Quoc-Viet Pham

research

∙ 01/03/2023

Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics

Unmanned aerial vehicle (UAV) swarms are considered as a promising techn...

Yahao Ding, et al. ∙

research

∙ 12/13/2022

Edge Computing for Semantic Communication Enabled Metaverse: An Incentive Mechanism Design

Semantic communication (SemCom) and edge computing are two disruptive so...

Nguyen Cong Luong, et al. ∙

research

∙ 11/02/2022

Explainable AI over the Internet of Things (IoT): Overview, State-of-the-Art and Future Directions

Explainable Artificial Intelligence (XAI) is transforming the field of A...

Senthil Kumar Jagatheesaperumal, et al. ∙

research

∙ 09/29/2022

Label driven Knowledge Distillation for Federated Learning with non-IID Data

In real-world applications, Federated Learning (FL) meets two challenges...

Minh-Duong Nguyen, et al. ∙

research

∙ 06/02/2022

Resource Allocation for Compression-aided Federated Learning with High Distortion Rate

Recently, a considerable amount of works have been made to tackle the co...

Xuan-Tung Nguyen, et al. ∙

research

∙ 04/16/2022

IIFNet: A Fusion based Intelligent Service for Noisy Preamble Detection in 6G

In this article, we present our vision of preamble detection in a physic...

Sunder Ali Khowaja, et al. ∙

research

∙ 04/14/2022

HCFL: A High Compression Approach for Communication-Efficient Federated Learning in Very Large Scale IoT Networks

Federated learning (FL) is a new artificial intelligence concept that en...

Minh-Duong Nguyen, et al. ∙

research

∙ 04/05/2022

Aerial Computing: A New Computing Paradigm, Applications, and Challenges

In existing computing systems, such as edge computing and cloud computin...

Quoc-Viet Pham, et al. ∙

research

∙ 02/23/2022

AI-empowered Joint Communication and Radar Systems with Adaptive Waveform for Autonomous Vehicles

In Joint Communication and Radar (JCR)-based Autonomous Vehicle (AV) sys...

Nam H. Chu, et al. ∙

research

∙ 02/15/2022

Artificial Intelligence for the Metaverse: A Survey

Along with the massive growth of the Internet from the 1990s until now, ...

Thien Huynh-The, et al. ∙

research

∙ 11/16/2021

Federated Learning for Smart Healthcare: A Survey

Recent advances in communication technologies and Internet-of-Medical-Th...

Dinh C Nguyen, et al. ∙

research

∙ 10/11/2021

Blockchain for Edge of Things: Applications, Opportunities, and Challenges

In recent years, blockchain networks have attracted significant attentio...

Thippa Reddy Gadekallu, et al. ∙

research

∙ 10/08/2021

Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions

Big data has remarkably evolved over the last few years to realize an en...

Thippa Reddy Gadekallu, et al. ∙

research

∙ 07/29/2021

Secure Swarm UAV-assisted Communications with Cooperative Friendly Jamming

This article proposes a cooperative friendly jamming framework for swarm...

Hanh Dang-Ngoc, et al. ∙

research

∙ 07/17/2021

Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts

The very first infected novel coronavirus case (COVID-19) was found in H...

Quoc-Viet Pham, et al. ∙

research

∙ 07/15/2021

Genetic CFL: Optimization of Hyper-Parameters in Clustered Federated Learning

Federated learning (FL) is a distributed model for deep learning that in...

shaashwat agrawal, et al. ∙

research

∙ 04/27/2021

Toward Blockchain for Edge-of-Things: A New Paradigm, Opportunities, and Future Directions

Blockchain is gaining momentum as a promising technology for many applic...

Prabadevi B, et al. ∙

research

∙ 04/05/2021

Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges

Mobile edge computing (MEC) has been envisioned as a promising paradigm ...

Dinh C Nguyen, et al. ∙

research

∙ 03/20/2021

UAV Communications for Sustainable Federated Learning

Federated learning (FL), invented by Google in 2016, has become a hot re...

Quoc-Viet Pham, et al. ∙

research

∙ 02/15/2021

Transfer Learning for Future Wireless Networks: A Comprehensive Survey

With outstanding features, Machine Learning (ML) has been the backbone o...

