activity
20162022
most citedReconfigurable Intelligent Surface-Assisted Massive MIMO: Favorable Propagation, Channel Hardening, and Rank Deficiency

4 citations · 6 across the 11 of their papers we have counts for

collaborators

11 papers

cs.IT2022

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…

cs.IT2021

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…

cs.IT20214 cited

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…

cs.IT2021

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…

cs.IT2021

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…

cs.IT2021

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…