activity
20192024
most citedEnabling and Emerging Technologies for Social Distancing: A Comprehensive Survey and Open Problems

167 citations · 171 across the 10 of their papers we have counts for

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Showing cs.NIShow all

8 papers · 1 filter

cs.NI2024★ 1 cited

Dynamic Spectrum Access for Ambient Backscatter Communication-assisted D2D Systems with Quantum Reinforcement Learning

Nguyen Van Huynh, Bolun Zhang, Dinh-Hieu Tran +5

Spectrum access is an essential problem in device-to-device (D2D) communications. However, with the recent growth in the number of mobile devices, the wireless spectrum is becoming…

cs.NI2024★ 1 cited

Deep Reinforcement Learning for Network Energy Saving in 6G and Beyond Networks

Dinh-Hieu Tran, Nguyen Van Huynh, Soumeya Kaada +3

Network energy saving has received great attention from operators and vendors to reduce energy consumption and CO2 emissions to the environment as well as significantly reduce cost…

cs.NI2024

Applications of Generative AI (GAI) for Mobile and Wireless Networking: A Survey

Thai-Hoc Vu, Senthil Kumar Jagatheesaperumal, Minh-Duong Nguyen +3

The success of Artificial Intelligence (AI) in multiple disciplines and vertical domains in recent years has promoted the evolution of mobile networking and the future Internet tow…

cs.NI2024★ 1 cited

DDPG-E2E: A Novel Policy Gradient Approach for End-to-End Communication Systems

Bolun Zhang, Nguyen Van Huynh, Dinh Thai Hoang +2

The End-to-end (E2E) learning-based approach has great potential to reshape the existing communication systems by replacing the transceivers with deep neural networks. To this end,…

cs.NI2021

Defeating Super-Reactive Jammers With Deception Strategy: Modeling, Signal Detection, and Performance Analysis

Nguyen Van Huynh, Diep N. Nguyen, Dinh Thai Hoang +3

This paper develops a novel framework to defeat a super-reactive jammer, one of the most difficult jamming attacks to deal with in practice. Specifically, the jammer has an unlimit…

cs.NI2021

Joint Coding and Scheduling Optimization for Distributed Learning over Wireless Edge Networks

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

Unlike theoretical distributed learning (DL), DL over wireless edge networks faces the inherent dynamics/uncertainty of wireless connections and edge nodes, making DL less efficien…