activity
20162026
most citedEnabling and Emerging Technologies for Social Distancing: A Comprehensive Survey and Open Problems

167 citations · 531 across the 87 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

eess.SP2019

"Borrowing Arrows with Thatched Boats": The Art of Defeating Reactive Jammers in IoT Networks

Dinh Thai Hoang, Diep N. Nguyen, Mohammad Abu Alsheikh +4

In this article, we introduce a novel deception strategy which is inspired by the "Borrowing Arrows with Thatched Boats", one of the most famous military tactics in the history, in…

eess.SP2019★ 1 cited

Energy Demand Prediction with Federated Learning for Electric Vehicle Networks

Yuris Mulya Saputra, Dinh Thai Hoang, Diep N. Nguyen +3

In this paper, we propose novel approaches using state-of-the-art machine learning techniques, aiming at predicting energy demand for electric vehicle (EV) networks. These methods…

eess.SP2019★ 1 cited

Joint Power Control and User Association for NOMA-Based Full-Duplex Systems

Hieu V. Nguyen, Van-Dinh Nguyen, Octavia A. Dobre +3

This paper investigates the coexistence of non-orthogonal multiple access (NOMA) and full-duplex (FD) to improve both spectral efficiency (SE) and user fairness. In such a scenario…

cs.NI2019★ 2 cited

Optimal Energy Efficiency with Delay Constraints for Multi-layer Cooperative Fog Computing Networks

Thai T. Vu, Diep N. Nguyen, Dinh Thai Hoang +2

We develop a joint offloading and resource allocation framework for a multi-layer cooperative fog computing network, aiming to minimize the total energy consumption of multiple mob…

cs.NI2019

"Jam Me If You Can'': Defeating Jammer with Deep Dueling Neural Network Architecture and Ambient Backscattering Augmented Communications

Nguyen Van Huynh, Diep N. Nguyen, Dinh Thai Hoang +1

With conventional anti-jamming solutions like frequency hopping or spread spectrum, legitimate transceivers often tend to "escape" or "hide" themselves from jammers. These reactive…

cs.NI2019

Optimal and Fast Real-time Resources Slicing with Deep Dueling Neural Networks

Nguyen Van Huynh, Dinh Thai Hoang, Diep N. Nguyen +1

Effective network slicing requires an infrastructure/network provider to deal with the uncertain demand and real-time dynamics of network resource requests. Another challenge is th…