Edge learning for 6G-enabled Internet of Things: A comprehensive survey of vulnerabilities, datasets, and defenses

MA Ferrag, O Friha, B Kantarci… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The deployment of the fifth-generation (5G) wireless networks in Internet of Everything (IoE)
applications and future networks (eg, sixth-generation (6G) networks) has raised a number …

A study on multi-antenna and pertinent technologies with AI/ML approaches for B5G/6G networks

MUA Siddiqui, F Qamar, SHA Kazmi, R Hassan… - Electronics, 2022 - mdpi.com
The quantum leap in mobile data traffic and high density of wireless electronic devices,
coupled with the advancements in industrial radio monitoring and autonomous systems …

Machine learning for millimeter wave and terahertz beam management: A survey and open challenges

MQ Khan, A Gaber, P Schulz, G Fettweis - IEEE Access, 2023 - ieeexplore.ieee.org
Next-generation wireless communication networks will benefit from beamforming gain to
utilize higher bandwidths at millimeter wave (mmWave) and terahertz (THz) bands. For high …

Asynchronous hybrid reinforcement learning for latency and reliability optimization in the metaverse over wireless communications

W Yu, TJ Chua, J Zhao - IEEE Journal on Selected Areas in …, 2023 - ieeexplore.ieee.org
Technology advancements in wireless communications and high-performance Extended
Reality (XR) have empowered the developments of the Metaverse. The demand for the …

Resource allocation of federated learning for the metaverse with mobile augmented reality

X Zhou, C Liu, J Zhao - IEEE Transactions on Wireless …, 2023 - ieeexplore.ieee.org
The Metaverse has received much attention recently. Metaverse applications via mobile
augmented reality (MAR) require rapid and accurate object detection to mix digital data with …

Applications of Distributed Machine Learning for the Internet-of-Things: A Comprehensive Survey

M Le, T Huynh-The, T Do-Duy, TH Vu… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
The emergence of new services and applications in emerging wireless networks (eg,
beyond 5G and 6G) has shown a growing demand for the usage of artificial intelligence (AI) …

Terahertz meets AI: the state of the art

A Farhad, JY Pyun - Sensors, 2023 - mdpi.com
Terahertz (THz) is a promising technology for future wireless communication networks,
particularly for 6G and beyond. The ultra-wide THz band, ranging from 0.1 to 10 THz, can …

AI-enabled reliable QoS in multi-RAT wireless IoT networks: Prospects, challenges, and future directions

K Zia, A Chiumento… - IEEE Open Journal of the …, 2022 - ieeexplore.ieee.org
Wireless IoT networks have seen an unprecedented rise in number of devices,
heterogeneity and emerging use cases which led to diverse throughput, reliability and …

Distributed machine learning for uav swarms: Computing, sensing, and semantics

Y Ding, Z Yang, QV Pham, Y Hu… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
The unmanned aerial vehicle (UAV) swarms have shown great potential to serve next-
generation communication networks with their extraordinary flexibility, affordability, and the …

Decentralized DNN task partitioning and offloading control in MEC systems with energy harvesting devices

F Wang, S Cai, VKN Lau - IEEE Journal of Selected Topics in …, 2022 - ieeexplore.ieee.org
In this paper, we study a decentralized deep neural network (DNN) task partitioning and
offloading control problem for a multi-access edge computing (MEC) system with multiple …