Cong T. Nguyen, et al. ∙

research

∙ 02/14/2021

Survey on Aerial Radio Access Networks: Toward a Comprehensive 6G Access Infrastructure

Current network access infrastructures are characterized by heterogeneit...

Nhu-Ngoc Dao, et al. ∙

research

∙ 01/20/2021

Deep Learning for Intelligent Demand Response and Smart Grids: A Comprehensive Survey

Electricity is one of the mandatory commodities for mankind today. To ad...

Prabadevi B, et al. ∙

research

∙ 01/19/2021

IRS-Empowered Wireless Communications: State-of-the-Art, Key Techniques, and Open Issues

In this article, we overview intelligent reflecting surface (IRS)-empowe...

Ming Zeng, et al. ∙

research

∙ 01/10/2021

Sum-Rate Maximization for UAV-assisted Visible Light Communications using NOMA: Swarm Intelligence meets Machine Learning

As the integration of unmanned aerial vehicles (UAVs) into visible light...

Quoc-Viet Pham, et al. ∙

research

∙ 01/04/2021

Fusion of Federated Learning and Industrial Internet of Things: A Survey

Industrial Internet of Things (IIoT) lays a new paradigm for the concept...

Parimala M, et al. ∙

research

∙ 10/05/2020

Intelligent reflecting surface aided wireless networks-Harris Hawks optimization for beamforming design

Intelligent Reflecting Surface (IRS) is envisioned to be a promising gre...

Xu Huaqiang, et al. ∙

research

∙ 09/11/2020

Energy-Efficient Design of IRS-NOMA Networks

Combining intelligent reflecting surface (IRS) and non-orthogonal multip...

Fang Fang, et al. ∙

research

∙ 09/04/2020

Learning Constellation Map with Deep CNN for Accurate Modulation Recognition

Modulation classification, recognized as the intermediate step between s...

Van-Sang Doan, et al. ∙

research

∙ 09/04/2020

Chain-Net: Learning Deep Model for Modulation Classification Under Synthetic Channel Impairment

Modulation classification, an intermediate process between signal detect...

Thien Huynh-The, et al. ∙

research

∙ 09/02/2020

A Survey on Blockchain for Big Data: Approaches, Opportunities, and Future Directions

Big data has generated strong interest in various scientific and enginee...

Natarajan Deepa, et al. ∙

research

∙ 08/19/2020

Intelligent Radio Signal Processing: A Contemporary Survey

Intelligent signal processing for wireless communications is a vital tas...

Quoc-Viet Pham, et al. ∙

research

∙ 07/30/2020

Swarm Intelligence for Next-Generation Wireless Networks: Recent Advances and Applications

Due to the proliferation of smart devices and emerging applications, man...

Quoc-Viet Pham, et al. ∙

research

∙ 07/25/2020

Unmanned Aerial Vehicles in Smart Agriculture: Applications, Requirements and Challenges

In the next few years, smart farming will reach each and every nook of t...

Praveen Kumar Reddy Maddikunta, et al. ∙

research

∙ 07/12/2020

Clustering and Power Allocation for UAV-assisted NOMA-VLC Systems: A Swarm Intelligence Approach

Integrating unmanned aerial vehicles (UAV) to non-orthogonal multiple ac...

Quoc-Viet Pham, et al. ∙

research

∙ 10/31/2019

Intelligent Reflecting Surface Aided Network: Power Control for Physical-Layer Broadcasting

As a recently proposed idea for future wireless systems, intelligent ref...

Huimei Han, et al. ∙

research

∙ 06/20/2019

A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art

Driven by the emergence of new compute-intensive applications and the vi...

Quoc-Viet Pham, et al. ∙

research

∙ 03/02/2018

Decentralized Computation Offloading and Resource Allocation in Heterogeneous Networks with Mobile Edge Computing

We consider a heterogeneous network with mobile edge computing, where a ...

Quoc-Viet Pham, et al. ∙

research

∙ 01/15/2018

Power Control for Harmonic Utility in Non-Orthogonal Multiple Access based Visible Light Communications

Visible light communication is a promising technique in future networks ...

Quoc-Viet Pham, et al. ∙

Quoc-Viet Pham

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