activity
20172021
most citedMulti-cell Massive MIMO Beamforming in Assuring QoS for Large Numbers of Users

8 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2021★ 4 cited

Deep Reinforcement Learning for Intelligent Reflecting Surface-assisted D2D Communications

Khoi Khac Nguyen, Antonino Masaracchia, Cheng Yin +3

In this paper, we propose a deep reinforcement learning (DRL) approach for solving the optimisation problem of the network's sum-rate in device-to-device (D2D) communications suppo…

cs.NI2020

A Reliable Link-adaptive Position-based Routing Protocol for Flying Ad hoc Network

Qamar Usman, Omer Chughtai, Nadia Nawaz +3

Flying ad hoc network (FANET) provides portable and flexible communication for many applications and possesses several unique design challenges; a key one is the successful deliver…

cs.IT2018

Real-time Optimal Resource Allocation for Embedded UAV Communication Systems

Minh-Nghia Nguyen, Long D. Nguyen, Trung Q. Duong +1

We consider device-to-device (D2D) wireless information and power transfer systems using an unmanned aerial vehicle (UAV) as a relay-assisted node. As the energy capacity and fligh…

cs.IT2017★ 8 cited

Multi-cell Massive MIMO Beamforming in Assuring QoS for Large Numbers of Users

Long D. Nguyen, Hoang D. Tuan, Trung Q. Duong +1

Massive multi-input multi-output (MIMO) uses a very large number of low-power transmit antennas to serve much smaller numbers of users. The most widely proposed type of massive MIM…

cs.IT2017★ 2 cited

Energy Efficiency in Cell-Free Massive MIMO with Zero-Forcing Precoding Design

L. D. Nguyen, T. Q. Duong, H. Q. Ngo +1

We consider the downlink of a cell-free massive multiple-input multiple-output (MIMO) network where numerous distributed access points (APs) serve a smaller number of users under t…