612 citations · 2.7k across the 63 of their papers we have counts for
20 papers · 1 filter
Integration of TinyML and LargeML: A Survey of 6G and Beyond
Thai-Hoc Vu, Ngo Hoang Tu, Thien Huynh-The +4
The evolution from fifth-generation (5G) to sixth-generation (6G) networks is driving an unprecedented demand for advanced machine learning (ML) solutions. Deep learning has alread…
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…
A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions
Ons Aouedi, Thai-Hoc Vu, Alessio Sacco +4
The rapid advances in the Internet of Things (IoT) have promoted a revolution in communication technology and offered various customer services. Artificial intelligence (AI) techni…
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…
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,…
Applications of Distributed Machine Learning for the Internet-of-Things: A Comprehensive Survey
Mai Le, Thien Huynh-The, Tan Do-Duy +3
The emergence of new services and applications in emerging wireless networks (e.g., beyond 5G and 6G) has shown a growing demand for the usage of artificial intelligence (AI) in th…
Wirelessly Powered Federated Learning Networks: Joint Power Transfer, Data Sensing, Model Training, and Resource Allocation
Mai Le, Dinh Thai Hoang, Diep N. Nguyen +2
Federated learning (FL) has found many successes in wireless networks; however, the implementation of FL has been hindered by the energy limitation of mobile devices (MDs) and the…
IIFNet: A Fusion based Intelligent Service for Noisy Preamble Detection in 6G
Sunder Ali Khowaja, Kapal Dev, Parus Khuwaja +4
In this article, we present our vision of preamble detection in a physical random access channel for next-generation (Next-G) networks using machine learning techniques. Preamble d…
Aerial Computing: A New Computing Paradigm, Applications, and Challenges
Quoc-Viet Pham, Rukhsana Ruby, Fang Fang +5
In existing computing systems, such as edge computing and cloud computing, several emerging applications and practical scenarios are mostly unavailable or only partially implemente…
AI-enabled mm-Waveform Configuration for Autonomous Vehicles with Integrated Communication and Sensing
Nam H. Chu, Diep N. Nguyen, Dinh Thai Hoang +4
Integrated Communications and Sensing (ICS) has recently emerged as an enabling technology for ubiquitous sensing and IoT applications. For ICS application to Autonomous Vehicles (…
Federated Learning Framework with Straggling Mitigation and Privacy-Awareness for AI-based Mobile Application Services
Yuris Mulya Saputra, Diep N. Nguyen, Dinh Thai Hoang +3
In this work, we propose a novel framework to address straggling and privacy issues for federated learning (FL)-based mobile application services, taking into account limited compu…
UAV Communications for Sustainable Federated Learning
Quoc-Viet Pham, Ming Zeng, Rukhsana Ruby +2
Federated learning (FL), invented by Google in 2016, has become a hot research trend. However, enabling FL in wireless networks has to overcome the limited battery challenge of mob…
Survey on Aerial Radio Access Networks: Toward a Comprehensive 6G Access Infrastructure
Nhu-Ngoc Dao, Quoc-Viet Pham, Ngo Hoang Tu +4
Current network access infrastructures are characterized by heterogeneity, low latency, high throughput, and high computational capability, enabling massive concurrent connections…
Fusion of Federated Learning and Industrial Internet of Things: A Survey
Parimala M, Swarna Priya R M, Quoc-Viet Pham +4
Industrial Internet of Things (IIoT) lays a new paradigm for the concept of Industry 4.0 and paves an insight for new industrial era. Nowadays smart machines and smart factories us…
Intelligent reflecting surface aided wireless networks-Harris Hawks optimization for beamforming design
Xu Huaqiang, Zhang Guodong, Zhao Jun +1
Intelligent Reflecting Surface (IRS) is envisioned to be a promising green and cost-effective solution to enhance wireless network performance by smartly reconfiguring the signal p…
Swarm Intelligence for Next-Generation Wireless Networks: Recent Advances and Applications
Quoc-Viet Pham, Dinh C. Nguyen, Seyedali Mirjalili +4
Due to the proliferation of smart devices and emerging applications, many next-generation technologies have been paid for the development of wireless networks. Even though commerci…
Clustering and Power Allocation for UAV-assisted NOMA-VLC Systems: A Swarm Intelligence Approach
Quoc-Viet Pham, Nhu-Ngoc Dao, Thien Huynh-The +2
Integrating unmanned aerial vehicles (UAV) to non-orthogonal multiple access (NOMA) visible light communications (VLC) exposes many potentials over VLC and NOMA-VLC systems. In thi…
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art
Quoc-Viet Pham, Fang Fang, Vu Nguyen Ha +5
Driven by the emergence of new compute-intensive applications and the vision of the Internet of Things (IoT), it is foreseen that the emerging 5G network will face an unprecedented…
Decentralized Computation Offloading and Resource Allocation in Heterogeneous Networks with Mobile Edge Computing
Quoc-Viet Pham, Tuan LeAnh, Nguyen H. Tran +1
We consider a heterogeneous network with mobile edge computing, where a user can offload its computation to one among multiple servers. In particular, we minimize the system-wide c…
Power Control for Harmonic Utility in Non-Orthogonal Multiple Access based Visible Light Communications
Quoc-Viet Pham, Choong Seon Hong
Visible light communication is a promising technique in future networks due to its advantages of high data rate and licensed-free spectrum. In addition, non-orthogonal multiple acc…