling the pilot assignment task in cell-free massive MIMO systems, while maximizing the tota…
Maximizing the Promptness of Metaverse Systems using Edge Computing by Deep Reinforcement Learning
Tam Ninh Thi-Thanh, Trinh Van Chien, Hung Tran +2
Metaverse and Digital Twin (DT) have attracted much academic and industrial attraction to approach the future digital world. This paper introduces the advantages of deep reinforcem…
Quantum Annealing-Based Sum Rate Maximization for Multi-UAV-Aided Wireless Networks
Seon-Geun Jeong, Pham Dang Anh Duc, Quang Vinh Do +7
In wireless communication networks, it is difficult to solve many NP-hard problems owing to computational complexity and high cost. Recently, quantum annealing (QA) based on quantu…
Fast Beam Placement for Ultra-Dense LEO Networks
Trinh Van Chien, Nguyen Minh Quan, Tri Nhu Do +3
Low Earth orbit (LEO) satellites has brought about significant improvements in wireless communications, characterized by low latency and reduced transmission loss compared to geost…
Adversarial Attacks Against Double RIS-Assisted MIMO Systems-based Autoencoder in Finite-Scattering Environments
Bui Duc Son, Ngo Nam Khanh, Trinh Van Chien +1
Autoencoder permits the end-to-end optimization and design of wireless communication systems to be more beneficial than traditional signal processing. However, this emerging learni…
Optimal Operation of Active RIS-Aided Wireless Powered Communications in IoT Networks
Waqas Khalid, A. -A. A. Boulogeorgos, Trinh Van Chien +3
Wireless-powered communications (WPCs) are increasingly crucial for extending the lifespan of low-power Internet of Things (IoT) devices. Furthermore, reconfigurable intelligent su…
Image Restoration under Semantic Communications
Trinh Van Chien, Le Hong Phong, Dao Xuan Phuc +1
Semantic communication has emerged as the breakthrough beyond the Shannon theorem by transmitting and receiving semantic information instead of data bits or symbols regardless of i…
Channel Estimation in RIS-assisted Downlink Massive MIMO: A Learning-Based Approach
Tung T. Vu, Trinh Van Chien, Canh T. Dinh +2
For downlink massive multiple-input multiple-output (MIMO) operating in time-division duplex protocol, users can decode the signals effectively by only utilizing the channel statis…
Controlling Smart Propagation Environments: Long-Term versus Short-Term Phase Shift Optimization
Trinh Van Chien, Lam Thanh Tu, Dinh-Hieu Tran +4
Reconfigurable intelligent surfaces (RISs) have recently gained significant interest as an emerging technology for future wireless networks. This paper studies an RIS-assisted prop…
Reconfigurable Intelligent Surface-Assisted Massive MIMO: Favorable Propagation, Channel Hardening, and Rank Deficiency
Trinh Van Chien, Hien Quoc Ngo, Symeon Chatzinotas +1
Massive multiple-input multiple-output (MIMO) and reconfigurable intelligent surface (RIS) are two promising technologies for 5G-and-beyond wireless networks, capable of providing…
User Scheduling for Precoded Satellite Systems with Individual Quality of Service Constraints
Trinh Van Chien, Eva Lagunas, Tung Hai Ta +2
Multibeam high throughput satellite (MB-HTS) systems will play a key role in delivering broadband services to a large number of users with diverse Quality of Service (QoS) requirem…
Massive MIMO under Double Scattering Channels: Power Minimization and Congestion Controls
Trinh Van Chien, Hien Quoc Ngo, Symeon Chatzinotas +2
This paper considers a massive MIMO system under the double scattering channels. We derive a closed-form expression of the uplink ergodic spectral efficiency (SE) by exploiting the…
Deep Learning-Aided 5G Channel Estimation
An Le Ha, Trinh Van Chien, Tien Hoa Nguyen +2
Deep learning has demonstrated the important roles in improving the system performance and reducing computational complexity for G-and-beyond networks. In this paper, we propose…
Uplink Power Control in Cellular Massive MIMO Systems: Coping With the Congestion Issue
Trinh Van Chien, Emil Björnson, Hien Quoc Ngo
One main goal of 5G-and-beyond systems is to simultaneously serve many users, each having a requested spectral efficiency (SE), in an energy-efficient way. The network capacity can…
Sum Spectral Efficiency Maximization in Massive MIMO Systems: Benefits from Deep Learning
Trinh Van Chien, Emil Björnson, Erik G. Larsson
This paper investigates the joint data and pilot power optimization for maximum sum spectral efficiency (SE) in multi-cell Massive MIMO systems, which is a non-convex problem. We f…
Two-Layer Decoding in Cellular Massive MIMO Systems with Spatial Channel Correlation
Trinh Van Chien, Christopher Mollén, Emil Björnson
This paper studies a two-layer decoding method that mitigates inter-cell interference in multi-cell Massive MIMO systems. In layer one, each base station (BS) estimates the channel…
Distributed Power Control in Downlink Cellular Massive MIMO Systems
Trinh Van Chien, Emil Björnson, Erik G. Larsson +1
This paper compares centralized and distributed methods to solve the power minimization problem with quality-of-service (QoS) constraints in the downlink (DL) of multi-cell Massive…
Downlink Power Control for Massive MIMO Cellular Systems with Optimal User Association
Trinh Van Chien, Emil Björnson, Erik G. Larsson
This paper aims to minimize the total transmit power consumption for Massive MIMO (multiple-input multiple-output) downlink cellular systems when each user is served by the optimiz…