449 citations · 1.4k across the 25 of their papers we have counts for
25 papers
OTFS-Enabled Delayed SINR-Feedback Power Control for Reliable and Fair High-Mobility UAV Communications
Thuan Van Le, Nguyen Cong Luong, Trong-Dai Hoang +4
This paper develops a power control framework driven by delayed signal-to-interference-plus-noise ratio (SINR) feedback for orthogonal time frequency space (OTFS) unmanned aerial v…
Diffusion Models for Future Networks and Communications: A Comprehensive Survey
Nguyen Cong Luong, Nguyen Duc Hai, Duc Van Le +9
The rise of Generative AI (GenAI) in recent years has catalyzed transformative advances in wireless communications and networks. Among the members of the GenAI family, Diffusion Mo…
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…
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…
Metaverse for Industry 5.0 in NextG Communications: Potential Applications and Future Challenges
B. Prabadevi, N. Deepa, Nancy Victor +7
With the advent of new technologies and endeavors for automation in almost all day-to-day activities, the recent discussions on the metaverse life have a greater expectation. Furth…
A Survey on Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges, and Future Directions
Ali Kashif Bashir, Nancy Victor, Sweta Bhattacharya +7
Recent technological advancements have considerately improved healthcare systems to provide various intelligent healthcare services and improve the quality of life. Federated learn…
Need of 6G for the Metaverse Realization
Bartlomiej Siniarski, Chamitha De Alwis, Gokul Yenduri +4
The concept of the Metaverse aims to bring a fully-fledged extended reality environment to provide next generation applications and services. Development of the Metaverse is backed…
Edge Computing for Semantic Communication Enabled Metaverse: An Incentive Mechanism Design
Nguyen Cong Luong, Quoc-Viet Pham, Thien Huynh-The +3
Semantic communication (SemCom) and edge computing are two disruptive solutions to address emerging requirements of huge data communication, bandwidth efficiency and low latency da…
Metaverse for Healthcare: A Survey on Potential Applications, Challenges and Future Directions
Rajeswari Chengoden, Nancy Victor, Thien Huynh-The +7
The rapid progress in digitalization and automation have led to an accelerated growth in healthcare, generating novel models that are creating new channels for rendering treatment…
Blockchain for the Metaverse: A Review
Thippa Reddy Gadekallu, Thien Huynh-The, Weizheng Wang +5
Since Facebook officially changed its name to Metaverse in Oct. 2021, the metaverse has become a new norm of social networks and three-dimensional (3D) virtual worlds. The metavers…
Artificial Intelligence for the Metaverse: A Survey
Thien Huynh-The, Quoc-Viet Pham, Xuan-Qui Pham +3
Along with the massive growth of the Internet from the 1990s until now, various innovative technologies have been created to bring users breathtaking experiences with more virtual…
An Efficient Deep CNN Design for EH Short-Packet Communications in Multihop Cognitive IoT Networks
Toan-Van Nguyen, Thien Huynh-The, Van-Dinh Nguyen +3
In this paper, we design an efficient deep convolutional neural network (CNN) to improve and predict the performance of energy harvesting (EH) short-packet communications in multi-…
Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and Research Challenges
Shen Wang, M. Atif Qureshi, Luis Miralles-Pechuán +3
When 5G began its commercialisation journey around 2020, the discussion on the vision of 6G also surfaced. Researchers expect 6G to have higher bandwidth, coverage, reliability, en…
Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions
Thippa Reddy Gadekallu, Quoc-Viet Pham, Thien Huynh-The +6
In the recent years, generation of data have escalated to extensive dimensions and big data has emerged as a propelling force in the development of various machine learning advance…
Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts
Quoc-Viet Pham, Dinh C. Nguyen, Thien Huynh-The +2
The very first infected novel coronavirus case (COVID-19) was found in Hubei, China in Dec. 2019. The COVID-19 pandemic has spread over 214 countries and areas in the world, and ha…
Machine Learning-based Reconfigurable Intelligent Surface-aided MIMO Systems
Nhan Thanh Nguyen, Ly V. Nguyen, Thien Huynh-The +3
Reconfigurable intelligent surface (RIS) technology has recently emerged as a spectral- and cost-efficient approach for wireless communications systems. However, existing hand-engi…
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…
Sum-Rate Maximization for UAV-assisted Visible Light Communications using NOMA: Swarm Intelligence meets Machine Learning
Quoc-Viet Pham, Thien Huynh-The, Mamoun Alazab +2
As the integration of unmanned aerial vehicles (UAVs) into visible light communications (VLC) can offer many benefits for massive-connectivity applications and services in 5G and b…
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…
Learning Constellation Map with Deep CNN for Accurate Modulation Recognition
Van-Sang Doan, Thien Huynh-The, Cam-Hao Hua +2
Modulation classification, recognized as the intermediate step between signal detection and demodulation, is widely deployed in several modern wireless communication systems. Altho…
Chain-Net: Learning Deep Model for Modulation Classification Under Synthetic Channel Impairment
Thien Huynh-The, Van-Sang Doan, Cam-Hao Hua +2
Modulation classification, an intermediate process between signal detection and demodulation in a physical layer, is now attracting more interest to the cognitive radio field, wher…
Intelligent Radio Signal Processing: A Survey
Quoc-Viet Pham, Nhan Thanh Nguyen, Thien Huynh-The +3
Intelligent signal processing for wireless communications is a vital task in modern wireless systems, but it faces new challenges because of network heterogeneity, diverse service…
Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions
Thanh Thi Nguyen, Quoc Viet Hung Nguyen, Dung Tien Nguyen +7
Artificial intelligence (AI) has been applied widely in our daily lives in a variety of ways with numerous success stories. AI has also contributed to dealing with the coronavirus…
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…