Dinh-Thuan Do

University of Mount Union

United States

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Articles (17)

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2025

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2024

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2024

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2023

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2023

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2023

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2022

Collaborators (5)

Tran Tin Phu

VSB - Technical University of Ostrava

CZECH REPUBLIC

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Xingwang Li

Howard University

UNITED STATES

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Adao Silva

Prof.

Universidade de Aveiro

PORTUGAL

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Yuan Ding

Associate Professor

Heriot-Watt University

UNITED KINGDOM

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Dinesh Bharadia

University of California, San Diego

UNITED STATES

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Dinh-Thuan Do

Research Interests

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Articles (17)

Secure Performance Analysis of User Pairs in Active Reconfigurable Intelligent Surface-Aided IoT Systems

Evaluating AoI-Centric HARQ Protocols for UAV Networks

Enhancing NOMA Backscatter IoT Communications With RIS

Beamforming Design in Reconfigurable Intelligent Surface-Assisted IoT Networks Based on Discrete Phase Shifters and Imperfect CSI

UAV-Enabled Multi-Pair Massive MIMO-NOMA Relay Systems With Low-Resolution ADCs/DACs

Evaluating AoI-Centric HARQ Protocols for UAV Networks

Impacts of Co-Channel Interference on Performance of Downlink IRS-NOMA Systems

Underwater Target Detection Using Deep Learning: Methodologies, Challenges, Applications, and Future Evolution

New look at secure performance of massive MIMO with low-resolution DACs

IQ-Impaired Wireless-Powered Modify-and-Forward Relaying for IoT Networks: An In-Depth Physical-Layer Security Analysis

Evaluating the Performance of Proposed Switched Beam Antenna Systems in Dynamic V2V Communication Networks

Deep Reinforcement Learning-Based Adaptive Beam Tracking and Resource Allocation in 6G Vehicular Networks with Switched Beam Antennas

Antenna Selection and Device Grouping for Spectrum-Efficient UAV-Assisted IoT Systems

An Ensemble Tree-Based Model for Intrusion Detection in Industrial Internet of Things Networks

An Efficient Authenticated Elliptic Curve Cryptography Scheme for Multicore Wireless Sensor Networks

Short-Term Traffic Prediction Using Deep Learning Long Short-Term Memory: Taxonomy, Applications, Challenges, and Future Trends

Computation Offloading and Resource Allocation in MEC-Enabled Integrated Aerial-Terrestrial Vehicular Networks: A Reinforcement Learning Approach

Collaborators (5)

Tran Tin Phu

Xingwang Li

Adao Silva

Yuan Ding

Dinesh Bharadia

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