Deep Reinforcement Learning for Intelligent Reflecting Surface-assisted D2D Communications

no code implementations • 6 Aug 2021 • Khoi Khac Nguyen, Antonino Masaracchia, Cheng Yin, Long D. Nguyen, Octavia A. Dobre, Trung Q. Duong

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 supported by an intelligent reflecting surface (IRS).

reinforcement-learning Reinforcement Learning (RL)

Reconfigurable Intelligent Surface-assisted Multi-UAV Networks: Efficient Resource Allocation with Deep Reinforcement Learning

no code implementations • 28 May 2021 • Khoi Khac Nguyen, Saeed Khosravirad, Daniel Benevides da Costa, Long D. Nguyen, Trung Q. Duong

In this paper, we propose reconfigurable intelligent surface (RIS)-assisted unmanned aerial vehicles (UAVs) networks that can utilise both advantages of UAV's agility and RIS's reflection for enhancing the network's performance.

Decision Making Reinforcement Learning (RL)

Physical Layer Security: Detection of Active Eavesdropping Attacks by Support Vector Machines

no code implementations • 2 Mar 2020 • Tiep M. Hoang, Trung Q. Duong, Hoang Duong Tuan, Sangarapillai Lambotharan, Emi Garcia-Palacios, Long D. Nguyen

This paper presents a framework for converting wireless signals into structured datasets, which can be fed into machine learning algorithms for the detection of active eavesdropping attacks at the physical layer.