Integrated sensing and communications: Recent advances and ten open challenges

S Lu, F Liu, Y Li, K Zhang, H Huang… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
It is anticipated that integrated sensing and communications (ISAC) would be one of the key
enablers of next-generation wireless networks (such as beyond 5G (B5G) and 6G) for …

[HTML][HTML] Quantum-empowered federated learning and 6G wireless networks for IoT security: Concept, challenges and future directions

D Javeed, MS Saeed, I Ahmad, M Adil, P Kumar… - Future Generation …, 2024 - Elsevier
Abstract The Internet of Things (IoT) has revolutionized various sectors by enabling
seamless device interaction. However, the proliferation of IoT devices has also raised …

Lightweight privacy-preserving predictive maintenance in 6G enabled IIoT

H Li, S Li, G Min - Journal of Industrial Information Integration, 2024 - Elsevier
While the 5G is being rolled out in different industrial sectors, the 6G is expected to
implement data-driven ubiquitous machine learning for industrial information integration …

A Survey On Mean-Field Game for Dynamic Management and Control in Space-Air-Ground Network

Y Wang, C Yang, T Li, X Mi, L Li… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
The data traffic volume of the 6th generation (6G) mobile communication networks is huge,
and there are novel challenges in various communications services and scenarios. This …

From generative ai to generative internet of things: Fundamentals, framework, and outlooks

J Wen, J Nie, J Kang, D Niyato, H Du… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Generative Artificial Intelligence (GAI) possesses the capabilities of generating realistic data
and facilitating advanced decision-making. By integrating GAI into modern Internet of Things …

IMFL-AIGC: Incentive Mechanism Design for Federated Learning Empowered by Artificial Intelligence Generated Content

G Huang, Q Wu, J Li, X Chen - IEEE Transactions on Mobile …, 2024 - ieeexplore.ieee.org
Federated learning (FL) has emerged as a promising paradigm that enables clients to
collaboratively train a shared global model without uploading their local data. To alleviate …

6G Non-terrestrial networks-enhanced IoT service coverage: Injecting new vitality into ecological surveillance

D Zhou, M Sheng, C Bao, Q Hao, S Ji, J Li - IEEE Network, 2024 - ieeexplore.ieee.org
Diverse Internet of Things (IoT) devices strategically deployed in remote geographical areas,
spanning remote lands and offshore locations, play a crucial role in environmental …

Semantic communications for image recovery and classification via deep joint source and channel coding

Z Lyu, G Zhu, J Xu, B Ai, S Cui - IEEE Transactions on Wireless …, 2024 - ieeexplore.ieee.org
With the recent advancements in edge artificial intelligence (AI), future sixth-generation (6G)
networks need to support new AI tasks such as classification and clustering apart from data …

Federated learning for green and sustainable 6G IIoT applications

VK Quy, DC Nguyen, D Van Anh, NM Quy - Internet of Things, 2024 - Elsevier
The 6th generation mobile network (6G) is expected to be launched in the early 2030s. The
architecture of 6G will be the convergence of space, air, ground, and undersea networks …

Adversarial Attacks and Defenses in 6G Network-Assisted IoT Systems

BD Son, NT Hoa, T Van Chien, W Khalid… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
The Internet of Things (IoT) and massive IoT systems are key to sixth-generation (6G)
networks due to dense connectivity, ultrareliability, low latency, and high throughput …