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Multiple access techniques for intelligent and multifunctional 6G: Tutorial, survey, and outlook
Multiple access (MA) is a crucial part of any wireless system and refers to techniques that
make use of the resource dimensions (eg, time, frequency, power, antenna, code, and …
make use of the resource dimensions (eg, time, frequency, power, antenna, code, and …
A survey on over-the-air computation
Communication and computation are often viewed as separate tasks. This approach is very
effective from the perspective of engineering as isolated optimizations can be performed …
effective from the perspective of engineering as isolated optimizations can be performed …
Survey: federated learning data security and privacy-preserving in edge-Internet of Things
H Li, L Ge, L Tian - Artificial Intelligence Review, 2024 - Springer
The amount of data generated owing to the rapid development of the Smart Internet of
Things is increasing exponentially. Traditional machine learning can no longer meet the …
Things is increasing exponentially. Traditional machine learning can no longer meet the …
Joint spectrum, precoding, and phase shifts design for RIS-aided multiuser MIMO THz systems
Terahertz (THz) wireless systems aim to support content-rich applications with ultra-high
data rate. Due to high molecular absorption, THz signals experience severe path loss over …
data rate. Due to high molecular absorption, THz signals experience severe path loss over …
Federated learning via unmanned aerial vehicle
Federated learning (FL) has emerged as a promising alternative to centralized machine
learning for exploiting large amounts of data generated by networks while ensuring data …
learning for exploiting large amounts of data generated by networks while ensuring data …
Online optimization for over-the-air federated learning with energy harvesting
Federated learning (FL) is recognized as a promising privacy-preserving distributed
machine learning paradigm, given its potential to enable collaborative model training among …
machine learning paradigm, given its potential to enable collaborative model training among …
Federated Edge Learning for 6G: Foundations, Methodologies, and Applications
Artificial intelligence (AI) is envisioned to be natively integrated into the sixth-generation (6G)
mobile networks to support a diverse range of intelligent applications. Federated edge …
mobile networks to support a diverse range of intelligent applications. Federated edge …
Federated fine-tuning for pre-trained foundation models over wireless networks
Pre-trained foundation models (FMs), with extensive number of neurons, are key to
advancing next-generation intelligence services, where personalizing these models …
advancing next-generation intelligence services, where personalizing these models …
Graph attention-based MADRL for access control and resource allocation in wireless networked control systems
Wireless networked control systems (WNCS) offer great potential for revolutionizing the
industrial automation by enabling wireless coordination between sensors, decision centers …
industrial automation by enabling wireless coordination between sensors, decision centers …
A survey of graph-based resource management in wireless networks-part ii: Learning approaches
This two-part survey provides a comprehensive review of graph optimization and learning
for resource management in wireless networks. In Part I, we introduced the fundamentals of …
for resource management in wireless networks. In Part I, we introduced the fundamentals of …